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• Published: 04 April 2022

Economic losses from COVID-19 cases in the Philippines: a dynamic model of health and economic policy trade-offs

• Elvira P. de Lara-Tuprio 1 ,
• Maria Regina Justina E. Estuar 2 ,
• Joselito T. Sescon 3 ,
• Cymon Kayle Lubangco   ORCID: orcid.org/0000-0002-1292-4687 3 ,
• Rolly Czar Joseph T. Castillo 3 ,
• Timothy Robin Y. Teng 1 ,
• Lenard Paulo V. Tamayo 2 ,
• Jay Michael R. Macalalag 4 &
• Gerome M. Vedeja 3  

Humanities and Social Sciences Communications volume  9 , Article number:  111 ( 2022 ) Cite this article

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The COVID-19 pandemic forced governments globally to impose lockdown measures and mobility restrictions to curb the transmission of the virus. As economies slowly reopen, governments face a trade-off between implementing economic recovery and health policy measures to control the spread of the virus and to ensure it will not overwhelm the health system. We developed a mathematical model that measures the economic losses due to the spread of the disease and due to different lockdown policies. This is done by extending the subnational SEIR model to include two differential equations that capture economic losses due to COVID-19 infection and due to the lockdown measures imposed by the Philippine government. We then proceed to assess the trade-off policy space between health and economic measures faced by the Philippine government. The study simulates the cumulative economic losses for 3 months in 8 scenarios across 5 regions in the country, including the National Capital Region (NCR), to capture the trade-off mechanism. These scenarios present the various combinations of either retaining or easing lockdown policies in these regions. Per region, the trade-off policy space was assessed through minimising the 3-month cumulative economic losses subject to the constraint that the average health-care utilisation rate (HCUR) consistently falls below 70%, which is the threshold set by the government before declaring that the health system capacity is at high risk. The study finds that in NCR, a policy trade-off exists where the minimum cumulative economic losses comprise 10.66% of its Gross Regional Domestic Product. Meanwhile, for regions that are non-adjacent to NCR, a policy that hinges on trade-off analysis does not apply. Nevertheless, for all simulated regions, it is recommended to improve and expand the capacity of the health system to broaden the policy space for the government in easing lockdown measures.

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Introduction.

The Philippine population of 110 million comprises a relatively young population. On May 22, 2021, the number of confirmed COVID-19 cases reported in the country is 1,171,403 with 55,531 active cases, 1,096,109 who recovered, and 19,763 who died. As a consequence of the pandemic, the real gross domestic product (GDP) contracted by 9.6% year-on-year in 2020—the sharpest decline since the Philippine Statistical Agency (PSA) started collecting data on annual growth rates in 1946 (Bangko Sentral ng Pilipinas, 2021 ). The strictest lockdown imposed from March to April 2020 had the most severe repercussions to the economy, but restrictions soon after have generally eased on economic activities all over the country. However, schools at all levels remain closed and minimum restrictions are still imposed in business operations particularly in customer accommodation capacity in service establishments.

The government is poised for a calibrated reopening of business, mass transportation, and the relaxation of age group restrictions. The government expects a strong recovery before the end of 2021, when enough vaccines have been rolled out against COVID-19. However, the economic recovery plan and growth targets at the end of the year are put in doubt with the first quarter of 2021 growth rate of GDP at -4.2%. This is exacerbated by the surge of cases in March 2021 that took the National Capital Region (NCR) and contiguous provinces by surprise, straining the hospital bed capacity of the region beyond its limits. The government had to reinforce stricter lockdown measures and curfew hours to stem the rapid spread of the virus. The country’s economic development authority proposes to ensure hospitals have enough capacity to allow the resumption of social and economic activities (National Economic and Development Authority, 2020 ). This is justified by pointing out that the majority of COVID-19 cases are mild and asymptomatic.

Efforts in monitoring and mitigating the spread of COVID-19 requires understanding the behaviour of the disease through the development of localised disease models operationalized as an ICT tool accessible to policymakers. FASSSTER is a scenario-based disease surveillance and modelling platform designed to accommodate multiple sources of data as input allowing for a variety of disease models and analytics to generate meaningful information to its stakeholders (FASSSTER, 2020 ). FASSSTER’s module on COVID-19 currently provides information and forecasts from national down to city/municipality level that are used for decision-making by individual local government units (LGUs) and also by key government agencies in charge of the pandemic response.

In this paper, we develop a mathematical model that measures the economic losses due to the spread of the disease and due to different lockdown policies to contain the disease. This is done by extending the FASSSTER subnational Susceptible-Exposed-Infectious-Recovered (SEIR) model to include two differential equations that capture economic losses due to COVID-19 infection and due to the lockdown measures imposed by the Philippine government. We then proceed to assess the trade-off policy space faced by the Philippine government given the policy that health-care utilisation rate must not be more than 70%, which is the threshold set by the government before declaring that the health system capacity is at high risk.

We simulate the cumulative economic losses for 3 months in 8 scenarios across 5 regions in the country, including the National Capital Region (NCR) to capture the trade-off mechanism. These 8 scenarios present the various combinations of either retaining or easing lockdown policies in these regions. Per region, the trade-off policy space was assessed through minimising the 3-month cumulative economic losses subject to the constraint that the average health-care utilisation rate (HCUR) consistently falls below 70%. The study finds that in NCR, a policy trade-off exists where the minimum economic losses below the 70% average HCUR comprise 10.66% of its Gross Regional Domestic Product. Meanwhile, for regions that are non-adjacent to NCR, a policy that hinges on trade-off analysis does not apply. Nevertheless, for all simulated regions, it is recommended to improve and expand the capacity of the health system to broaden the policy space for the government in easing lockdown measures.

The sections of the paper proceed as follows: the first section reviews the literature, the second section explains the FASSSTER SEIR model, the third section discusses the economic dynamic model, the fourth section specifically explains the parameters used in the economic model, the fifth section briefly lays out the policy trade-off model, the sixth discusses the methods used in implementing the model, the seventh section presents the results of the simulations, the eighth section discusses and interprets the results, and the final section presents the conclusion.

Review of related literature

Overview of the economic shocks of pandemics.

The onslaught of the Coronavirus Disease 2019 (COVID-19) pandemic since 2020 has disrupted lifestyles and livelihoods as governments restrict mobility and economic activity in their respective countries. Unfortunately, this caused a –3.36% decline in the 2020 global economy (World Bank, 2022 ), which will have pushed 71 million people into extreme poverty (World Bank, 2020 ; 2021 ).

As an economic phenomenon, pandemics may be classified under the typologies of disaster economics. Particularly, a pandemic’s impacts may be classified according to the following (Benson and Clay, 2004 ; Noy et al., 2020 ; Keogh-Brown et al., 2010 ; 2020 ; McKibbin and Fernando, 2020 ; Verikios et al., 2012 ): (a) direct impacts, where pandemics cause direct labour supply shocks due to mortality and infection; (b) indirect impacts on productivity, firm revenue, household income, and other welfare effects, and; (c) macroeconomic impacts of a pandemic.

For most pandemic scenarios, social distancing and various forms of lockdowns imposed by countries around the world had led to substantial disruptions in the supply-side of the economy with mandatory business closures (Maital and Barzani, 2020 ; Keogh-Brown et al., 2010 ). Social distancing will have contracted labour supply as well, thus contributing to contractions in the macroeconomy (Geard et al., 2020 ; Keogh-Brown et al., 2010 ). Thus, in general, the literature points to a pandemic’s impacts on the supply- and demand-side, as well as the displacement of labour supply; thus, resulting in lower incomes (Genoni et al., 2020 ; Hupkau et al., 2020 ; United Nations Development Programme, 2021 ). Often, these shocks result from the lockdown measures; thus, a case of a trade-off condition between economic losses and the number of COVID-19 casualties.

Static simulations for the economic impacts of a pandemic

The typologies above are evident in the analyses and simulations on welfare and macroeconomic losses related to a pandemic. For instance, computable general equilibrium (CGE) and microsimulation analyses for the 2009 H1N1 pandemic and the COVID-19 pandemic showed increases in inequities, welfare losses, and macroeconomic losses due to lockdown and public prevention strategies (Cereda et al., 2020 ; Keogh-Brown et al., 2020 ; Keogh-Brown et al., 2010 ). Public prevention-related labour losses also comprised at most 25% of the losses in GDP in contrast with health-related losses, which comprised only at most 17% of the losses in GDP.

Amidst the COVID-19 pandemic in Ghana, Amewu et al. ( 2020 ) find in a social accounting matrix-based analysis that the industry and services sectors will have declined by 26.8% and 33.1%, respectively. Other studies investigate the effects of the pandemic on other severely hit sectors such as the tourism sector. Pham et al. ( 2021 ) note that a reduction in tourism demand in Australia will have caused a reduction in income of tourism labourers. Meanwhile, in a static CGE-microsimulation model by Laborde, Martin, and Vos ( 2021 ), they show that as the global GDP will have contracted by 5% following the reduction in labour supply, this will have increased global poverty by 20%, global rural poverty by 15%, poverty in sub-Saharan Africa by 23%, and in South Asia by 15%.

However, due to the static nature of these analyses, the clear trade-off between economic and health costs under various lockdown scenarios is a policy message that remains unexplored, as the simulations above only explicitly tackle a pandemic’s macroeconomic effects. This gap is mostly due to these studies’ usage of static SAM- and CGE-based analyses.

Dynamic simulations for the economic impacts of a pandemic

An obvious advantage of dynamic models over static approaches in estimating the economic losses from the pandemic is the capacity to provide forward-looking insights that have practical use in policymaking. Epidemiological models based on systems of differential equations explicitly model disease spread and recovery as movements of population across different compartments. These compartmental models are useful in forecasting the number of infected individuals, critically ill patients, death toll, among others, and thus are valuable in determining the appropriate intervention to control epidemics.

To date, the Susceptible-Infectious-Recovered (SIR) and SEIR models are among the most popular compartmental models used to study the spread of diseases. In recent years, COVID-19 has become an important subject of more recent mathematical modelling studies. Many of these studies deal with both application and refinement of both SIR and SEIR to allow scenario-building, conduct evaluation of containment measures, and improve forecasts. These include the integration of geographical heterogeneities, the differentiation between isolated and non-isolated cases, and the integration of interventions such as reducing contact rate and isolation of active cases (Anand et al., 2020 ; Chen et al., 2020 ; Hou et al., 2020 ; Peng et al., 2020 ; Reno et al., 2020 ).

Typical epidemiological models may provide insight on the optimal lockdown measure to reduce the transmissibility of a virus. However, there is a need to derive calculations on economic impacts from the COVID-19 case projections to arrive at a conclusion on the optimal frontier from the trade-off between health and economic losses. In Goldsztejn, Schwartzman and Nehorai ( 2020 ), an economic model that measures lost economic productivity due to the pandemic, disease containment measures and economic policies is integrated into an SEIR model. The hybrid model generates important insight on the trade-offs between short-term economic gains in terms of productivity, and the continuous spread of the disease, which in turn informs policymakers on the appropriate containment policies to be implemented.

