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Characterizing the Countrywide Epidemic Spread of Influenza A(H1N1)pdm09 Virus in Kenya between 2009 and 2018
The spatiotemporal patterns of spread of influenza A(H1N1)pdm09 viruses on a countrywide scale are unclear in many tropical/subtropical regions mainly because spatiotemporally representative sequence data are lacking. We isolated, sequenced, and analyzed 383 A(H1N1)pdm09 viral genomes from hospitali...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8539974/ https://www.ncbi.nlm.nih.gov/pubmed/34696386 http://dx.doi.org/10.3390/v13101956 |
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author | Owuor, D. Collins de Laurent, Zaydah R. Kikwai, Gilbert K. Mayieka, Lillian M. Ochieng, Melvin Müller, Nicola F. Otieno, Nancy A. Emukule, Gideon O. Hunsperger, Elizabeth A. Garten, Rebecca Barnes, John R. Chaves, Sandra S. Nokes, D. James Agoti, Charles N. |
author_facet | Owuor, D. Collins de Laurent, Zaydah R. Kikwai, Gilbert K. Mayieka, Lillian M. Ochieng, Melvin Müller, Nicola F. Otieno, Nancy A. Emukule, Gideon O. Hunsperger, Elizabeth A. Garten, Rebecca Barnes, John R. Chaves, Sandra S. Nokes, D. James Agoti, Charles N. |
author_sort | Owuor, D. Collins |
collection | PubMed |
description | The spatiotemporal patterns of spread of influenza A(H1N1)pdm09 viruses on a countrywide scale are unclear in many tropical/subtropical regions mainly because spatiotemporally representative sequence data are lacking. We isolated, sequenced, and analyzed 383 A(H1N1)pdm09 viral genomes from hospitalized patients between 2009 and 2018 from seven locations across Kenya. Using these genomes and contemporaneously sampled global sequences, we characterized the spread of the virus in Kenya over several seasons using phylodynamic methods. The transmission dynamics of A(H1N1)pdm09 virus in Kenya were characterized by (i) multiple virus introductions into Kenya over the study period, although only a few of those introductions instigated local seasonal epidemics that then established local transmission clusters, (ii) persistence of transmission clusters over several epidemic seasons across the country, (iii) seasonal fluctuations in effective reproduction number (R(e)) associated with lower number of infections and seasonal fluctuations in relative genetic diversity after an initial rapid increase during the early pandemic phase, which broadly corresponded to epidemic peaks in the northern and southern hemispheres, (iv) high virus genetic diversity with greater frequency of seasonal fluctuations in 2009–2011 and 2018 and low virus genetic diversity with relatively weaker seasonal fluctuations in 2012–2017, and (v) virus spread across Kenya. Considerable influenza virus diversity circulated within Kenya, including persistent viral lineages that were unique to the country, which may have been capable of dissemination to other continents through a globally migrating virus population. Further knowledge of the viral lineages that circulate within understudied low-to-middle-income tropical and subtropical regions is required to understand the full diversity and global ecology of influenza viruses in humans and to inform vaccination strategies within these regions. |
format | Online Article Text |
id | pubmed-8539974 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85399742021-10-24 Characterizing the Countrywide Epidemic Spread of Influenza A(H1N1)pdm09 Virus in Kenya between 2009 and 2018 Owuor, D. Collins de Laurent, Zaydah R. Kikwai, Gilbert K. Mayieka, Lillian M. Ochieng, Melvin Müller, Nicola F. Otieno, Nancy A. Emukule, Gideon O. Hunsperger, Elizabeth A. Garten, Rebecca Barnes, John R. Chaves, Sandra S. Nokes, D. James Agoti, Charles N. Viruses Article The spatiotemporal patterns of spread of influenza A(H1N1)pdm09 viruses on a countrywide scale are unclear in many tropical/subtropical regions mainly because spatiotemporally representative sequence data are lacking. We isolated, sequenced, and analyzed 383 A(H1N1)pdm09 viral genomes from hospitalized patients between 2009 and 2018 from seven locations across Kenya. Using these genomes and contemporaneously sampled global sequences, we characterized the spread of the virus in Kenya over several seasons using phylodynamic methods. The transmission dynamics of A(H1N1)pdm09 virus in Kenya were characterized by (i) multiple virus introductions into Kenya over the study period, although only a few of those introductions instigated local seasonal epidemics that then established local transmission clusters, (ii) persistence of transmission clusters over several epidemic seasons across the country, (iii) seasonal fluctuations in effective reproduction number (R(e)) associated with lower number of infections and seasonal fluctuations in relative genetic diversity after an initial rapid increase during the early pandemic phase, which broadly corresponded to epidemic peaks in the northern and southern hemispheres, (iv) high virus genetic diversity with greater frequency of seasonal fluctuations in 2009–2011 and 2018 and low virus genetic diversity with relatively weaker seasonal fluctuations in 2012–2017, and (v) virus spread across Kenya. Considerable influenza virus diversity circulated within Kenya, including persistent viral lineages that were unique to the country, which may have been capable of dissemination to other continents through a globally migrating virus population. Further knowledge of the viral lineages that circulate within understudied low-to-middle-income tropical and subtropical regions is required to understand the full diversity and global ecology of influenza viruses in humans and to inform vaccination strategies within these regions. MDPI 2021-09-29 /pmc/articles/PMC8539974/ /pubmed/34696386 http://dx.doi.org/10.3390/v13101956 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Owuor, D. Collins de Laurent, Zaydah R. Kikwai, Gilbert K. Mayieka, Lillian M. Ochieng, Melvin Müller, Nicola F. Otieno, Nancy A. Emukule, Gideon O. Hunsperger, Elizabeth A. Garten, Rebecca Barnes, John R. Chaves, Sandra S. Nokes, D. James Agoti, Charles N. Characterizing the Countrywide Epidemic Spread of Influenza A(H1N1)pdm09 Virus in Kenya between 2009 and 2018 |
title | Characterizing the Countrywide Epidemic Spread of Influenza A(H1N1)pdm09 Virus in Kenya between 2009 and 2018 |
title_full | Characterizing the Countrywide Epidemic Spread of Influenza A(H1N1)pdm09 Virus in Kenya between 2009 and 2018 |
title_fullStr | Characterizing the Countrywide Epidemic Spread of Influenza A(H1N1)pdm09 Virus in Kenya between 2009 and 2018 |
title_full_unstemmed | Characterizing the Countrywide Epidemic Spread of Influenza A(H1N1)pdm09 Virus in Kenya between 2009 and 2018 |
title_short | Characterizing the Countrywide Epidemic Spread of Influenza A(H1N1)pdm09 Virus in Kenya between 2009 and 2018 |
title_sort | characterizing the countrywide epidemic spread of influenza a(h1n1)pdm09 virus in kenya between 2009 and 2018 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8539974/ https://www.ncbi.nlm.nih.gov/pubmed/34696386 http://dx.doi.org/10.3390/v13101956 |
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