ArticleBMC public health2024
Long-term effects of climate factors on dengue fever over a 40-year period.
Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Quantitative modelling for dengue and Aedes mosquitoes in Africa: A systematic review of current approaches and future directions for Early Warning System development.PLoS neglected tropical diseases · 2024Pooled it
- Climate Informed Dengue Prediction and Future Risk Under a Changing Monsoon Climate in Kerala, India.GeoHealth · 2026Article
- A socio-hydro-epidemiological model for simulating trade-off between dengue infections, water shortages, and adaptive behavior.iScience · 2026Article
- Clinical and laboratory characteristics associated with liver failure in hospitalized dengue patients: insights from a non-endemic region.BMC infectious diseases · 2026Article
- Bridging the Gaps in Dengue Control in Latin America: Multisectoral Strategies from an Expert Panel.Vaccines · 2026Review
- Climate variability and dengue incidence in southern Ecuador: an ecological analysis in two contrasting climatic settings (2019-2024).BMC infectious diseases · 2026Article
- Spatiotemporal Epidemiological Characteristics of Dengue Fever and Its Relationship with Meteorological Factors - Yunnan Province, China, 2012-2024.China CDC weekly · 2026Article
- Application of a Temporal Fusion Transformer and Long-Term Climate and Disease Data to Assess the Predictive Power and Understand the Drivers for Malaria and Dengue.International journal of environmental research and public health · 2026Article
- Proactive Initiative to Establish a Dengue-Free Factory Assessment Framework in Dengue High-Risk Industrial Areas: A Narrative Review.Interdisciplinary perspectives on infectious diseases · 2026Review
- Explainable artificial intelligence for predicting dengue outbreaks in Bangladesh using eco-climatic triggers.Global epidemiology · 2025Article
- The Impact of Extreme Weather on Dengue Fever in Guangzhou, China: A Zero-Inflated Negative Binomial Spatial Lag Analysis.GeoHealth · 2025Article
- Environmental Determinants of Dengue Fever: A Re-Emerging Threat in the Middle East.Health science reports · 2025Article
- The global, regional, and national burden trends of dengue among adults aged 20-49 from 1990 to 2021.Scientific reports · 2025Article
- Epidemiological Trends and Age-Period-Cohort Effects on Dengue Incidence Across High-Risk Regions from 1992 to 2021.Tropical medicine and infectious disease · 2025Article
- Integrating meteorological data and hybrid intelligent models for dengue fever prediction.BMC public health · 2025Article
- Article
- Epidemiological Dynamics and Trends of Dengue Outbreaks in Sao Tome and Principe: A Comprehensive Retrospective Analysis (2022-2024).Tropical medicine and infectious disease · 2025Article
- Analysing dengue fever spread in Kenya using the Zero-Inflated Poisson model.Journal of public health in Africa · 2025Article
- Dengue Envelope Protein as a Cytotoxic Factor Inducing Hemorrhage and Endothelial Cell Death in Mice.International journal of molecular sciences · 2024Article
- Review
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3 authors.
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Abstract
backgroundDengue fever stands as one of the most extensively disseminated mosquito-borne infectious diseases worldwide. While numerous studies have investigated its influencing factors, a gap remains in long-term analysis, impeding the identification of temporal patterns, periodicity in transmission, and the development of effective prevention and control strategies. Thus, we aim to analyze the periodicity of dengue fever incidence and explore the association between various climate factors and the disease over an extended time series.
methodsBy utilizing monthly dengue fever cases and climate data spanning four decades (1978-2018) in Guangdong province, China, we employed wavelet analysis to detect dengue fever periodicity and analyze the time-lag relationship with climate factors. Additionally, Geodetector q statistic was employed to quantify the explanatory power of each climate factor and assess interaction effects.
resultsOur findings revealed a prolonged transmission period of dengue fever over the 40-year period, transitioning from August to November in the 1970s to nearly year-round in the 2010s. Moreover, we observed lags of 1.5, 3.5, and 3 months between dengue fever and temperature, relative humidity, and precipitation, respectively. The explanatory power of precipitation, temperature, relative humidity, and the Oceanic Niño Index (ONI) on dengue fever was determined to be 18.19%, 12.04%, 11.37%, and 5.17%, respectively. Dengue fever exhibited susceptibility to various climate factors, with notable nonlinear enhancement arising from the interaction of any two variables. Notably, the interaction between precipitation and humidity yielded the most significant effect, accounting for an explanatory power of 75.32%.
conclusionsConsequently, future prevention and control strategies for dengue fever should take into account these climate changes and formulate corresponding measures accordingly. In regions experiencing the onset of high temperatures, humidity, and precipitation, it is imperative to initiate mosquito prevention and control measures within a specific window period of 1.5 months.
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