ArticleInternational journal of health geographics2020
Influence of socio-economic, demographic and climate factors on the regional distribution of dengue in the United States and Mexico.
Article in International journal of health geographics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.
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Who cites it
22 citing papers in PubMed, 3 syntheses or guidelines 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
- Socioeconomic status as a determinant of survival in glioblastoma: a systematic review and meta-analysis.Neurosurgical review · 2025Pooled it
- Spatial connectivity in mosquito-borne disease models: a systematic review of methods and assumptions.Journal of the Royal Society, Interface · 2021Pooled it
- Regional and Temporal Dynamics of Dengue in Mexico (2020-2024): A Comprehensive Epidemiological Analysis.Reviews in medical virology · 2026Review
- Community participation and operational lessons from implementing a protective coating as a novel vector control tool in dengue-endemic neighborhoods of Cúcuta and Los Patios, Colombia.BMC public health · 2026Article
- Machine learning reveals temperature as a key predictor of dengue risk across Thailand's provinces: A 20-year analysis.PLoS neglected tropical diseases · 2026Article
- Epidemiological Characteristics of Dengue Disease in Mexico (2014-2025): A Descriptive Analysis of a Hyperendemic Country.Pathogens (Basel, Switzerland) · 2026Review
- Innovative application of a traffic-prediction spatio-temporal graph convolutional network for dengue disease forecasting.Scientific reports · 2026Article
- Variations in annual dengue intensities are explained by temperature anomalies.medRxiv : the preprint server for health sciences · 2025Article
- An explainable covariate compartmental model for predicting the spatio-temporal patterns of dengue in Sri Lanka.PLoS computational biology · 2025Article
- Introduction, establishment, and distribution ofLancet regional health. Americas · 2025Article
- Annual global dengue dynamics are related to multi-source factors revealed by a machine learning prediction analysis.PLoS neglected tropical diseases · 2025Article
- Mapping environmental suitability changes for arbovirus mosquitoes in Southeast Asia: 1960-2020.iScience · 2024Article
- Forecasting and mapping dengue fever epidemics in China: a spatiotemporal analysis.Infectious diseases of poverty · 2024Article
- Geographically weighted regression analysis for nonnegative continuous outcomes: An application to Taiwan dengue data.PloS one · 2024Article
- Projecting temperature-related dengue burden in the Philippines under various socioeconomic pathway scenarios.Frontiers in public health · 2024Article
- Socio-economic factors and its influence on the association between temperature and dengue incidence in 61 Provinces of the Philippines, 2010-2019.PLoS neglected tropical diseases · 2023Observational
- Associations between Dengue Incidence, Ecological Factors, and Anthropogenic Factors in Singapore.Viruses · 2023Article
- Knowledge, attitude and practice (KAP) and risk factors on dengue fever among children in Brazil, Fortaleza: A cross-sectional study.PLoS neglected tropical diseases · 2023Article
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5 authors.
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Abstract
backgroundThis study examines the impact of climate, socio-economic and demographic factors on the incidence of dengue in regions of the United States and Mexico. We select factors shown to predict dengue at a local level and test whether the association can be generalized to the regional or state level. In addition, we assess how different indicators perform compared to per capita gross domestic product (GDP), an indicator that is commonly used to predict the future distribution of dengue.
methodsA unique spatial-temporal dataset was created by collating information from a variety of data sources to perform empirical analyses at the regional level. Relevant regions for the analysis were selected based on their receptivity and vulnerability to dengue. A conceptual framework was elaborated to guide variable selection. The relationship between the incidence of dengue and the climate, socio-economic and demographic factors was modelled via a Generalized Additive Model (GAM), which also accounted for the spatial and temporal auto-correlation.
resultsThe socio-economic indicator (representing household income, education of the labour force, life expectancy at birth, and housing overcrowding), as well as more extensive access to broadband are associated with a drop in the incidence of dengue; by contrast, population growth and inter-regional migration are associated with higher incidence, after taking climate into account. An ageing population is also a predictor of higher incidence, but the relationship is concave and flattens at high rates. The rate of active physicians is associated with higher incidence, most likely because of more accurate reporting. If focusing on Mexico only, results remain broadly similar, however, workforce education was a better predictor of a drop in the incidence of dengue than household income.
conclusionsTwo lessons can be drawn from this study: first, while higher GDP is generally associated with a drop in the incidence of dengue, a more granular analysis reveals that the crucial factors are a rise in education (with fewer jobs in the primary sector) and better access to information or technological infrastructure. Secondly, factors that were shown to have an impact of dengue at the local level are also good predictors at the regional level. These indices may help us better understand factors responsible for the global distribution of dengue and also, given a warming climate, may help us to better predict vulnerable populations on a larger scale.
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