This approach was further improved by solving an optimal control of multiple group SIR model to find the best way to implement a lockdown (Acemoglu et al., 2020 ). Noting the trade-offs between economic outcomes and spread of disease implied in lockdown policies, Acemoglu et al. ( 2020 ) find that targeted lockdown yields the best result in terms of economic losses and saving lives. However, Acemoglu et al. ( 2020 ) only determine the optimal lockdown policy and their trade-off analysis through COVID-associated fatalities. Kashyap et al. ( 2020 ) note that hospitalisations may be better indicators for lockdown and, as a corollary, reopening policies.

Gaps in the literature

With the recency of the pandemic, there is an increasing but limited scholarship in terms of jointly analysing the losses brought about by the pandemic on health and the economy. On top of this, the literature clearly has gaps in terms of having a trade-off model that captures the context of low- and middle-income countries. Devising a trade-off model for said countries is an imperative given the structural and capability differences of these countries from developed ones in terms of responding to the pandemic. Furthermore, the literature has not explicitly looked into the trade-off between economic losses and health-care system capacities, both at a national and a subnational level.

With this, the paper aims to fill these gaps with the following. Firstly, we extend FASSSTER’s subnational SEIR model to capture the associated economic losses given various lockdown scenarios at a regional level. Then, we construct an optimal policy decision trade-off between the health system and the economy in the Philippines’ case at a regional level. From there, we analyse the policy implications across the different regions given the results of the simulations.

The FASSSTER SEIR model

The FASSSTER model for COVID-19 uses a compartmental model to describe the dynamics of disease transmission in a community, and it is expressed as a system of ordinary differential equations (Estadilla et al., 2021 ):

where β  =  β 0 (1– λ ), \(\alpha _a = \frac{c}{\tau }\) , \(\alpha _s = \frac{{1 - c}}{\tau }\) , and N ( t ) =  S ( t ) =  E ( t ) +  I a ( t ) +  I s ( t ) +  C ( t ) +  R ( t ).

The six compartments used to divide the entire population, namely, susceptible ( S ), exposed ( E ), infectious but asymptomatic ( I a ), infectious and symptomatic ( I s ), confirmed ( C ), and recovered ( R ), indicate the status of the individuals in relation to the disease. Compartment S consists of individuals who have not been infected with COVID-19 but may acquire the disease once exposed to infectious individuals. Compartment E consists of individuals who have been infected, but not yet capable of transmitting the disease to others. The infectious members of the population are split into two compartments, I a and I s , based on the presence of disease symptoms. These individuals may eventually transition to compartment C once they have been detected, in which case they will be quarantined and receive treatment. The individuals in the C compartment are commonly referred to as active cases. Finally, recovered individuals who have tested negative or have undergone the required number of days in isolation will move out to the R compartment. Given that there had only been rare instances of reinfection (Gousseff et al., 2020 ), the FASSSTER model assumes that recovered individuals have developed immunity from the disease. A description of the model parameters can be found in Supplementary Table S1 .

The model has several nonnegative parameters that govern the movement of individuals along the different compartments. The parameter β represents the effective transmission rate, and it is expressed as a product of the disease transmission rate β 0 and reduction factor 1 −  λ . The rate β 0 is derived from an assumed reproduction number R 0 , which varies depending on the region. The parameter λ reflects the effect of mobility restrictions such as lockdowns and compliance of the members of the population to minimum health standards (such as social distancing, wearing of face masks etc.). In addition, the parameter ψ captures the relative infectiousness of asymptomatic individuals in relation to those who exhibit symptoms.

The incubation period τ and fraction of asymptomatic cases c are used to derive the transfer rates α α and α s from the exposed compartment to I a and I s compartments, respectively. Among those who are infectious and asymptomatic, a portion of them is considered pre-symptomatic, and hence will eventually develop symptoms of the disease; this is reflected in the parameter ω. The respective detection rates δ a and δ s of asymptomatic and symptomatic infectious individuals indicate the movement from the undetected infectious compartment to the confirmed compartment. These parameters capture the entire health system capacity to prevent-detect-isolate-treat-reintegrate (PDITR) COVID-19 cases; hence, they will henceforth be referred to as HSC parameters. The recoveries of infectious asymptomatic individuals and among the active cases occur at the corresponding rates θ and r . Death rates due to the disease, on the other hand, are given by ∈ I and ∈ T for the infectious symptomatic and confirmed cases, respectively.

Aside from the aforementioned parameters, the model also utilises parameters not associated with the COVID-19 disease, such as the recruitment rate A into the susceptible population. This parameter represents the birth rate of the population and is assumed to be constant. In addition, a natural death rate per unit of time is applied to all compartments in the model, incorporating the effect of non-COVID-19 related deaths in the entire population.

Economic dynamic model

The trade-off model aims to account for the incurred economic losses following the rise and fall of the number of COVID-19 cases in the country and the implementation of various lockdown measures. The model variables are estimated per day based on the SEIR model estimate of daily cases and are defined as follows. Let Y E ( t ) be the economic loss due to COVID-19 infections (hospitalisation, isolation, and death of infected individuals) and Y E ( t ) be the economic loss due to the implemented lockdown at time t . The dynamics of each economic variable through time is described by an ordinary differential equation. Since each equation depends only on the values of the state variables of the epidemiological model, then it is possible to obtain a closed form solution.

Economic loss due to COVID-19 infections (hospitalisation, isolation, and health)

The economic loss due to hospitalisation, isolation, and death Y E is described by the following differential equation:

where z  = annual gross value added of each worker (assumed constant for all future years and for all ages), w  = daily gross value added, ι i  = % population with ages 0–14 ( i  = 1), and labour force with ages 15–34 ( i  = 2), 35–49 ( i  = 3) and 50–64 ( i  = 4), s r  = social discount rate, κ  = employed to population ratio, T i  = average remaining productive years for people in age bracket i , i  = 1, 2, 3, 4, and T 5  = average age of deaths from 0–14 years old age group. Note that the above formulation assumes that the young population 0–14 years old will start working at age 15, and that they will work for T 1 −15 years.

Solving Eq. ( 7 ), we obtain for t  ≥ 0,

In this equation, the terms on the right-hand side are labelled as (A), (B), and (C). Term (A) is the present value of all future gross value added of 0–14 years old who died due to COVID-19 at time t . Similarly, term (B) is the present value of all future gross value added of people in the labour force who died due to COVID-19 at time t . Term (C) represents the total gross value added lost at time t due to sickness and isolation.

The discounting factors and the population age group shares in (A) and (B) can be simplified further into K 1 and K 2 , where \(K_1 = \iota _1\left( {\frac{{\left( {s_r + 1} \right)^{T_1 + T_5 - 13} - \left( {s_r + 1} \right)}}{{s_r\left( {s_r + 1} \right)^{T_1 + 1}}}} \right)\) and \(K_2 = \mathop {\sum}\nolimits_{i = 2}^4 {\iota _i\left( {\frac{{\left( {s_r + 1} \right)^{T_i + 2} - \left( {s_r + 1} \right)}}{{s_r\left( {s_r + 1} \right)^{T_i + 1}}}} \right)}\) . By letting L 1  = z( K 1  +  K 2 ) ∈ I  +  κw (1 –  ∈ I ) and L 2  = z( K 1  +  K 2 ) ∈ T  +  κw (1 –  ∈ T ), we have:

Economic losses due to lockdown policies

Equation ( 7 ) measures the losses due mainly to sickness and death from COVID-19. The values depend on the number of detected and undetected infected individuals, C and I s . The other losses sustained by the other part of the population are due to their inability to earn because of lockdown policies. This is what the next variable Y L represents, whose dynamics is given by the differential equation

where φ  = the displacement rate, and κ and w are as defined previously.

Solving the differential equation, then

Note that [ S ( t ) +  E ( t ) +  I a ( t ) +  R ( t )] is the rest of the population at time t , i.e., other than the active and infectious symptomatic cases. Multiplying this by κ and the displacement rate φ yields the number of employed people in this population who are displaced due to the lockdown policy. Thus, κwφ [ S ( t ) +  E ( t ) +  I a ( t ) +  R ( t )] is the total foregone income due to the lockdown policy.

Economic model parameters

The values of the parameters were derived from a variety of sources. The parameters for employment and gross value added were computed based on the data from the Philippine Statistics Authority ( 2021 , 2020 , 2019a , 2019b ), the Department of Health’s Epidemiology Bureau (DOH-EB) ( 2020 ), the Department of Trade and Industry (DTI) ( 2020a , 2020b ) and the National Economic Development Authority (NEDA) ( 2016 ) (See Supplementary Tables S2 and S3 for the summary of economic parameters).

Parameters determined from related literature

We used the number of deaths from the data of the DOH-EB ( 2020 ) to disaggregate the long-term economic costs of the COVID-related deaths into age groups. Specifically, the COVID-related deaths were divided according to the following age groups: (a) below 15 years old, (b) 15 to 34 years old, (c) 35 to 49 years old, and (d) 50 to 64 years old. The average remaining years for these groups were computed directly from the average age of death of the respective cluster. Finally, we used the social discount rate as determined by NEDA ( 2016 ) to get the present value of the stream of foregone incomes of those who died from the disease.

Parameters estimated from local data

The foregone value added due to labour displacement was estimated as the amount due to workers in a geographic area who were unable to work as a result of strict lockdown measures. It was expected to contribute to the total value added in a given year if the area they reside or work in has not been locked down.

The employed to population ratio κ i for each region i was computed as

where e i was total employment in region i , and Pi was the total population in the region. Both e i and Pi were obtained from the quarterly labour force survey and the census, respectively (Philippine Statistics Authority, 2020 , 2019a , 2019b ).

The annual gross value added per worker z i for region i was computed as

where g ji was the share of sector j in total gross value added of region i , GVA ji was the gross value added of sector j in region i (Philippine Statistics Authority, 2021 ), and e ji was the number of employed persons in sector j of region i . If individuals worked for an average of 22.5 days for each month for 12 months in a year, then the daily gross value added per worker in region i was given by

Apart from this, labour displacement rates were calculated at regional level. The rates are differentiated by economic reopening scenarios from March 2020 to September 2020, from October 2020 to February 2021, and from March 2021 onwards (Department of Trade and Industry, 2020a , 2020b , 2021 ). These were used to simulate the graduate reopening of the economy. From the country’s labour force survey, each representative observation j in a region i is designated with a numerical value in accordance with the percentage operating capacity of the sector where j works in. Given the probability weights p ji , the displacement rate φ i for region i was calculated by

where x ji served as the variable representing the maximum operating capacity designated for j ’s sector of work.

Policy trade-off model

The trade-off between economic losses and health measures gives the optimal policy subject to a socially determined constraint. From the literature, it was pointed out that the optimal policy option would be what minimises total economic losses subject to the number of deaths at a given time (Acemoglu et al., 2020 ). However, for the Philippines’ case, lockdown restrictions are decided based on the intensive care unit and health-care utilisation rate (HCUR). The health system is said to reach its critical levels if the HCUR breaches 70% of the total available bed capacity in intensive care units. Once breached, policymakers would opt to implement stricter quarantine measures.

Given these, a policy mix of various quarantine restrictions may be chosen for as long as it provides the lowest amount of economic losses subject to the constraint that the HCUR threshold is not breached. Since economic losses are adequately captured by the sum of infection-related and lockdown-related losses, Y E ( t ) +  Y L ( t ), then policy option must satisfy the constrained minimisation below:

where the objective function is evaluated from the initial time value t 0 to T .

