ArticlePLoS currents2015
Estimating drivers of autochthonous transmission of chikungunya virus in its invasion of the americas.
Article in PLoS currents, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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Who cites it
46 citing papers in PubMed.
- Epidemic features and potential impact of vaccine campaigns on the 2025 chikungunya outbreak in southern China: a mathematical modelling study.New microbes and new infections · 2026Article
- Predictability of infectious disease outbreak severity: Chikungunya as a case study.Science advances · 2025Article
- Modeling Intraday Aedes-human exposure dynamics enhances dengue risk prediction.Scientific reports · 2025Article
- Comparing the Performance of Three Models Incorporating Weather Data to Forecast Dengue Epidemics in Reunion Island, 2018-2019.The Journal of infectious diseases · 2024Article
- Epidemiological and genomic investigation of chikungunya virus in Rio de Janeiro state, Brazil, between 2015 and 2018.PLoS neglected tropical diseases · 2023Article
- Climate Change Drives the Transmission and Spread of Vector-Borne Diseases: An Ecological Perspective.Biology · 2022Article
- Chikungunya virus (CHIKV) seroprevalence in the South Pacific populations of the Cook Islands and Vanuatu with associated environmental and social factors.PLoS neglected tropical diseases · 2022Article
- Trade-offs between individual and ensemble forecasts of an emerging infectious disease.Nature communications · 2021Article
- Assessing the suitability for Aedes albopictus and dengue transmission risk in China with a delay differential equation model.PLoS neglected tropical diseases · 2021Article
- Estimating incidence of infection from diverse data sources: Zika virus in Puerto Rico, 2016.PLoS computational biology · 2021Article
- Megacities as drivers of national outbreaks: The 2017 chikungunya outbreak in Dhaka, Bangladesh.PLoS neglected tropical diseases · 2021Article
- Mapping the cryptic spread of the 2015-2016 global Zika virus epidemic.BMC medicine · 2020Article
- Article
- Climate change could shift disease burden from malaria to arboviruses in Africa.The Lancet. Planetary health · 2020Review
- Inference on dengue epidemics with Bayesian regime switching models.PLoS computational biology · 2020Article
- Ecological Niche Modeling: An Introduction for Veterinarians and Epidemiologists.Frontiers in veterinary science · 2020Review
- Thermal biology of mosquito-borne disease.Ecology letters · 2019Review
- Climate drives spatial variation in Zika epidemics in Latin America.Proceedings. Biological sciences · 2019Article
- Spatiotemporal Heterogeneity in the Distribution of Chikungunya and Zika Virus Case Incidences during their 2014 to 2016 Epidemics in Barranquilla, Colombia.International journal of environmental research and public health · 2019Article
- How Modelling Can Enhance the Analysis of Imperfect Epidemic Data.Trends in parasitology · 2019Review
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Authors and funding
4 authors.
Funding
Abstract
Background Chikungunya is an emerging arbovirus that has caused explosive outbreaks in Africa and Asia for decades and invaded the Americas just over a year ago. During this ongoing invasion, it has spread to 45 countries where it has been transmitted autochthonously, infecting nearly 1.3 million people in total. Methods Here, we made use of weekly, country-level case reports to infer relationships between transmission and two putative climatic drivers: temperature and precipitation averaged across each country on a monthly basis. To do so, we used a TSIR model that enabled us to infer a parametric relationship between climatic drivers and transmission potential, and we applied a new method for incorporating a probabilistic description of the serial interval distribution into the TSIR framework. Results We found significant relationships between transmission and linear and quadratic terms for temperature and precipitation and a linear term for log incidence during the previous pathogen generation. The lattermost suggests that case numbers three to four weeks ago are largely predictive of current case numbers. This effect is quite nonlinear at the country level, however, due to an estimated mixing parameter of 0.74. Relationships between transmission and the climatic variables that we estimated were biologically plausible and in line with expectations. Conclusions Our analysis suggests that autochthonous transmission of Chikungunya in the Americas can be correlated successfully with putative climatic drivers, even at the coarse scale of countries and using long-term average climate data. Overall, this provides a preliminary suggestion that successfully forecasting the future trajectory of a Chikungunya outbreak and the receptivity of virgin areas may be possible. Our results also provide tentative estimates of timeframes and areas of greatest risk, and our extension of the TSIR model provides a novel tool for modeling vector-borne disease transmission.
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