Journal article
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...
Expand abstract
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Authors
Funding
Wellcome Trust
More from this funder
Bibliographic Details
- 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
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1164033
- Local pid:
- pubs:1164033
- Deposit date:
- 2021-12-08
Terms of use
- Copyright holder:
- Brown et al.
- Copyright date:
- 2021
- Rights statement:
- ©2021 Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Metrics
If you are the owner of this record, you can report an update to it here: Report update to this record