The COVID-19 case information data including the date, location transformed into the Philippine Standard Geographic Code (PSGC), case count, and date reported were used as input to the model. Imputation using predictive mean matching uses the mice package in the R programming language. It was performed to address data gaps including the date of onset, date of specimen collection, date of admission, date of result, and date of recovery. Population data was obtained from the country’s Census of Population and Housing of 2015. The scripts to implement the FASSSTER SEIR model were developed using core packages in R including optimParallel for parameter estimation and deSolve for solving the ordinary differential equations. The output of the model is fitted to historical data by finding the best value of the parameter lambda using the L-BFGS-B method under the optim function and the MSE as measure of fitness (Byrd et al., 1995 ). The best value of lambda is obtained by performing parameter fitting with several bootstraps for each region, having at least 50 iterations until a correlation threshold of at least 90% is achieved. The output generated from the code execution contains values of the different compartments at each point in time. From these, the economic variables Y E ( t ) and Y L ( t ) were evaluated using the formulas in Eq. ( 7 ) and ( 8 ) in their simplified forms, and the parameter and displacement rate values corresponding to the implemented lockdown scenario (Fig. 1 ).

The different population states are represented by the compartments labelled as susceptible (S), exposed (E), infectious but asymptomatic ( I a ), infectious and symptomatic ( I s ), confirmed (C), and recovered (R).

We simulate the economic losses and health-care utilisation capacity (HCUR) for the National Capital Region (NCR), Ilocos Region, Western Visayas, Soccsksargen, and for the Davao Region by implementing various combinations of lockdown restrictions for three months to capture one quarter of economic losses for these regions. The National Capital Region accounts for about half of the Philippines’ gross domestic product, while the inclusion of other regions aim to represent the various areas of the country. The policy easing simulations use the four lockdown policies that the Philippines uses, as seen in Table 1 .

Simulations for the National Capital Region

Table 2 shows the sequence of lockdown measures implemented for the NCR. Each lockdown measure is assumed to be implemented for one month. Two sets of simulations are implemented for the region. The first set assumes a health systems capacity (HSC) for the region at 17.99% (A), while the second is at 21.93% (B). A higher HSC means an improvement in testing and isolation strategies for the regions of concern.

From the sequence of lockdown measures in Table 2 , Fig. 2 shows the plot of the average HCUR as well as the corresponding total economic losses for the two sets of simulations for one quarter. For the scenario at 17.99% HSC (A), the highest loss is recorded at 16.58% of the annual gross regional domestic product (GRDP) while the lowest loss is at 12.19% of its GRDP. Lower average HCUR corresponds to more stringent scenarios starting with Scenario 1. Furthermore, under the scenarios with 21.93% HSC (B), losses and average HCUR are generally lower. Scenarios 1 to 4 from this set lie below the 70% threshold of the HCUR, with the lowest economic loss simulated to be at 9.11% of the GRDP.

These include the set of trade-off decisions under a health system capacity equal to 17.99%, and another set equal to 21.93% (Source of basic data: Authors’ calculations).

Overall, the trend below shows a parabolic shape. The trend begins with an initial decrease in economic losses as restrictions loosen, but this comes at the expense of increasing HCUR. This is then followed by an increasing trend in losses as restrictions are further loosened. Notably, the subsequent marginal increases in losses in the simulation with 21.93% HSC are smaller relative to the marginal increases under the 17.99% HSC.

Simulations for the Regions Outside of NCR

Table 2 also shows the lockdown sequence for the Ilocos, Western Visayas, Soccsksargen, and Davao regions. The sequence begins with Level III only. Meanwhile, the lowest lockdown measure simulated for the regions is Level I. Two sets of simulations with differing health system capacities for each scenario are done as well.

With this lockdown sequence, Fig. 3 shows the panel of scatter plot between the average HCUR and total economic losses as percentage of the respective GRDP, with both parameters covering one quarter. Similar to the case of the NCR, the average HCUR for the simulations with higher health system capacity (B) is lower than the simulations with lower health system capacity (A). However, unlike in NCR, the regions’ simulations do not exhibit a parabolic shape.

These include trade-offs for a Ilocos Region, b Western Visayas Region, c Soccsksargen Region, and d Davao Region (Source of basic data: Authors’ calculations).

Discussion and interpretation

The hypothetical simulations above clearly capture the losses associated with the pandemic and the corresponding lockdown interventions by the Philippine government. The trend of the simulations clearly shows the differences in the policy considerations for the National Capital Region (NCR) and the four other regions outside of NCR. Specifically, the parabolic trend of the former suggests an optimal strategy that can be attained through a trade-off policy even with the absence of any constraint in finding the said optimal strategy. This trend is borne from the countervailing effects between the economic losses due to COVID-19 infection ( Y E ) and the losses from the lockdown measures ( Y L ) implemented for the region. Specifically, Fig. 4(a), (b) show the composition of economic losses across all scenarios for the NCR simulation under a lower and higher health system capacity (HSC), respectively.

These include losses under a HSC = 17.99% and b HSC = 21.93% in the National Capital Region (Source of basic data: Authors’ calculations).

In both panels of Fig. 4 , as quarantine measures loosen, economic losses from infections ( Y E ) tend to increase while the converse holds for economic losses due to quarantine restrictions ( Y L ). The results are intuitive as loosening restrictions may lead to increased mobility, and therefore increased exposure and infections from the virus. In fact, economic losses from infections ( Y E ) take up about half of the economic losses for the region in Scenario 7A, Fig. 4(a) .

While the same trends can be observed for the scenarios with higher HSC at 21.93%, the economic losses from infections ( Y E ) do not overtake the losses simulated from lockdown restrictions ( Y L ) as seen in Fig. 4(b) . This may explain the slower upward trend of economic losses in Fig. 2 at HSC = 21.93%.

The output of the simulation for the Davao region shows that the economic losses from COVID-19 infections ( Y E ) remain low even as the lockdown restrictions ease down. At the same time, economic losses from lockdown restrictions ( Y L ) show a steady decline with less stringent lockdown measures. Overall, the region experiences a decreasing trend in total economic losses even as the least stringent lockdown measure is implemented for a longer period. This pattern is similar with the regions of Ilocos, Western Visayas, and Soccsksarkgen.

The results of the simulations from Figs. 2 and 3 also demonstrate differing levels of economic losses and health-care utilisation between the two sets of scenarios for NCR and the four other regions. Clearly, lower economic losses and health-care utilisation rates were recorded for the scenarios with higher HSC. Specifically, lower total economic losses can be attributed to a slower marginal increase in losses from infections ( Y E ) as seen in Fig. 4(b) . Thus, even while easing restrictions, economic losses may be tempered with an improvement in the health system.

With the above analysis, the policy trade-off as a constrained minimisation problem of economic losses subject to HCUR above appears to apply in NCR but not in regions outside of NCR. The latter is better off in enhancing prevention, detection, isolation, treatment, and reintegration (PDITR) strategy combined with targeted small area lockdowns, if necessary, without risking any increases in economic losses. But, in all scenarios and anywhere, the enhancement of the HSC through improved PDITR strategies remains vital to avoid having to deal with local infection surges and outbreaks. This also avoids forcing local authorities in a policy bind between health and economic measures to implement. Enhancing PDITR in congested urban centres (i.e., NCR) is difficult especially with the surge in new daily cases. People are forced to defy social distance rules and other minimum health standards in public transportation and in their workplaces that help spread the virus.

We extended the FASSSTER subnational SEIR model to include two differential equations that capture economic losses due to COVID-19 infection and due to the lockdown measures, respectively. The extended model aims to account for the incurred economic losses following the rise and fall of the number of active COVID-19 cases in the country and the implementation of various lockdown measures. In simulating eight different scenarios in each of the five selected regions in the country, we found a tight policy choice in the case of the National Capital Region (NCR) but not in the cases of four other regions far from NCR. This clearly demonstrates the difficult policy decision in the case of NCR in minimising economic losses given the constraint of its intensive care unit (ICU) bed capacity.

On the other hand, the regions far from the NCR have wider policy space towards economic reopening and recovery. However, in all scenarios, the primary significance of improving the health system capacity (HSC) to detect and control the spread of the disease remains in order to widen the trade-off policy space between public health and economic measures.

The policy trade-off simulation results imply different policy approaches in each region. This is also to consider the archipelagic nature of the country and the simultaneous concentration of economic output and COVID-19 cases in NCR and contiguous provinces compared to the rest of the country. Each local region in the country merits exploration of different policy combinations in economic and health measures depending on the number of active COVID-19 cases, strategic importance of economic activities and output specific in the area, the geographic spread of the local population and their places of work, and considering local health system capacities. However, we would like to caution that the actual number of cases could diverge from the results of our simulations. This is because the parameters of the model must be updated regularly driven generally by the behaviour of the population and the likely presence of variants of COVID-19. Given the constant variability of COVID-19 data, we recommend a shorter period of model projections from one to two months at the most.

In summary, this paper showed how mathematical modelling can be used to inform policymakers on the economic impact of lockdown policies and make decisions among the available policy options, taking into consideration the economic and health trade-offs of these policies. The proposed methodology provides a tool for enhanced policy decisions in other countries during the COVID-19 pandemic or similar circumstances in the future.

Data availability

The raw datasets used in this study are publicly available at the Department of Health COVID-19 Tracker Website: https://doh.gov.ph/covid19tracker . Datasets will be made available upon request after completing request form and signing non-disclosure agreement. Code and scripts will be made available upon request after completing request form and signing non-disclosure agreement.

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Acknowledgements

We thank Dr. Geoffrey M. Ducanes, Associate Professor, Ateneo de Manila University Department of Economics, for giving us valuable comments in the course of developing the economic model, and Mr. Jerome Patrick D. Cruz, current Ph.D. student, Massachusetts Institute of Technology, for initiating and leading the economic team in FASSSTER in the beginning of the project for their pitches in improving the model. We also thank Mr. John Carlo Pangyarihan for typesetting the manuscript. The project is supported by the Philippine Council for Health Research and Development, United Nations Development Programme and the Epidemiology Bureau of the Department of Health.

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Joselito T. Sescon, Cymon Kayle Lubangco, Rolly Czar Joseph T. Castillo & Gerome M. Vedeja

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de Lara-Tuprio, E.P., Estuar, M.R.J.E., Sescon, J.T. et al. Economic losses from COVID-19 cases in the Philippines: a dynamic model of health and economic policy trade-offs. Humanit Soc Sci Commun 9 , 111 (2022). https://doi.org/10.1057/s41599-022-01125-4

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Filipino help-seeking for mental health problems and associated barriers and facilitators: a systematic review

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This systematic review aims to synthesise the evidence on behavioural and attitudinal patterns as well as barriers and enablers in Filipino formal help-seeking.

Using PRISMA framework, 15 studies conducted in 7 countries on Filipino help-seeking were appraised through narrative synthesis.

