Inferring human behavior through online social networks may provide accurate behavioral estimates for outbreak forecasting of arboviruses.

Human behavior is known to be a fundamental, yet often neglected, component of infectious disease epidemiology, especially during outbreaks. To quantify its role and fluctuations, analyzing message contents on popular online social networks - part of so-called digital epidemiology - is a promising a...

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Bibliographic Details
Main Authors: Frédéric Jourdain, Debapriyo Chakraborty, Beatrice Gaillard, Arnaud Gautier, Frédéric Simard, Pierre Jay Robert, Laurent Dormont, Jean-Claude Desenclos, Benjamin Roche
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLOS Global Public Health
Online Access:https://doi.org/10.1371/journal.pgph.0004889
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