2021
DOI: 10.1101/2021.02.07.21250586
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The impact of mobility network properties on predicted epidemic dynamics in Dhaka and Bangkok

Abstract: Properties of city-level commuting networks are expected to influence epidemic potential of cities and modify the speed and spatial trajectory of epidemics when they occur. In this study, we use aggregated mobile phone user data to reconstruct commuter mobility networks for Bangkok (Thailand) and Dhaka (Bangladesh), two megacities in Asia with populations of 16 and 21 million people, respectively. We model the dynamics of directly-transmitted infections (such as SARS-CoV2) propagating on … Show more

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