Filipinos across the world have general reluctance and unfavourable attitude towards formal help-seeking despite high rates of psychological distress. They prefer seeking help from close family and friends. Barriers cited by Filipinos living in the Philippines include financial constraints and inaccessibility of services, whereas overseas Filipinos were hampered by immigration status, lack of health insurance, language difficulty, experience of discrimination and lack of acculturation to host culture. Both groups were hindered by self and social stigma attached to mental disorder, and by concern for loss of face, sense of shame, and adherence to Asian values of conformity to norms where mental illness is considered unacceptable. Filipinos are also prevented from seeking help by their sense of resilience and self-reliance, but this is explored only in qualitative studies. They utilize special mental health care only as the last resort or when problems become severe. Other prominent facilitators include perception of distress, influence of social support, financial capacity and previous positive experience in formal help.

We confirmed the low utilization of mental health services among Filipinos regardless of their locations, with mental health stigma as primary barrier, while resilience and self-reliance as coping strategies were cited in qualitative studies. Social support and problem severity were cited as prominent facilitators.

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Introduction

Mental illness is the third most common disability in the Philippines. Around 6 million Filipinos are estimated to live with depression and/or anxiety, making the Philippines the country with the third highest rate of mental health problems in the Western Pacific Region [ 1 ]. Suicide rates are pegged at 3.2 per 100,000 population with numbers possibly higher due to underreporting or misclassification of suicide cases as ‘undetermined deaths’ [ 2 ]. Despite these figures, government spending on mental health is at 0.22% of total health expenditures with a lack of health professionals working in the mental health sector [ 1 , 3 ]. Elevated mental health problems also characterise ‘overseas Filipinos’, that is, Filipinos living abroad [ 4 ]. Indeed, 12% of Filipinos living in the US suffer from psychological distress [ 5 ], higher than the US prevalence rate of depression and anxiety [ 1 ]. Long periods of separation from their families and a different cultural background may make them more prone to acculturative stress, depression, anxiety, substance use and trauma especially those who are exposed to abuse, violence and discrimination whilst abroad [ 6 ].

One crucial barrier to achieving well-being and improved mental health among both ‘local’ and overseas Filipinos is their propensity to not seek psychological help [ 7 , 8 ]. Not only are help-seeking rates much lower than rates found in general US populations [ 9 ], they are also low compared to other minority Asian groups [ 10 ]. Yet, few studies have been published on Filipino psychological help-seeking either in the Philippines or among those overseas [ 11 ]. Most available studies have focused on such factors as stigma tolerance, loss of face and acculturation factors [ 12 , 13 ].

To date, no systematic review of studies on Filipino psychological help-seeking, both living in the Philippines and overseas, has been conducted. In 2014, Tuliao conducted a narrative review of the literature on Filipino mental health help-seeking in the US which provided a comprehensive treatise on cultural context of Filipino help-seeking behavior [ 11 ]. However, new studies have been published since which examine help-seeking in other country contexts, such as Norway, Iceland, Israel and Canada [ 6 , 14 , 15 , 16 ]. Alongside recent studies on local Filipinos, these new studies can provide basis for comparison of the local and overseas Filipinos [ 7 , 8 , 12 , 17 ].

This systematic review aims to critically appraise the evidence on behavioural and attitudinal patterns of psychological help-seeking among Filipinos in the Philippines and abroad and examine barriers and enablers of their help-seeking. While the majority of studies undertaken have been among Filipino migrants especially in the US where they needed to handle additional immigration challenges, studying help-seeking attitudes and behaviours of local Filipinos is important as this may inform those living abroad [ 10 , 13 , 18 ]. This review aims to: (1) examine the commonly reported help-seeking attitudes and behaviors among local and overseas Filipinos with mental health problems; and (2) expound on the most commonly reported barriers and facilitators that influence their help-seeking.

The review aims to synthesize available data on formal help-seeking behavior and attitudes of local and overseas Filipinos for their mental health problems, as well as commonly reported barriers and facilitators. Formal psychological help-seeking behavior is defined as seeking services and treatment, such as psychotherapy, counseling, information and advice, from trained and recognized mental health care providers [ 19 ]. Attitudes on psychological help-seeking refer to the evaluative beliefs in seeking help from these professional sources [ 20 ].

Eligibility criteria

Inclusion criteria for the studies were the following: (1) those that address either formal help-seeking behavior OR attitude related to a mental health AND those that discuss barriers OR facilitators of psychological help-seeking; (2) those that involve Filipino participants, or of Filipino descent; in studies that involve multi-cultural or multi-ethnic groups, they must have at least 20% Filipino participants with disaggregated data on Filipino psychological help-seeking; (3) those that employed any type of study designs, whether quantitative, qualitative or mixed-methods; (4) must be full-text peer-reviewed articles published in scholarly journals or book chapters, with no publication date restrictions; (5) written either in English or Filipino; and (6) available in printed or downloadable format. Multiple articles based on the same research are treated as one study/paper.

Exclusion criteria were: (1) studies in which the reported problems that prompted help-seeking are medical (e.g. cancer), career or vocational (e.g., career choice), academic (e.g., school difficulties) or developmental disorders (e.g., autism), unless specified that there is an associated mental health concern (e.g., anxiety, depression, trauma); (2) studies that discuss general health-seeking behaviors; (3) studies that are not from the perspective of mental health service users (e.g., counselor’s perspective); (4) systematic reviews, meta-analyses and other forms of literature review; and (5) unpublished studies including dissertations and theses, clinical reports, theory or methods papers, commentaries or editorials.

Search strategy and study selection

The search for relevant studies was conducted through electronic database searching, hand-searching and web-based searching. Ten bibliographic databases were searched in August to September 2018: PsychInfo, Global Health, MedLine, Embase, EBSCO , ProQuest , PubMed , Science Direct, Scopus and Emerald Insight. The following search terms were used: “help-seeking behavior” OR “utilization of mental health services” OR “access to mental health services” OR “psychological help-seeking” AND “barriers to help-seeking” OR “facilitators of help-seeking” AND “mental health” OR “mental health problem” OR “mental disorder” OR “mental illness” OR “psychological distress” OR “emotional problem” AND “Filipino” OR “Philippines”. Filters were used to select only publications from peer-reviewed journals. Internet searches through Google Scholar and websites of Philippine-based publications were also performed using the search term “Filipino mental health help-seeking” as well as hand-searching of reference lists of relevant studies. A total of 3038 records were obtained. Duplicates were removed and a total of 2659 records were screened for their relevance based on their titles and abstracts.

Preliminary screening of titles and abstracts of articles resulted in 162 potentially relevant studies, their full-text papers were obtained and were reviewed for eligibility by two reviewers (AM and MC). Divergent opinions on the results of eligibility screening were deliberated and any further disagreement was resolved by the third reviewer (JB). A total of 15 relevant studies (from 24 papers) published in English were included in the review and assessed for quality. There were seven studies with multiple publications (two of them have 3 papers) and a core paper was chosen on the basis of having more comprehensive key study data on formal help-seeking. Results of the literature search are reported in Fig.  1 using the PRISMA diagram [ 21 ]. A protocol for this review was registered at PROSPERO Registry of the Centre for Reviews and Dissemination of the University of York ( https://www.crd.york.ac.uk/PROSPERO ; ID: CRD42018102836).

PRISMA flow diagram

Data extraction and quality assessment

Data extracted by the main author were crosschecked by a second reviewer (JB). A data extraction table with thematic headings was prepared and pilot tested for two quantitative and two qualitative studies to check data comparability. Extraction was performed using the following descriptive data: (1) study information (e.g. name of authors, publication date, study location, setting, study design, measurement tools used); (2) socio-demographic characteristics of participants (e.g. sample size, age, gender); and (3) overarching themes on psychological help-seeking behavior and attitudes, as well as barriers and facilitators of help-seeking.

Two reviewers (AM and MC) did quality assessment of the studies separately, using the following criteria: (1) relevance to the research question; (2) transparency of the methods; (3) robustness of the evidence presented; and (4) soundness of the data interpretation and analysis. Design-specific quality assessment tools were used in the evaluation of risk of bias of the studies, namely: (1) Critical Appraisal Skills Programme Qualitative Checklist [ 22 ]; and (2) Quality Assessment Tool for Quantitative Studies by the Effective Public Health Practice Project [ 23 ]. The appraisals for mixed-methods studies were done separately for quantitative and qualitative components to ensure trustworthiness [ 24 ] of the quality of each assessment.

For studies reported in multiple publications, quality assessment was done only on the core papers [ 25 ]. All the papers ( n  = 6) assessed for their qualitative study design (including the 4 mixed-methods studies) met the minimum quality assessment criteria of fair ( n  = 1) and good ( n  = 5) and were, thus, included in the review. Only 11 out of the 13 quantitative studies (including the 4 mixed-methods studies) satisfied the minimum ratings for the review, with five getting strong quality rating. The two mixed-methods studies that did not meet the minimum quality rating for quantitative designs were excluded as sources of quantitative data but were used in the qualitative data analysis because they satisfied the minimum quality rating for qualitative designs.

Strategy for data analysis

Due to the substantial heterogeneity of the studies in terms of participant characteristics, study design, measurement tools used and reporting methods of the key findings, narrative synthesis approach was used in data analysis to interpret and integrate the quantitative and qualitative evidence [ 26 , 27 ]. However, one crucial methodological limitation of studies in this review is the lack of agreement on what constitutes formal help-seeking. Some researchers include the utilization of traditional or indigenous healers as formal help-seeking, while others limit the concept to professional health care providers. As such, consistent with Rickwood and Thomas’ definition of formal help-seeking [ 19 ], data extraction and analysis were done only on those that reported utilization of professional health care providers.

Using a textual approach, text data were coded using both predetermined and emerging codes [ 28 ]. They were then tabulated, analyzed, categorized into themes and integrated into a narrative synthesis [ 29 ]. Exemplar quotations and author interpretations were also used to support the narrative synthesis. The following were the themes on barriers and facilitators of formal help-seeking: (1) psychosocial barriers/facilitators, which include social support from family and friends, perceived severity of mental illness, awareness of mental health issues, self-stigmatizing beliefs, treatment fears and other individual concerns; (2) socio-cultural barriers/facilitators, which include the perceived social norms and beliefs on mental health, social stigma, influence of religious beliefs, and language and acculturation factors; and (3) systemic/structural and economic barriers/facilitators, which include financial or employment status, the health care system and its accessibility, availability and affordability, and ethnicity, nativity or immigration status.

Study and participant characteristics

The 15 studies were published between 2002 and 2018. Five studies were conducted in the US, four in the Philippines and one study each was done in Australia, Canada, Iceland, Israel and Norway. One study included participants working in different countries, the majority were in the Middle East. Data extracted from the four studies done in the Philippines were used to report on the help-seeking behaviors and attitudes, and barriers/facilitators to help-seeking of local Filipinos, while the ten studies conducted in different countries were used to report on help-seeking of overseas Filipinos. Nine studies were quantitative and used a cross-sectional design except for one cohort study; the majority of them used research-validated questionnaires. Four studies used mixed methods with surveys and open-ended questionnaires, and another two were purely qualitative studies that used interviews and focus group discussions. Only three studies recruited participants through random sampling and the rest used purposive sampling methods. All quantitative studies used questionnaires in measures of formal help-seeking behaviors, and western-standardized measures to assess participants’ attitudes towards help-seeking. Qualitative studies utilized semi-structured interview guides that were developed to explore the psychological help-seeking of participants.

