Evidence map›Paper›PMID 42189923›Full record

ArticlePLoS neglected tropical diseases2026

The impact of elevation and population density on dengue incidence and force of infection across the Philippines: Implications for climate-adapted surveillance.

Ava Kristy Sy, Joseph Biggs, Shahida K Chowdhury, Mary Ann Quinones, Ferdinand V Salazar, William Jones-Warner, James Ashall, Ma Nemia L Sucaldito, Eva Cutiongco-de la Paz, Maria Rosario Z Capeding and 4 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Ava Kristy SyDepartment of Virology, Research Institute for Tropical Medicine, Manila, Philippines.
Joseph BiggsInternational Statistics and Epidemiology Group, Department of Infectious Disease Epidemiology and International Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0001-7273-874X
Shahida K ChowdhuryInternational Statistics and Epidemiology Group, Department of Infectious Disease Epidemiology and International Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Mary Ann QuinonesDepartment of Virology, Research Institute for Tropical Medicine, Manila, Philippines.
Ferdinand V SalazarDepartment of Medical Entomology, Research Institute for Tropical Medicine, Manila, Philippines.
William Jones-WarnerDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
James AshallDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Ma Nemia L SucalditoPhilippine Epidemiology Bureau, Department of Health, Manila, Philippines.
Eva Cutiongco-de la PazInstitute of Human Genetics, National Institute of Health, University of the Philippines, Manila, Philippines.
Maria Rosario Z CapedingClinical Trial Unit, Tropical Disease Foundation Inc., Makati, Philippines.
Carmencita D PadillaInstitute of Human Genetics, National Institute of Health, University of the Philippines, Manila, Philippines.
Sharon Y A M VillanuevaDepartment of Medical Microbiology, College of Public Health, University of the Philippines, Manila, Philippines.
Martin L HibberdDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Julius Clemence R HafallaDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change is accelerating the geographical expansion of Aedes mosquito vectors, facilitating the emergence of arboviral diseases such as dengue in new regions. However, there is limited understanding of how environmental factors, such as temperature and population density, differentially influence key metrics of dengue transmission. This study investigates how elevation (a proxy for temperature) and population density affect dengue incidence and force of infection (FOI), both independently and dependently, across the Philippines, with implications for climate-adapted surveillance and control. We conducted a nationwide, cross-sectional survey across the Philippines (2013-2019), combining national dengue case data (N = 1,112,317) with antibody IgG seroprevalence data from a representative sample (N = 22,270). Dengue FOI (the predicted rate at which individuals become exposed to DENV annually) and incidence were estimated across elevation and population density strata using catalytic models. Regression analyses were used to assess interactions between geographic factors and the dengue FOI. Elevation and population density were associated with FOI, but not with reported dengue incidence, which varied unpredictably over space and time. Urban, low-elevation barangays had the highest FOI (13.2%), while rural and urban, high-elevation areas had lower FOI (<7.7%). These patterns held across years, island groups, and regions. A statistical interaction between elevation and population density on the dengue FOI improved model fit (p < 0.0053) and revealed population density is a driver of transmission intensity in low lying areas (<1200m) but not in high elevation areas (>1200m). Dengue burden in the Philippines is highest in low-lying, urban areas and significantly lower in high-elevation zones, irrespective of population density, where cooler temperatures prevail. FOI is a more reliable metric than incidence for understanding transmission dynamics and guiding interventions. Our findings highlight the need for geographically tailored control strategies, particularly as climate change alters environmental and demographic conditions.

Indexed as

AltitudeDenguePopulation DensityAedesAnimalsClimateClimate ChangeCross-Sectional StudiesDengue VirusFemaleHumansIncidenceMaleMosquito VectorsPhilippinesSeroepidemiologic Studies

Identifiers

PMID42189923
PMCPMC13229340

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.