Observational studyPLoS neglected tropical diseases2023
Socio-economic factors and its influence on the association between temperature and dengue incidence in 61 Provinces of the Philippines, 2010-2019.
Observational study in PLoS neglected tropical diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Beyond the Mosquito: Social Determinants of Health and Global Strategies for Aedes-Borne Disease Control.Tropical medicine & international health : TM & IH · 2026Pooled it
- Assessing the impact of intervention strategies on dengue dynamics in Shenzhen, China.PLoS neglected tropical diseases · 2026Article
- Assessing the association between floods and dengue incidence in Vietnam: A time series study.Environmental epidemiology (Philadelphia, Pa.) · 2026Article
- Association of Climatic Factors with Frequency of Dengue.Infectious disease reports · 2026Article
- Climate and socioeconomic factors drive heterogeneous dengue risk escalation in the Chinese population.Communications medicine · 2026Article
- Understanding the social determinants of Aedes-borne diseases in Iran: A qualitative exploration of challenges and policy solutions.PLoS neglected tropical diseases · 2025Article
- Current and Future Spatial Distribution of theInsects · 2025Article
- Assessing the influencing factors of dengue fever in Chinese mainland based on causal analysis.Scientific reports · 2025Article
- Spatiotemporal dataset of dengue influencing factors in Brazil based on geospatial big data cloud computing.Scientific data · 2025Article
- Projection of dengue fever transmissibility under climate change in South and Southeast Asian countries.PLoS neglected tropical diseases · 2024Article
- Projecting temperature-related dengue burden in the Philippines under various socioeconomic pathway scenarios.Frontiers in public health · 2024Article
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3 authors.
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Abstract
backgroundTemperature has a significant impact on dengue incidence, however, changes on the temperature-dengue relationship across axes of socio-economic vulnerability is not well described. This study sought to determine the association between dengue and temperature in multiple locations in the Philippines and explore the effect modification by socio-economic factors.
methodNationwide dengue cases per province from 2010 to 2019 and data on temperature were obtained from the Philippines' Department of Health-Epidemiological Bureau and ERA5-land, respectively. A generalized additive mixed model (GAMM) with a distributed lag non-linear model was utilized to examine the association between temperature and dengue incidence. We further implemented an interaction analysis in determining how socio-economic factors modify the association. All analyses were implemented using R programming.
resultsNationwide temperature-dengue risk function was noted to depict an inverted U-shaped pattern. Dengue risk increased linearly alongside increasing mean temperature from 15.8 degrees Celsius and peaking at 27.5 degrees Celsius before declining. However, province-specific analyses revealed significant heterogeneity. Socio-economic factors had varying impact on the temperature-dengue association. Provinces with high population density, less people in urban areas with larger household size, high poverty incidence, higher health spending per capita, and in lower latitudes were noted to exhibit statistically higher dengue risk compared to their counterparts at the upper temperature range.
conclusionsThis observational study found that temperature was associated with dengue incidence, and that this association is more apparent in locations with high population density, less people in urban areas with larger household size, high poverty incidence, higher health spending per capita, and in lower latitudes. Differences with socio-economic conditions is linked with dengue risk. This highlights the need to develop interventions tailor-fit to local conditions.
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