A total of 5096 Filipinos aged 17–70 years participated in the studies. Additionally, 13 studies reported on the mean age of participants, with the computed overall mean age at 39.52 (SD 11.34). The sample sizes in the quantitative studies ranged from 70 to 2285, while qualitative studies ranged from 10 to 25 participants. Of the participants, 59% ( n  = 3012) were female which is probably explained by five studies focusing on Filipino women. Ten studies were conducted in community settings, five in health or social centre-based settings and 1 in a university (Table 1 ).

Formal help-seeking behaviors

12 studies examined the formal help-seeking behaviors of Filipinos (Table 2 ), eight of them were from community-based studies and four were from centre-based studies. Nine studies reported on formal help-seeking of overseas Filipinos and three reported on local Filipinos.

Community-based vs health/social centres Data from quantitative community studies show that the rates of formal help-seeking behaviors among the Filipino general population ranged from 2.2% [ 30 ] to 17.5% [ 6 ]. This was supported by reports from qualitative studies where participants did not seek help at all. The frequency of reports of formal help-seeking from studies conducted in crisis centres and online counseling tended to be higher. For instance, the rate of engagement in online counseling among overseas Filipinos was 10.68% [ 31 ], those receiving treatment in crisis centers was 39.32% [ 17 ] while 100% of participants who were victims of intimate partner violence were already receiving help from a women’s support agency [ 8 , 32 ].

Local vs overseas Filipinos’ formal help-seeking The rate of formal psychological help-seeking of local Filipinos was at 22.19% [ 12 ] while overseas rates were lower and ranged from 2.2% of Filipino Americans [ 30 ] to 17.5% of Filipinos in Israel [ 6 ]. Both local and overseas Filipinos indicated that professional help is sought only as a last resort because they were more inclined to get help from family and friends or lay network [ 7 , 16 ].

Attitudes towards formal help-seeking

13 studies reported on participants’ attitudes towards seeking formal help. Seven studies identified family and friends as preferred sources of help [ 7 , 14 , 16 ] rather than mental health specialists and other professionals even when they were already receiving help from them [ 17 , 32 ]. When Filipinos seek professional help, it is usually done in combination with other sources of care [ 13 ] or only used when the mental health problem is severe [ 14 , 16 , 33 ]. Other studies reported that in the absence of social networks, individuals prefer to rely on themselves [ 32 , 33 ].

Community-based vs health/social centres Community-based studies reported that Filipinos have negative attitudes marked by low stigma tolerance towards formal help-seeking [ 7 , 14 , 16 ]. However, different findings were reported by studies conducted in crisis centres. Hechanova et al. found a positive attitude towards help-seeking among users of online counseling [ 31 ], whereas Cabbigat and Kangas found that Filipinos in crisis centres still prefer receiving help from religious clergy or family members, with mental health units as the least preferred setting in receiving help [ 17 ]. This is supported by the findings of Shoultz and her colleagues who reported that Filipino women did not believe in disclosing their problems to others [ 32 ].

Local vs overseas Filipinos Filipinos, regardless of location, have negative attitudes towards help-seeking, except later-generation Filipino migrants who have been acculturated in their host countries and tended to have more positive attitudes towards mental health specialists [ 10 , 13 , 15 , 34 ]. However, this was only cited in quantitative studies. Qualitative studies reported the general reluctance of both overseas and local Filipinos to seek help.

Barriers in formal help-seeking

All 15 studies examined a range of barriers in psychological help-seeking (Table 3 ). The most commonly endorsed barriers were: (1) financial constraints due to high cost of service, lack of health insurance, or precarious employment condition; (2) self-stigma, with associated fear of negative judgment, sense of shame, embarrassment and being a disgrace, fear of being labeled as ‘crazy’, self-blame and concern for loss of face; and (3) social stigma that puts the family’s reputation at stake or places one’s cultural group in bad light.

Local vs overseas Filipinos In studies conducted among overseas Filipinos, strong adherence to Asian values of conformity to norms is an impediment to help-seeking but cited only in quantitative studies [ 10 , 13 , 15 , 34 ] while perceived resilience, coping ability or self-reliance was mentioned only in qualitative studies [ 14 , 16 , 33 ]. Other common barriers to help-seeking cited by overseas Filipinos were inaccessibility of mental health services, immigration status, sense of religiosity, language problem, experience of discrimination and lack of awareness of mental health needs [ 10 , 13 , 18 , 34 ]. Self-reliance and fear of being a burden to others as barriers were only found among overseas Filipinos [ 6 , 16 , 32 ]. On the other hand, local Filipinos have consistently cited the influence of social support as a hindrance to help-seeking [ 7 , 17 ].

Stigmatized attitude towards mental health and illness was reported as topmost barriers to help-seeking among overseas and local Filipinos. This included notions of mental illness as a sign of personal weakness or failure of character resulting to loss of face. There is a general consensus in these studies that the reluctance of Filipinos to seek professional help is mainly due to their fear of being labeled or judged negatively, or even their fear of fueling negative perceptions of the Filipino community. Other overseas Filipinos were afraid that having mental illness would affect their jobs and immigration status, especially for those who are in precarious employment conditions [ 6 , 16 ].

Facilitators of formal help-seeking

All 15 studies discussed facilitators of formal help-seeking, but the identified enablers were few (Table 4 ). Among the top and commonly cited factors that promote help-seeking are: (1) perceived severity of the mental health problem or awareness of mental health needs; (2) influence of social support, such as the presence/absence of family and friends, witnessing friends seeking help, having supportive friends and family who encourage help-seeking, or having others taking the initiative to help; and (3) financial capacity.

Local vs overseas Filipinos Studies on overseas Filipinos frequently cited financial capacity, immigration status, language proficiency, lower adherence to Asian values and stigma tolerance as enablers of help-seeking [ 15 , 30 , 32 , 34 ], while studies done on local Filipinos reported that awareness of mental health issues and previous positive experience of seeking help serve as facilitator [ 7 , 12 ].

Community-based vs health/social centres Those who were receiving help from crisis centres mentioned that previous positive experience with mental health professionals encouraged their formal help-seeking [ 8 , 17 , 31 ]. On the other hand, community-based studies cited the positive influence of encouraging family and friends as well as higher awareness of mental health problems as enablers of help-seeking [ 12 , 14 , 16 ].

To the best of our knowledge, this is the first systematic review conducted on psychological help-seeking among Filipinos, including its barriers and facilitators. The heterogeneity of participants (e.g., age, gender, socio-economic status, geographic location or residence, range of mental health problems) was large.

Filipino mental health help-seeking behavior and attitudes The rate of mental health problems appears to be high among Filipinos both local and overseas, but the rate of help-seeking is low. This is consistent with findings of a study among Chinese immigrants in Australia which reported higher psychological distress but with low utilization of mental health services [ 35 ]. The actual help-seeking behavior of both local and overseas Filipinos recorded at 10.72% ( n  = 461) is lower than the 19% of the general population in the US [ 36 ] and 16% in the United Kingdom (UK) [ 37 ], and even far below the global prevalence rate of 30% of people with mental illness receiving treatment [ 38 ]. This finding is also comparable with the low prevalence rate of mental health service use among the Chinese population in Hong Kong [ 39 ] and in Australia [ 35 ], Vietnamese immigrants in Canada [ 30 ], East Asian migrants in North America [ 41 ] and other ethnic minorities [ 42 ] but is in sharp contrast with the increased use of professional help among West African migrants in The Netherlands [ 43 ].

Most of the studies identified informal help through family and friends as the most widely utilized source of support, while professional service providers were only used as a last resort. Filipinos who are already accessing specialist services in crisis centres also used informal help to supplement professional help. This is consistent with reports on the frequent use of informal help in conjunction with formal help-seeking among the adult population in UK [ 44 ]. However, this pattern contrasts with informal help-seeking among African Americans who are less likely to seek help from social networks of family and friends [ 45 ]. Filipinos also tend to use their social networks of friends and family members as ‘go-between’ [ 46 ] for formal help, serving to intercede between mental health specialists and the individual. This was reiterated in a study by Shoultz et al. (2009) in which women who were victims of violence are reluctant to report the abuse to authorities but felt relieved if neighbours and friends would interfere for professional help in their behalf [ 32 ].

Different patterns of help-seeking among local and overseas Filipinos were evident and may be attributed to the differences in the health care system of the Philippines and their host countries. For instance, the greater use of general medical services by overseas Filipinos is due to the gatekeeper role of general practitioners (GP) in their host countries [ 47 ] where patients have to go through their GPs before they get access to mental health specialists. In contrast, local Filipinos have direct access to psychiatrists or psychologists without a GP referral. Additionally, those studies conducted in the Philippines were done in urban centers where participants have greater access to mental health specialists. While Filipinos generally are reluctant to seek help, later-generation overseas Filipinos have more positive attitudes towards psychological help-seeking. Their exposure and acculturation to cultures that are more tolerant of mental health stigma probably influenced their more favorable attitude [ 41 , 48 ].

Prominent barrier themes in help-seeking Findings of studies on frequently endorsed barriers in psychological help-seeking are consistent with commonly reported impediments to health care utilization among Filipino migrants in Australia [ 49 ] and Asian migrants in the US [ 47 , 50 ]. The same barriers in this review, such as preference for self-reliance as alternative coping strategy, poor mental health awareness, perceived stigma, are also identified in mental health help-seeking among adolescents and young adults [ 51 ] and among those suffering from depression [ 52 ].

Social and self-stigmatizing attitudes to mental illness are prominent barriers to help-seeking among Filipinos. Social stigma is evident in their fears of negative perception of the Filipino community, ruining the family reputation, or fear of social exclusion, discrimination and disapproval. Self-stigma manifests in their concern for loss of face, sense of shame or embarrassment, self-blame, sense of being a disgrace or being judged negatively and the notion that mental illness is a sign of personal weakness or failure of character [ 16 ]. The deterrent role of mental health stigma is consistent with the findings of other studies [ 51 , 52 ]. Overseas Filipinos who are not fully acculturated to the more stigma-tolerant culture of their host countries still hold these stigmatizing beliefs. There is also a general apprehension of becoming a burden to others.

Practical barriers to the use of mental health services like accessibility and financial constraints are also consistently rated as important barriers by Filipinos, similar to Chinese Americans [ 53 ]. In the Philippines where mental health services are costly and inaccessible [ 54 ], financial constraints serve as a hindrance to formal help-seeking, as mentioned by a participant in the study of Straiton and his colleagues, “In the Philippines… it takes really long time to decide for us that this condition is serious. We don’t want to use our money right away” [ 14 , p.6]. Local Filipinos are confronted with problems of lack of mental health facilities, services and professionals due to meager government spending on health. Despite the recent ratification of the Philippines’ Mental Health Act of 2018 and the Universal Health Care Act of 2019, the current coverage for mental health services provided by the Philippine Health Insurance Corporation only amounts to US$154 per hospitalization and only for acute episodes of mental disorders [ 55 ]. Specialist services for mental health in the Philippines are restricted in tertiary hospitals located in urban areas, with only one major mental hospital and 84 psychiatric units in general hospitals [ 1 ].

