Genomics, social media and mobile phone data enable mapping of SARS-CoV-2 lineages to inform health policy in Bangladesh.
View / Open Files
Authors
Cowley, Lauren A
Rahman, Sadia Isfat Ara
Chin, Taylor
Mahmud, Ayesha
Rahman, Mohammed Ziaur
Billah, Mallick Masum
Khan, Manjur Hossain
Sultana, Sharmin
Khondaker, Tilovatul
Banik, Nandita
Alam, Ahmed Nawsher
Mannoor, Kaiissar
Banu, Sayera
Chowdhury, Anir
Flora, Meerjady Sabrina
Buckee, Caroline O
Shirin, Tahmina
Publication Date
2021-10Journal Title
Nat Microbiol
ISSN
2058-5276
Publisher
Springer Science and Business Media LLC
Volume
6
Issue
10
Pages
1271-1278
Language
eng
Type
Article
This Version
VoR
Physical Medium
Print-Electronic
Metadata
Show full item recordCitation
Cowley, L. A., Afrad, M. H., Rahman, S. I. A., Mamun, M. M. A., Chin, T., Mahmud, A., Rahman, M. Z., et al. (2021). Genomics, social media and mobile phone data enable mapping of SARS-CoV-2 lineages to inform health policy in Bangladesh.. Nat Microbiol, 6 (10), 1271-1278. https://doi.org/10.1038/s41564-021-00955-3
Abstract
Genomics, combined with population mobility data, used to map importation and spatial spread of SARS-CoV-2 in high-income countries has enabled the implementation of local control measures. Here, to track the spread of SARS-CoV-2 lineages in Bangladesh at the national level, we analysed outbreak trajectory and variant emergence using genomics, Facebook 'Data for Good' and data from three mobile phone operators. We sequenced the complete genomes of 67 SARS-CoV-2 samples (collected by the IEDCR in Bangladesh between March and July 2020) and combined these data with 324 publicly available Global Initiative on Sharing All Influenza Data (GISAID) SARS-CoV-2 genomes from Bangladesh at that time. We found that most (85%) of the sequenced isolates were Pango lineage B.1.1.25 (58%), B.1.1 (19%) or B.1.36 (8%) in early-mid 2020. Bayesian time-scaled phylogenetic analysis predicted that SARS-CoV-2 first emerged during mid-February in Bangladesh, from abroad, with the first case of coronavirus disease 2019 (COVID-19) reported on 8 March 2020. At the end of March 2020, three discrete lineages expanded and spread clonally across Bangladesh. The shifting pattern of viral diversity in Bangladesh, combined with the mobility data, revealed that the mass migration of people from cities to rural areas at the end of March, followed by frequent travel between Dhaka (the capital of Bangladesh) and the rest of the country, disseminated three dominant viral lineages. Further analysis of an additional 85 genomes (November 2020 to April 2021) found that importation of variant of concern Beta (B.1.351) had occurred and that Beta had become dominant in Dhaka. Our interpretation that population mobility out of Dhaka, and travel from urban hotspots to rural areas, disseminated lineages in Bangladesh in the first wave continues to inform government policies to control national case numbers by limiting within-country travel.
Keywords
Bangladesh, Bayes Theorem, COVID-19, Cell Phone, Disease Outbreaks, Genome, Viral, Genomics, Health Policy, Humans, Phylogeny, Population Dynamics, SARS-CoV-2, Social Media, Travel
Identifiers
External DOI: https://doi.org/10.1038/s41564-021-00955-3
This record's URL: https://www.repository.cam.ac.uk/handle/1810/329959
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.
Recommended or similar items
The current recommendation prototype on the Apollo Repository will be turned off on 03 February 2023. Although the pilot has been fruitful for both parties, the service provider IKVA is focusing on horizon scanning products and so the recommender service can no longer be supported. We recognise the importance of recommender services in supporting research discovery and are evaluating offerings from other service providers. If you would like to offer feedback on this decision please contact us on: support@repository.cam.ac.uk