ArticleEpidemiology and infection2019
Lag effect of climatic variables on dengue burden in India.
Article in Epidemiology and infection, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 3 of them syntheses that pooled it.
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Who cites it
39 citing papers in PubMed, 3 syntheses or guidelines 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
- Effects of high temperatures and heatwaves on dengue fever: a systematic review and meta-analysis.EBioMedicine · 2023Pooled it
- A Retrospective Study of Climate Change Affecting Dengue: Evidences, Challenges and Future Directions.Frontiers in public health · 2022Pooled it
- Climate variability and dengue incidence in southern Ecuador: an ecological analysis in two contrasting climatic settings (2019-2024).BMC infectious diseases · 2026Article
- Spatio-temporal distribution of dengue cases and vectors along with the interrelationship of environmental and climatic factors in the metropolitan city, Kolkata, India, for 2017-2022: calling implications for vector control.Emerging microbes & infections · 2025Article
- The Indian Ocean Dipole drives imported-dominated dengue outbreaks in China: Mechanisms and predictions.PNAS nexus · 2025Article
- The Correlation Between Three Teleconnections and Dengue Incidence in the Western Province of Sri Lanka, 2005-2019.GeoHealth · 2025Article
- Mechanistic Modeling ofGeoHealth · 2025Article
- Impact of urban heat island effect on dengue incidence: a remote sensing approach using thermal and high-resolution optical imagery.BMC public health · 2025Article
- Effects of El Niño and the Positive Indian Ocean Dipole (+IOD) on Health, Food Security, Economics, and Conflict in Low- and Middle-Income Countries in the Indo-Pacific: A Systematic Review.Campbell systematic reviews · 2025Review
- Assessing the influencing factors of dengue fever in Chinese mainland based on causal analysis.Scientific reports · 2025Article
- Assessing dengue forecasting methods: a comparative study of statistical models and machine learning techniques in Rio de Janeiro, Brazil.Tropical medicine and health · 2025Article
- ARBOALVO: A Bayesian spatiotemporal learning and predictive model for dengue cases in the endemic Northeast city of Natal, Rio Grande do Norte, Brazil.PLoS neglected tropical diseases · 2025Article
- Dengue dynamics, predictions, and future increase under changing monsoon climate in India.Scientific reports · 2025Article
- Time series analysis of dengue incidence and its association with meteorological risk factors in Bangladesh.PloS one · 2025Article
- Bayesian spatio-temporal analysis of dengue transmission in Lao PDR.Scientific reports · 2024Article
- Article
- Geographic information system-aided evaluation of epidemiological trends of dengue serotypes in West Bengal, India.The Indian journal of medical research · 2024Article
- Article
- Mapping African Swine Fever and Highly Pathogenic Avian Influenza Outbreaks along the Demilitarized Zone in the Korean Peninsula.Transboundary and emerging diseases · 2024Article
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7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dengue is a widespread vector-borne disease believed to affect between 100 and 390 million people every year. The interaction between vector, host and pathogen is influenced by various climatic factors and the relationship between dengue and climatic conditions has been poorly explored in India. This study explores the relationship between El Niño Southern Oscillation (ENSO), the Indian Ocean Dipole (IOD) and dengue cases in India. Additionally, distributed lag non-linear model was used to assess the delayed effects of climatic factors on dengue cases. The weekly dengue cases reported by the Integrated Disease Surveillance Program (IDSP) over India during the period 2010-2017 were analysed. The study shows that dengue cases usually follow a seasonal pattern, with most cases reported in August and September. Both temperature and rainfall were positively associated with the number of dengue cases. The precipitation shows the higher transmission risk of dengue was observed between 8 and 15 weeks of lag. The highest relative risk (RR) of dengue was observed at 60 mm rainfall with a 12-week lag period when compared with 40 and 80 mm rainfall. The RR of dengue tends to increase with increasing mean temperature above 24 °C. The largest transmission risk of dengue was observed at 30 °C with a 0-3 weeks of lag. Similarly, the transmission risk increases more than twofold when the minimum temperature reaches 26 °C with a 2-week lag period. The dengue cases and El Niño were positively correlated with a 3-6 months lag period. The significant correlation observed between the IOD and dengue cases was shown for a 0-2 months lag period.
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