Tracking COVID-19 using online search
Published on by Vasileios Lampos
This repository contains data sets used for the following publication: Vasileios Lampos, Maimuna S. Majumder, Elad Yom-Tov, Michael Edelstein, Simon Moura, Yohhei Hamada, Molebogeng X. Rangaka, Rachel A. McKendry, Ingemar J. Cox (2021). Tracking COVID-19 using online search. Nature Digital Medicine, DOI:10.1038/s41746-021-00384-w
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Funding
i-sense: EPSRC IRC in Agile Early Warning Sensing Systems for Infectious Diseases and Antimicrobial ResistanceEngineering and Physical Sciences Research CouncilFind out more...
Virus Watch: Understanding community incidence, symptom profiles, and transmission of COVID-19 in relation to population movement and behaviour.UK Research and InnovationFind out more...
Modelling the prevalence and understanding the impact of COVID-19 using web search data (Google)