Overseas Filipinos cited the lack of health insurance and immigration status without health care privileges as financial barrier. In countries where people have access to universal health care, being employed is a barrier to psychological help-seeking because individuals prefer to work instead of attending medical check-ups or consultations [ 13 ]. Higher income is also associated with better mental health [ 56 ] and hence, the need for mental health services is low, whereas poor socio-economic status is related to greater risk of developing mental health problems [ 57 , 58 ]. Lack of familiarity with healthcare system in host countries among new Filipino migrants also discourages them from seeking help.

Studies have shown that reliance on, and accessibility of sympathetic, reliable and trusted family and friends are detrimental to formal help-seeking since professional help is sought only in the absence of this social support [ 6 , 8 ]. This is consistent with the predominating cultural values that govern Filipino interpersonal relationships called kapwa (or shared identity) in which trusted family and friends are considered as “hindi-ibang-tao” (one-of-us/insider), while doctors or professionals are seen as “ibang-tao” (outsider) [ 59 ]. Filipinos are apt to disclose and be more open and honest about their mental illness to those whom they considered as “hindi-ibang-tao” (insider) as against those who are “ibang-tao” (outsider), hence their preference for family members and close friends as source of informal help [ 59 ]. For Filipinos, it is difficult to trust a mental health specialist who is not part of the family [ 60 ].

Qualitative studies in this review frequently mentioned resilience and self-reliance among overseas Filipinos as barriers to help-seeking. As an adaptive coping strategy for adversity [ 61 ], overseas Filipinos believe that they were better equipped in overcoming emotional challenges of immigration [ 16 ] without professional assistance [ 14 ]. It supports the findings of studies on overseas Filipino domestic workers who attributed their sense of well-being despite stress to their sense of resilience which prevents them from developing mental health problems [ 62 ] and among Filipino disaster survivors who used their capacity to adapt as protective mechanism from experience of trauma [ 63 ]. However, self-reliant individuals also tend to hold stigmatizing beliefs on mental health and as such resort to handling problems on their own instead of seeking help [ 51 , 64 ].

Prominent facilitator themes in help-seeking In terms of enablers of psychological help-seeking, only a few facilitators were mentioned in the studies, which supported findings in other studies asserting that factors that promote help-seeking are less often emphasized [ 42 , 51 ].

Consistent with other studies [ 44 , 49 ], problem severity is predictive of intention to seek help from mental health providers [ 18 , 30 ] because Filipinos perceive that professional services are only warranted when symptoms have disabling effects [ 5 , 53 ]. As such, those who are experiencing heightened emotional distress were found to be receptive to intervention [ 17 ]. In most cases, symptom severity is determined only when somatic or behavioral symptoms manifest [ 13 ] or occupational dysfunction occurs late in the course of the mental illness [ 65 ]. This is most likely due to the initial denial of the problem [ 66 ] or attempts at maintaining normalcy of the situation as an important coping mechanism [ 67 ]. Furthermore, this poses as a hindrance to any attempts at early intervention because Filipinos are likely to seek professional help only when the problem is severe or has somatic manifestations. It also indicates the lack of preventive measure to avert any deterioration in mental health and well-being.

More positive attitudes towards help-seeking and higher rates of mental health care utilization have been found among later-generation Filipino immigrants or those who have acquired residency status in their host country [ 10 , 15 ]. Immigration status and length of stay in the host country are also associated with language proficiency, higher acculturation and familiarity with the host culture that are more open to discussing mental health issues [ 13 ], which present fewer barriers in help-seeking. This is consistent with facilitators of formal help-seeking among other ethnic minorities, such as acculturation, social integration and positive attitude towards mental health [ 43 ].

Cultural context of Filipinos’ reluctance to seek help Several explanations have been proposed to account for the general reluctance of Filipinos to seek psychological help. In Filipino culture, mental illness is attributed to superstitious or supernatural causes, such as God’s will, witchcraft, and sorcery [ 68 , 69 ], which contradict the biopsychosocial model used by mental health care professionals. Within this cultural context, Filipinos prefer to seek help from traditional folk healers who are using religious rituals in their healing process instead of availing the services of professionals [ 70 , 71 ]. This was reaffirmed by participants in the study of Thompson and her colleagues who said that “psychiatrists are not a way to deal with emotional problems” [ 74 , p.685]. The common misconception on the cause and nature of mental illness, seeing it as temporary due to cold weather [ 14 ] or as a failure in character and as an individual responsibility to overcome [ 16 , 72 ] also discourages Filipinos from seeking help.

Synthesis of the studies included in the review also found conflicting findings on various cultural and psychosocial influences that served both as enablers and deterrents to Filipino help-seeking, namely: (1) level of spirituality; (2) concern on loss of face or sense of shame; and (3) presence of social support.

Level of spirituality Higher spirituality or greater religious beliefs have disparate roles in Filipino psychological help-seeking. Some studies [ 8 , 14 , 16 ] consider it a hindrance to formal help-seeking, whereas others [ 10 , 15 ] asserted that it can facilitate the utilization of mental health services [ 15 , 73 ]. Being predominantly Catholics, Filipinos had drawn strength from their religious faith to endure difficult situations and challenges, accordingly ‘leaving everything to God’ [ 74 ] which explains their preference for clergy as sources of help instead of professional mental health providers. This is connected with the Filipino attribution of mental illness to spiritual or religious causes [ 62 ] mentioned earlier. On the contrary, Hermansdottir and Aegisdottir argued that there is a positive link between spirituality and help-seeking, and cited connectedness with host culture as mediating factor [ 15 ]. Alternately, because higher spirituality and religiosity are predictors of greater sense of well-being [ 75 ], there is, thus, a decreased need for mental health services.

Concern on loss of face or sense of shame The enabler/deterrent role of higher concern on loss of face and sense of shame on psychological help-seeking was also identified. The majority of studies in this review asserted the deterrent role of loss of face and stigma consistent with the findings of other studies [ 51 ], although Clement et al. stated that stigma is the fourth barrier in deterring help-seeking [ 76 ]. Mental illness is highly stigmatized in the Philippines and to avoid the derogatory label of ‘crazy’, Filipinos tend to conceal their mental illness and consequently avoid seeking professional help. This is aligned with the Filipino value of hiya (sense of propriety) which considers any deviation from socially acceptable behavior as a source of shame [ 11 ]. The stigmatized belief is reinforced by the notion that formal help-seeking is not the way to deal with emotional problems, as reflected in the response of a Filipino participant in the study by Straiton et. al., “It has not occurred to me to see a doctor for that kind of feeling” [ 14 , p.6]. However, other studies in this review [ 12 , 13 ] posited contrary views that lower stigma tolerance and higher concern for loss of face could also motivate psychological help-seeking for individuals who want to avoid embarrassing their family. As such, stigma tolerance and loss of face may have a more nuanced influence on help-seeking depending on whether the individual avoids the stigma by not seeking help or prevent the stigma by actively seeking help.

Presence of social support The contradictory role of social networks either as helpful or unhelpful in formal help-seeking was also noted in this review. The presence of friends and family can discourage Filipinos from seeking professional help because their social support serves as protective factor that buffer one’s experience of distress [ 77 , 78 ]. Consequently, individuals are less likely to use professional services [ 42 , 79 ]. On the contrary, other studies have found that the presence of friends and family who have positive attitudes towards formal help-seeking can promote the utilization of mental health services [ 8 , 80 ]. Friends who sought formal help and, thus, serve as role models [ 14 ], and those who take the initiative in seeking help for the distressed individual [ 32 ] also encourage such behavior. Thus, the positive influence of friends and family on mental health and formal help-seeking of Filipinos is not merely to serve only as emotional buffer for stress, but to also favourably influence the decision of the individual to seek formal help.

Research implications of findings

This review highlights particular evidence gaps that need further research: (1) operationalization of help-seeking behavior as a construct separating intention and attitude; (2) studies on actual help-seeking behavior among local and overseas Filipinos with identified mental health problems; (3) longitudinal study on intervention effectiveness and best practices; (4) studies that triangulate findings of qualitative studies with quantitative studies on the role of resilience and self-reliance in help-seeking; and (5) factors that promote help-seeking.

Some studies in this review reported help-seeking intention or attitude as actual behaviors even though they are separate constructs, hence leading to reporting biases and misinterpretations. For instance, the conflicting findings of Tuliao et al. [ 12 ] on the negative association of loss of face with help-seeking attitude and the positive association between loss of face and intention to seek help demonstrate that attitudes and intentions are separate constructs and, thus, need further operationalization. Future research should strive to operationalize concretely these terms through the use of robust measurement tools and systematic reporting of results. There is also a lack of data on the actual help-seeking behaviors among Filipinos with mental illness as most of the reports were from the general population and on their help-seeking attitudes and intentions. Thus, research should focus on those with mental health problems and their actual utilization of healthcare services to gain a better understanding of how specific factors prevent or promote formal help-seeking behaviors.

Moreover, the majority of the studies in this review were descriptive cross-sectional studies, with only one cohort analytic study. Future research should consider a longitudinal study design to ensure a more rigorous and conclusive findings especially on testing the effectiveness of interventions and documenting best practices. Because of the lack of quantitative research that could triangulate the findings of several qualitative studies on the detrimental role of resilience and self-reliance, quantitative studies using pathway analysis may help identify how these barriers affect help-seeking. A preponderance of studies also focused on discussing the roles of barriers in help-seeking, but less is known about the facilitators of help-seeking. For this reason, factors that promote help-seeking should be systematically investigated.

Practice, service delivery and policy implications

Findings of this review also indicate several implications for practice, service delivery, intervention and policy. Cultural nuances that underlie help-seeking behavior of Filipinos, such as the relational orientation of their interactions [ 81 ], should inform the design of culturally appropriate interventions for mental health and well-being and improving access and utilization of health services. Interventions aimed at improving psychological help-seeking should also target friends and family as potential and significant influencers in changing help-seeking attitude and behavior. They may be encouraged to help the individual to seek help from the mental health professional. Other approaches include psychoeducation that promotes mental health literacy and reduces stigma which could be undertaken both as preventive and treatment strategies because of their positive influence on help-seeking. Strategies to reduce self-reliance may also be helpful in encouraging help-seeking.

This review also has implications for structural changes to overcome economic and other practical barriers in Filipino seeking help for mental health problems. Newly enacted laws on mental health and universal healthcare in the Philippines may jumpstart significant policy changes, including increased expenditure for mental health treatment.

Since lack of awareness of available services was also identified as significant barrier, overseas Filipinos could be given competency training in utilizing the health care system of host countries, possibly together with other migrants and ethnic minorities. Philippine consular agencies in foreign countries should not merely only resort to repatriation acts, but could also take an active role in service delivery especially for overseas Filipinos who experience trauma and/or may have immigration-related constraints that hamper their access to specialist care.

