ArticleProceedings of the National Academy of Sciences of the United States of America2017
Climate variation drives dengue dynamics.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers, 2 of them syntheses that pooled it.
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Who cites it
110 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Building evidences in Public Health Emergency Preparedness ("BePHEP" Project)-a systematic review.International journal for equity in health · 2025Pooled it
- Projecting the future of dengue under climate change scenarios: Progress, uncertainties and research needs.PLoS neglected tropical diseases · 2020Pooled it
- Rethinking Dengue Preparedness in the Era of Climate Change, Urbanisation, and Digital Health: A Structured Narrative Review.Medicina (Kaunas, Lithuania) · 2026Review
- AI-based prediction of dengue incidence using climatic, environmental, and socio-demographic factors: an ensemble random forest approach with agile system development.BMC infectious diseases · 2026Article
- Evolution and Functional Implications of Codon Usage Bias in Eukaryotes.Journal of molecular evolution · 2026Review
- Spatial representativeness matters for Climate-Driven Dengue Forecasting.PLoS neglected tropical diseases · 2026Article
- Climatic and Microenvironmental Variables Associated with the Abundance of Aedes aegypti and Aedes albopictus (Diptera: Culicidae) in a Subtropical Region of Argentina.Neotropical entomology · 2026Article
- Meteorological drivers and short-term prediction of dengue fever in a tropical region of China: evidence from Hainan Province.Frontiers in public health · 2026Article
- Markov switching zero-inflated space-time multinomial models for comparing multiple infectious diseases.Biostatistics (Oxford, England) · 2025Article
- The Indian Ocean Dipole drives imported-dominated dengue outbreaks in China: Mechanisms and predictions.PNAS nexus · 2025Article
- The Impact of Extreme Weather on Dengue Fever in Guangzhou, China: A Zero-Inflated Negative Binomial Spatial Lag Analysis.GeoHealth · 2025Article
- Dengue situation in Chinese mainland, 2023.BMC public health · 2025Article
- Annual global dengue dynamics are related to multi-source factors revealed by a machine learning prediction analysis.PLoS neglected tropical diseases · 2025Article
- A novel approach to quantify the optimal range and causal effect of rainfall on vector-borne diseases: a case study of dengue epidemics.Journal of the Royal Society, Interface · 2025Article
- Dengue Early Warning System and Outbreak Prediction Tool in Bangladesh Using Interpretable Tree-Based Machine Learning Model.Health science reports · 2025Article
- Influence of air pollution and climate variability on dengue in Singapore: a time-series analysis.Scientific reports · 2025Article
- Unraveling varying spatiotemporal patterns of Dengue Fever and associated exposure-response relationships with environmental variables in three Southeast Asian countries before and during COVID-19.PLoS neglected tropical diseases · 2025Article
- An analysis of rodent density patterns and its spatial-temporal correlations using geographically and temporally weighted regression in southeastern China.Frontiers in veterinary science · 2025Article
- Short-term effects of combined environmental factors on respiratory disease mortality in Qingdao city: A time-series investigation.PloS one · 2025Article
- Genomic variants and molecular epidemiological characteristics of dengue virus in China revealed by genome-wide analysis.Virus evolution · 2025Article
50 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dengue, a viral infection transmitted between people by mosquitoes, is one of the most rapidly spreading diseases in the world. Here, we report the analyses covering 11 y (2005-2015) from the city of Guangzhou in southern China. Using the first 8 y of data to develop an ecologically based model for the dengue system, we reliably predict the following 3 y of dengue dynamics-years with exceptionally extensive dengue outbreaks. We demonstrate that climate conditions, through the effects of rainfall and temperature on mosquito abundance and dengue transmission rate, play key roles in explaining the temporal dynamics of dengue incidence in the human population. Our study thus contributes to a better understanding of dengue dynamics and provides a predictive tool for preventive dengue reduction strategies.
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