Genomic epidemiology of early SARS-CoV-2 transmission dynamics in Bangladesh
dc.contributor.author | Carnegie, L. | en |
dc.contributor.author | McCrone, J. T. | en |
dc.contributor.author | du Plessis, L. | en |
dc.contributor.author | Hasan, M. | en |
dc.contributor.author | Ali, M.Z. | en |
dc.contributor.author | Begum, R. | en |
dc.contributor.author | Hassan, M.Z. | en |
dc.contributor.author | Islam, S. | en |
dc.contributor.author | Rahman, M.H. | en |
dc.contributor.author | Uddin, A.S.M. | en |
dc.contributor.author | Sarker, M.S. | en |
dc.contributor.author | Das, T. | en |
dc.contributor.author | Hossain, M. | en |
dc.contributor.author | Khan, M. | en |
dc.contributor.author | Razu, M.H. | en |
dc.contributor.author | Akram, A. | en |
dc.contributor.author | Arina, S. | en |
dc.contributor.author | Hoque, E. | en |
dc.contributor.author | Molla, M.M.A. | en |
dc.contributor.author | Nafisaa, T. | en |
dc.contributor.author | Angra, P. | en |
dc.contributor.author | Rambaut, A. | en |
dc.contributor.author | Pullan, S.T. | en |
dc.contributor.author | Osman, K.L. | en |
dc.contributor.author | Hoque, M.A. | en |
dc.contributor.author | Biswas, P. | en |
dc.contributor.author | Flora, M.S. | en |
dc.contributor.author | Raghwani, J. | en |
dc.contributor.author | Fournié, G. | en |
dc.contributor.author | Samad, M.A. | en |
dc.contributor.author | Hill, S.C. | en |
dc.date.accessioned | 2024-11-18T13:55:06Z | en |
dc.date.available | 2024-11-18T13:55:06Z | en |
dc.date.issued | 2024-11-13 | en |
dc.date.updated | 2024-11-17T04:22:02Z | en |
dc.description.abstract | Background: Genomic epidemiology has helped reconstruct the global and regional movement of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, there is still a lack of understanding of SARS-CoV-2 spread in some of the world’s least developed countries (LDCs). Methods: To begin to address this disparity, we studied the transmission dynamics of the virus in Bangladesh during the country’s first COVID-19 wave by analysing case reports and whole-genome sequences from all eight divisions of the country. Results: We detected > 50 virus introductions to the country during the period, including during a period of national lockdown. Additionally, through discrete phylogeographic analyses, we identified that geographical distance and population -density and/or -size influenced virus spatial dispersal in Bangladesh. Conclusions: Overall, this study expands our knowledge of SARS-CoV-2 genomic epidemiology in Bangladesh, shedding light on crucial transmission characteristics within the country, while also acknowledging resemblances and differences to patterns observed in other nations. | en |
dc.description.version | Published version | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Virology Journal. 2024 Nov 13;21(1):291 | en |
dc.identifier.doi | https://doi.org/10.1186/s12985-024-02560-2 | en |
dc.identifier.uri | https://hdl.handle.net/10919/123624 | en |
dc.language.iso | en | en |
dc.rights | Creative Commons Attribution 4.0 International | en |
dc.rights.holder | The Author(s) | en |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en |
dc.title | Genomic epidemiology of early SARS-CoV-2 transmission dynamics in Bangladesh | en |
dc.title.serial | Virology Journal | en |
dc.type | Article - Refereed | en |
dc.type.dcmitype | Text | en |