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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-CoV-2) propagating on the...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.epidem.2021.100441

Authors


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Role:
Author
ORCID:
0000-0003-2559-2789
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Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Tropical Medicine
Role:
Author
ORCID:
0000-0002-5355-0562
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Wellcome Trust More from this funder
Publisher:
Elsevier Publisher's website
Journal:
Epidemics Journal website
Volume:
35
Article number:
100441
Publication date:
2021-02-22
Acceptance date:
2021-02-01
DOI:
EISSN:
1878-0067
ISSN:
1755-4365
Pmid:
33667878
Language:
English
Keywords:
Pubs id:
1164033
Local pid:
pubs:1164033
Deposit date:
2021-12-08

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