Combining genomic and epidemiological data to compare the transmissibility of SARS-CoV-2 variants Alpha and Iota.
Journal
Communications biology
ISSN: 2399-3642
Titre abrégé: Commun Biol
Pays: England
ID NLM: 101719179
Informations de publication
Date de publication:
11 05 2022
11 05 2022
Historique:
received:
06
12
2021
accepted:
06
04
2022
entrez:
11
5
2022
pubmed:
12
5
2022
medline:
18
5
2022
Statut:
epublish
Résumé
SARS-CoV-2 variants shaped the second year of the COVID-19 pandemic and the discourse around effective control measures. Evaluating the threat posed by a new variant is essential for adapting response efforts when community transmission is detected. In this study, we compare the dynamics of two variants, Alpha and Iota, by integrating genomic surveillance data to estimate the effective reproduction number (R
Identifiants
pubmed: 35545661
doi: 10.1038/s42003-022-03347-3
pii: 10.1038/s42003-022-03347-3
pmc: PMC9095641
doi:
Banques de données
figshare
['10.6084/m9.figshare.c.5928089']
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Research Support, N.I.H., Extramural
Research Support, U.S. Gov't, P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
439Subventions
Organisme : NHLBI NIH HHS
ID : T35 HL007649
Pays : United States
Organisme : NCATS NIH HHS
ID : TL1 TR001864
Pays : United States
Commentaires et corrections
Type : UpdateOf
Informations de copyright
© 2022. The Author(s).
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