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arxiv: 1612.02812 · v1 · pith:R6YBRFF2new · submitted 2016-12-08 · 📊 stat.AP · q-bio.QM

Advances in using Internet searches to track dengue

classification 📊 stat.AP q-bio.QM
keywords dengueactivitybeencountrieseffortsframeworkmultipleproposed
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Dengue is a mosquito-borne disease that threatens more than half of the world's population. Despite being endemic to over 100 countries, government-led efforts and mechanisms to timely identify and track the emergence of new infections are still lacking in many affected areas. Multiple methodologies that leverage the use of Internet-based data sources have been proposed as a way to complement dengue surveillance efforts. Among these, the trends in dengue-related Google searches have been shown to correlate with dengue activity. We extend a methodological framework, initially proposed and validated for flu surveillance, to produce near real-time estimates of dengue cases in five countries/regions: Mexico, Brazil, Thailand, Singapore and Taiwan. Our result shows that our modeling framework can be used to improve the tracking of dengue activity in multiple locations around the world.

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