Comparing lagged impacts of mobility changes and environmental factors on COVID-19 waves in rural and urban India: A Bayesian spatiotemporal modelling study.

Comparing lagged impacts of mobility changes and environmental factors on COVID-19 waves in rural and urban India: A Bayesian spatiotemporal modelling study.

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Previous research in India has identified urbanisation, human mobility and population demographics as key variables associated with higher district level COVID-19 incidence. However, the spatiotemporal dynamics of mobility patterns in rural and urban areas in India, in conjunction with other drivers...

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Bibliographic Details
Main Authors: Eimear Cleary, Fatumah Atuhaire, Alessandro Sorichetta, Nick Ruktanonchai, Cori Ruktanonchai, Alexander Cunningham, Massimiliano Pasqui, Marcello Schiavina, Michele Melchiorri, Maksym Bondarenko, Harry E R Shepherd, Sabu S Padmadas, Amy Wesolowski, Derek A T Cummings, Andrew J Tatem, Shengjie Lai
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.0003431
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