Limitations of findings

A crucial limitation of studies in this review is the use of different standardized measures of help-seeking that render incomparable results. These measures were western-based inventories, and only three studies mentioned using cultural validation, such as forward-and-back-translations, to adapt them to cross-cultural research on Filipino participants. This may pose as a limitation on the cultural appropriateness and applicability of foreign-made tests [ 73 ] in capturing the true essence of Filipino experience and perspectives [ 74 ]. Additionally, the majority of the studies used non-probability sampling that limits the generalizability of results. They also failed to measure the type of assistance or actual support sought by Filipinos, such as psychoeducation, referral services, supportive counseling or psychotherapy, and whether or not they are effective in addressing mental health concerns of Filipinos. Another inherent limitation of this review is the lack of access to grey literature, such as thesis and dissertations published in other countries, or those published in the Philippines and are not available online. A number of studies on multi-ethnic studies with Filipino participants do not provide disaggregated data, which limits the scope and inclusion of studies in this review.

This review has confirmed the low utilization of mental health services among Filipinos regardless of their locations, with mental health stigma as a primary barrier resilience and self-reliance as coping strategies were also cited, especially in qualitative studies, but may be important in addressing issues of non-utilization of mental health services. Social support and problem severity were cited as prominent facilitators in help-seeking. However, different structural, cultural and practical barriers and facilitators of psychological help-seeking between overseas and local Filipinos were also found.

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Martinez, A.B., Co, M., Lau, J. et al. Filipino help-seeking for mental health problems and associated barriers and facilitators: a systematic review. Soc Psychiatry Psychiatr Epidemiol 55 , 1397–1413 (2020). https://doi.org/10.1007/s00127-020-01937-2

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Provides a general country guide on the Philippines.

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The Department of Agrarian Reform is the lead implementing agency of the Comprehensive Agrarian Reform Program (CARP). It undertakes land tenure improvement and development of program beneficiaries. DAR conducts land surveys in resettlement areas. It undertakes land acquisition and distribution, and land management studies. The DAR also orchestrates the delivery of support services to farmer-beneficiaries and promotes the development of viable agrarian reform communities.

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Scholarspace is a centralized repository of information, or digital library, for the Center for Philippine Studies at the University of Hawaii at Manoa. It “stores and maintains scholarly information in digital format. This repository will provide a home for the increasing amount of digital scholarly output that is being created by the University of Hawaii at Manoa (UHM) community. It captures, indexes, stores, makes searchable, disseminates, and preserves digital materials and provides these services for as long as they are needed.

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This University of Texas at Austin collection contains various maps of Philippines, including country maps, city maps, thematic maps, regional maps, detailed maps, and historical maps

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The Philippine Elections web archive documents the Philippine general elections of 2010 and 2019.

The Asian Division's Southeast Asian Rare Book Collection counts among its most unique items a collection of 71 bamboo slats and 6 cylinders from the island of Mindoro in the Philippines. These items are etched with either verses or prose in the Mangyan script.

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Humanities Diliman promotes scholarship in the arts and humanities in the Philippines, as well as international synergies, especially with scholars of Southeast Asian studies.

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An expanding collection of academic journals hosted by C&E Publishing, Inc.

The Philippine Journal of Systematic Biology publishes research and reviews in English in the field of Taxonomy & Systematics, Ecology and Conservation Biology, specifically information on animal, plant and microbial diversity in the Philippines.

PJAHS covers: human biomechanics, exercise physiology, physical activity in pediatrics and geriatrics, ergonomics, physiologic profiling of athletes, sports injury monitoring and clinical practice patterns in the allied health sciences.

RMRJ publishes research covering: Accountancy, Business and Management, and Finance; Communication, Humanities, Psychology, and Religion; Education and Educational Management; Engineering, Mathematics, Statistics, and Technology; Environment, Health and Natural Sciences; Philosophical and Mathematical Reviews; and Politics and Governance, and Social Sciences.

The Review of Socio-Economic Research and Development Studies (ReSERDS) publishes research in socio-economics and development studies in the Philippines, particularly in the Visayas region. Topics covered include: Agricultural Economics, Behavioral Economics, Bioeconomics, Business Management, Climate Change, Communication, Development Economics, Disaster Risk Management, Development Studies, Energy Policy, Ecological Economics, Education Research, Entrepreneurship, Finance and Marketing, Food Security and Nutrition, Gender Studies, Governance, Land Management, Natural Resource Management, Peace and International Relations, Policy Studies, Rural and Urban Studies, Tourism and Hospitality Management.

Social Science Diliman: A Philippine Journal of Society and Change (SSD) is the flagship journal for the social sciences of the University of the Philippines Diliman. SSD publishes research and book reviews on the social sciences and its applications in English and Filipino.

Social Transformations analyzes social movements, development paradigms, policies, and socio-political interventions in the Global South. The journal employs interdisciplinary methodologies to produce reflexive theorizing and commentary on contemporary social change in countries once associated with the Third World. It favors contextualized and embedded studies of interventions such as community-initiated outcome models and organized grassroots movements. Such studies trace the interrelations, both state and non-state, between various peoples and movements, while acknowledging the tensions and contradictions within the Global South.

The survey provides data on the number of overseas Filipinos and their socioeconomic characteristics.

Research Papers

Big Data for a Climate Disaster-Resilient Country, Philippines Ebinezer R. Florano

A Veto Players Analysis of Subnational Territorial Reform in Indonesia Michael A. Tumanut

The Politics of Municipal Merger in the Philippines Michael A. Tumanut

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Management of Social Media for Disaster Risk Reduction and Mitigation in Philippine Local Government Units Erwin A. Alamapy, Maricris Delos Santos, and Xavier Venn Asuncion

An Assessment of the Impact of GAD Programs on the Retention Intentions of Female Uniformed Personnel of the Philippine Navy Michelle C. Castillo

Contextualizing Inclusive Business: Amelioration of ASEAN Economic Community Arman V. Cruz

The impact of mobile financial services in low- and lower middle-income countries Erwin A. Alampay, Goodiel Charles Moshi, Ishita Ghosh, Mina Lyn C. Peralta and Juliana Harshanti

How Cities Are Promoting Clean Energy and Dealing with Problems Along the Way Rizalino B. Cruz Impact Assessment Methods: Toward Institutional Impact Assessment Romeo B. Ocampo

Philippine Technocracy and Politico-administrative Realities During the Martial Law Period (1972–1986): Decentralization, Local governance and Autonomy Concerns of Prescient Technocrats Alex B. Brillantes, Jr. and Abigail Modino

Policy Reforms to Improve the Quality of Public Services in the Philippines Maria Fe Villamejor-Mendoza

Compliance with, and Effective Implementation of Multilateral Environmental Agreements: Looking Back at the Transboundary Haze Pollution Problem in the ASEAN Region Ebinezer R. Florano, Ph.D.

ASEAN, Food Security, and Land Rights: Enlarging a Democratic Space for Public Services in the ASEAN Maria Faina L. Diola, DPA

Public Finance in the ASEAN: Trend and Patterns Jocelyn C. Cuaresma, DPA

Private Sector Engagement in Climate Change Mitigation and Adaptation: Implications in Regional Governance Maria Fe Villamejor-Mendoza , Ph.D.

Philippine Response to Curb Human Trafficking of Migrant Workers Lizan Perante-Calina

Local Heritage Networking for ASEAN Connectivity Salvacion Manuel-Arlante

Financing Universal Healthcare and the ASEAN: Focus on the Philippine Sin Tax Law Abigail A. Modino

Decentralized Local Governance in Asian Region:Good Practices of Mandaluyong City, Philippines Rose Gay E. Gonzales- Castaneda

Disaster-Resilient Community Index: Measuring the Resiliency of Barangays in Tacloban, Iligan, Dagupan and Marikina Ebinezer R. Florano , Ph.D.

Towards Attaining the Vision “Pasig Green City”: Thinking Strategically, Acting Democratically Ebinezer R. Florano , Ph.D.

Community Governance for Disaster Recovery and Resilience: Four Case Studies in the Philippines  Ebinezer R. Florano , Ph.D.

Mainstreaming Integrated Climate Change Adaptation and Disaster Risk Reduction in Local development Plans in the Philippines Ebinezer R. Florano , Ph.D. 

Building Back a Better Nation: Disaster Rehabilitation and Recovery in the Philippines Ebinezer R. Florano , Ph.D.  and Joe-Mar S. Perez

The New Public Management Then and Now: Lessons from the Transition in Central and Eastern Europe Wolfgang Drechsler and Tiina Randma-Liiv

Optimizing ICT Budgets through eGovernment Projects Harmonization Erwin A. Alampay

ICT Sector Performance Review for Philippines Erwin A. Alampay

The Challenges to the Futures of Public Administration Education Maria Fe Villamejor-Mendoza

Enhancing Trust and Performance in the Philippine Public Enterprises: A Revisit of Recent Reforms and Transformations Maria Fe Villamejor-Mendoza

The Legal Framework for the Philippine Third Sector: Progressive or Regressive? Ma. Oliva Z. Domingo

Roles of Community and Communal Law in Disaster Management in the Philippines: The Case of Dagupan City Ebinezer R. Florano

Revisiting Meritocracy in Asian Settings: Dimensions of colonial Influences and Indigenous Traditions Danilo R. Reyes

The openness of the University of the Philippines Open University: Issues and Prospects Maria Fe Villamejor-Mendoza

Equity and Fairness in Public-Private Partnerships: The Case of Airport Infrastructure Development in the Philippines Maria Fe Villamejor- Mendoza

Restoring Trust and Building Integrity in Government: Issues and Concerns in the Philippines and Areas for Reform Alex B. Brillantes, Jr. and Maricel T. Fernandez

Competition in Electricity Markets: The Case of the Philippines  Maria Fe Villamejor-Mendoza

Economic Reforms for Philippine Competitiveness, UP Open University Maria Fe Villamejor-Mendoza and G.H. Ambat (Eds) 

Open Access to Educational Resources: The Wave of the Future? Maria Fe Villamejor-Mendoza

Climate Change Governance in the Philippines and Means of Implementation diagram Ebinezer R. Florano

Mobile 2.0: M-money for the BoP in the Philippines Erwin A. Alampay and Gemma Bala

When Social Networking Websites Meet Mobile Commerce Erwin A. Alampay 

Monitoring Employee Use of the Internet in Philippine Organizations Erwin A. Alampay 

Living the Information Society Erwin A. Alampay

Analysing Socio-Demographic Differences in the Access & Use of ICTs in the Philippines Using the Capability Approach, Electronic Journal of Information Systems in Developing Countries Erwin A. Alampay

Measuring Capabilities in the Information Society Erwin A. Alampay

Modes of Learning and Performance Among U.P. Open University Graduates, Electronic Journal of Information Systems in Developing Countries Victoria A. Bautista and Ma. Anna T. Quimbo

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Efficacy of Cerebrolysin as Treatment on the Histological Outcomes and Functional Recovery in Sprague Dawley Rats with Closed Head Injury – an Study
R Santiago, RJ Garcia, and R Orata

] [24-178]
Potent Bioactivity of Bacteriocin-producing Lab Strains against Multi-drug Resistant Pathogens Isolated from Dairy Cattle with Clinical Mastitis
A Ancuelo and R Perez

] [24-177]
Molecular Detection and First Report of (Dinophyceae, Alveolata) in a Tropical River-Estuary System
KH Alonzo and A Lluisma

] [24-175]
Mechanical Properties, Calorific Value, and Proximate and Thermal Analysis of Briquettes Made from Palm Oil Shell and LDPE with Varying Amounts of Adhesive
YK Dalimunthe, Widayani, and ID Aditya

