ArticleScientific reports2017
An ecological and digital epidemiology analysis on the role of human behavior on the 2014 Chikungunya outbreak in Martinique.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Inferring human behavior through online social networks may provide accurate behavioral estimates for outbreak forecasting of arboviruses.PLOS global public health · 2025Article
- Spatial and temporal invasion dynamics of the 2014-2017 Zika and chikungunya epidemics in Colombia.PLoS computational biology · 2021Article
- The Impact of Temperature on the Risk of COVID-19: A Multinational Study.International journal of environmental research and public health · 2021Article
- Megacities as drivers of national outbreaks: The 2017 chikungunya outbreak in Dhaka, Bangladesh.PLoS neglected tropical diseases · 2021Article
- Opportunities and challenges in antimicrobial resistance behavior change communication.One health (Amsterdam, Netherlands) · 2020Review
- A New Era of Epidemiology: Digital Epidemiology for Investigating the COVID-19 Outbreak in China.Journal of medical Internet research · 2020Article
- Google Searches and Detection of Conjunctivitis Epidemics Worldwide.Ophthalmology · 2019Article
- Facebook and Twitter vaccine sentiment in response to measles outbreaks.Health informatics journal · 2019Article
- Digital Epidemiology: Use of Digital Data Collected for Non-epidemiological Purposes in Epidemiological Studies.Healthcare informatics research · 2018Review
- Review
- 2017 international meeting of the Global Virus Network.Antiviral research · 2018Article
- Harnessing Big Data for Communicable Tropical and Sub-Tropical Disorders: Implications From a Systematic Review of the Literature.Frontiers in public health · 2018Article
- Internet-based biosurveillance methods for vector-borne diseases: Are they novel public health tools or just novelties?PLoS neglected tropical diseases · 2017Review
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13 authors.
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Abstract
Understanding the spatio-temporal dynamics of endemic infections is of critical importance for a deeper understanding of pathogen transmission, and for the design of more efficient public health strategies. However, very few studies in this domain have focused on emerging infections, generating a gap of knowledge that hampers epidemiological response planning. Here, we analyze the case of a Chikungunya outbreak that occurred in Martinique in 2014. Using time series estimates from a network of sentinel practitioners covering the entire island, we first analyze the spatio-temporal dynamics and show that the largest city has served as the epicenter of this epidemic. We further show that the epidemic spread from there through two different propagation waves moving northwards and southwards, probably by individuals moving along the road network. We then develop a mathematical model to explore the drivers of the temporal dynamics of this mosquito-borne virus. Finally, we show that human behavior, inferred by a textual analysis of messages published on the social network Twitter, is required to explain the epidemiological dynamics over time. Overall, our results suggest that human behavior has been a key component of the outbreak propagation, and we argue that such results can lead to more efficient public health strategies specifically targeting the propagation process.
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