] [24-120]
Microplastics in the Road Dust of Iligan City, the Philippines
JB Tejano, E Eleccion, M Laya-og, CD Palasol, C Pimentel, FL Dagoc, R Romarate II, KN Araña, and H Bacosa

] [24-196]
Overview of Phytochemistry and Pharmacological Activity of the Leaves of
P Singh, U Kaushik, and D Sharma

] [24-247]
New Geographical Records of Two Freshwater Sordariomycetes, (Fuscosporellales) and (Savoryellales) [Research Note]
TA Lopez, JFE Bagacay, and M Calabon

] [24-131]
DNA Barcoding of Eleven Endemic Species of the Philippines Based on RBCL, MATK, and Its Sequences
C Almontero, A Lalusin, MG Diaz , ET Ocampo, R Gentallan Jr., and S Rojas

] [24-192]
Association between Height and Blood Pressure among Filipino Adults Based on the Philippine National Nutrition Survey
MS Parani, C Patalen, ML Maniego, C Iranzo, ML Dasco, and C Duante

] [24-142]
Purification and Characterization of Linamarase from Lakan-1 and Java Variety Cassava ( Crantz)
GT Cuevas, V Topor, and W Medrocillo

] [24-008]
Species Richness, Elevational Distribution, and Conservation Status of Ferns and Lycophytes in Mts. Palay-Palay Mataas-na-Gulod Protected Landscape, Luzon Island, the Philippines
K de Villa and R Lagat

] [23-503]
Effects of Dietary Protein Changes and Methionine Supplementation on the Gene Expression of Amino Acid Transporters and in the Intestine of Nile Tilapia
J Roperos and ZG Orozco-Bautista

] [24-248]
Influence of Roasting Process on the Chemical Profile of Lam. Tea
K Delica-Balagot, HG Halasan, CM Martinez, KW Balagot, E Kamantigue, F Samiano, and R Lapuz

] [24-203]
Essential Oil of Eucalyptus as Modifier of Carbon Paste Electrode for Voltammetric Determination of Lead Ions
M Ilagan, KW Balagot, JR Micor, and E Mojica

] [24-246]
Antimicrobial Efficacy of A. Gray (Jade Vine) Stem Extract
R Maning, LK Tarrayo, AA Alarcon, G Admirable, CD Dollano, and CE Paraoan

] [24-159]
Efficacy of Select Insecticides against Corn Planthopper, [Ashmead] (Hemiptera: Delphacidae)
G Duza, A Agravante, J Gado, and K Alviar

] [24-202]
Morphological, Anatomical Characteristics, and Preliminary Phytochemistry of
DT Phan-Thi, TV Pham, NT Nguyen, NN Trinh, TN Phan-Thi, N Nguyen-Phi, TT Tran-Thi, and HT Van

] [24-215]
Identification of Median Lethal Dose (LD₅₀) and Shoot and Root Growth Reduction (GR₅₀) Dose in Four Rice Varieties Irradiated with Cobalt-60
G Faustino, EJ Habana, K Malabanan-Bauan, AM Magnaye, IJ Madrid-Savariz, PI Lopez, D Abonitalla, T Borromeo, and MI Calayugan

] [24-240]
Genome Assembly and Pangenome Analysis of sp. Ulap 01 Isolated from a Copper Mine Tailing Environment
MM Enriquez, DP Untiveros, MT Tengco, LR Sanchez, and E Cao

] [24-171]
Fiber Morphology of Solid Bamboo [ (Roxb.) Nees] and Iron Bamboo ( Kunt.) Grown in the Philippines: the Influence of Locality, Axial Height, and Presence of Node
O Marasigan, MA Mundin, S Daguinod, and E Domingo

] [24-107]
Organic Vermicide for Safer Management of Giant Earthworms in the Ifugao Rice Terraces, the Philippines
N Taguiling

] [24-225]
Extensions to the Su-Schrieffer-Heeger Model: Ribbons and Their Topological Properties
DP Dasallas and E Cuansing

V ol. 153 No. 6A ( December 2024 Issue Part A )

] [24-154] Length/Width-Weight Relationship of Herre, 1927 and Evaluation of the Morphometric Variations among its Colormorphs in Lake Mainit, Northeastern Mindanao, the Philippines J Jumawan, A Abucayon, A Libot, JJ Ruales, and J Bantilan

] [24-051] Taxonomic Review and Delimitation of Species Boundaries of Dejean (Coleoptera: Scarabaeidae: Melolonthinae: Leucopholini) Associated with L. (Areca Nut) in South India K Prakash, H Yeshwanth, S Lakshminarayanan, JV Cabusas, B Caoili, and O Calcetas

] [24-145] Earthworm Species Diversity across an Elevational Gradient in Mt. Sawtooth and Its Neighboring Highlands in the Zambales Mountain Range, the Philippines EJ Angeles and C Española

] [24-312] Association among Maternal Knowledge, Complementary Feeding Practices, and Dietary Fat Content of Complementary Foods in Children with Down Syndrome 6–23 Months [Research Note] S Alforte, H Superal, CD Esteban, and CL Bayaga

] [24-279] Species Composition of Understory Flowering Plants in the Permanent Plot of Balinsasayao Twin Lakes Natural Park, Negros Oriental, the Philippines N Mendez, F Coritico, MM Guiang, F Acma, MC Salolog, and V Amoroso

] [24-278] Evaluation of Selected Philippine Germplasm for Resistance to Rice Stem Borer ( spp.) Using Seven Morphological Traits J Viz and I Pacada

] [24-204] Occupational Hazard of Seaweed Farming in Sorsogon, the Philippines [Research Note] R Dumilag, F Calaminos, MA Malto, I Capacio, A Malto, SR Tagal, EJ Pacudan, MV Salansang, R Olipany, C Mintu, ML Aguirre, JP Gerardo, and CF Ruiz

] [24-116] Agroforestry Field Laboratory: a Potential Carbon Storage and Sequestration of Claveria, Misamis Oriental, the Philippines [Research Note] R Palma

] [24-245] Postprocessing Technique for Algorithmically Composed Melodies B Celestial and P Fernandez Jr.

V ol. 153 No. S1 ( 2024 Special Issue on Nuclear Science and Technology )

] [23-244N] Frederick C. Hila, Cheri Anne M. Dingle, Alvie A. Astronomo, John Jerome G. Mataac, and Eduardo R. Magdaluyo Jr.

] [23-267N] Applicability and Assessment of CIC, CF:CS, and CRS Age Dating Models to Sediment Cores in Sorsogon Bay, Philippines [Retracted by Authors] J Ramirez, E Sta. Maria, and A Bautista VII

] [23-275N] Eric M. Inocencio, Alvie Asuncion-Astronomo, Charlotte Balderas, Rafael Miguel dela Cruz, Cheri Anne M. Dingle, Marianna Lourdes Marie L. Grande, and Roland Christopher F. Caballar

] [23-182N] Mon Bryan Z. Gili and Julius Federico M. Jecong

] [23-265N] Ronald E. Piquero, Angelo A. Panlaqui, Vinz Michael C. Calija, and Felix Anthony F. dela Cruz

] [23-266N] Portable Method for the Rapid Detection of Honey Adulterated with C4 Sugar Using Handheld X-ray Fluorescence Spectrometry (hXRF) and Machine Learning [Research Note] MM Bauyon, JP Bolivar, RA Magtaas, AJ Yu, KL Solis, NB Bautista, J Baroga-Barbecho, C Cervancia, and A Bautista VII

] [23-163N] Christopher C. Cabusora, Nenita V. Desamero, Martha V. Chico, Henry T. Ticman, Josielyn C. Bagarra, Gelyn D. Valida, RJ D. Buluran, Raña Mae A. Sumabat, and Marie Antoinette R. Orbase

] [23-171N] C Deocaris, EJ Acuña, A Paton-og, J Talamisan, L Alvarez, A Bautista, JC Bonifacio, and M Alinsug

] [23-295N] Roland V. Rallos, Kristine Samoy-Pascual, Arjay P. Sabasaje, Wilfredo A. Gultiano, Evangeline B. Sibayan, and Constancio A. Asis

] [23-256N] Geochemical Characterization and Reprocessing Potential Assessment of Legacy Copper Mine Tailings in Benguet, Philippines [Retracted by Authors] A Tanciongco, J Samaniego, CR Gibaga, RN Quierrez, JH Gervasio, A Bautista VII, and C Arcilla

] [23-253N] Ray Matthew A. Bunquin and Ronald E. Piquero

] [23-339N] Assessment of the Particle Integrity of Gamma-irradiated Iron Oxide (Fe₃O₄) Nanoparticles after Sterilization SG Tagona, RC Cruzpero, and MJ de Luna

] [23-218N] KM Sta. Rita, A Turla, M Endriga, J Agapito, and C Deocaris

] [23-255N] Jaspreet Sanghu, Kristine Marie R. Dean, Marianna Lourdes Marie L. Grande, Angelo A. Panlaqui, and Bayani San Juan

] [23-208N] M Alinsug and C Deocaris

] [23-263N] Roland V. Rallos, Botvinnik L. Palattao, Gerald P. Dicen, and John Leonard R. Labides

] [23-332N] Radiation Exposures of Workers in the Philippines: 10-year Profile and Its Impact Occupational Radiation Protection KM Romallosa Dean, C Pineda, J Carvina Guillermo, RC Cera, and R Luspo

] [23-246N] CD Racadio, R Sucgang, N Mendoza, and JM Racho

] [23-284N] JA Luna, PJ Cabalar, BJ Barba, GE Lopez, CG Causapin, L Abad, and J Madrid

] [23-260N] MLM Grande, A Panlaqui, ME Villacora, JR Amparado, C Pineda, and KM Romallosa Dean

] [23-327N] A Panlaqui, KM Romallosa Dean, MLM Grande, AAN Garalde, R Piquero, R Dacoco, ME Villacora, JR Amparado, and JC Guillermo

] [23-235N] JV Santos

] [23-488N] R Olivares, A Asuncion-Astronomo, E Gregorio, DB Mangulabnan, RM dela Cruz, and J Marquez

] [23-236N] Carbon and Nitrogen Isotopic Survey of Flora of Mt. Pangasugan in Leyte, the Philippines AC Labides, A Baldos, R Rallos, and D Peque

] [24-157N] CK Labador, MB Gili, and R Tumlos

Publisher: Department of Science and Technology

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Today's Outlook

	by DOST-PAGASA
	by DOST-PHIVOLCS
	Nationwide Operational Assessment of Hazards
	The Climate Experiment: Predicting Rainfall for the Philippines

Vol. 153 No. 3, June 2024

Philippine journal of science vol. 153 no. 3, june 2024, insights on evaluating commercially important macroinvertebrate species in danjugan island marine reserve, philippines, marine turtle identification, sightings, and nesting area mapping in batanes province, the philippines, coral health and benthic composition of reefs in an mpa and open-access site in western calatagan, batangas, observation of the asian turtle tick amblyomma geoemydae cantor, 1847 (acari: ixodidae) on the asian leaf turtle cyclemys dentata gray, 1831 in coron island, philippines.