Combining genomic and epidemiological data to compare the transmissibility of SARS-CoV-2 lineages.
Journal
medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986
Informations de publication
Date de publication:
02 Jul 2021
02 Jul 2021
Historique:
entrez:
7
7
2021
pubmed:
8
7
2021
medline:
8
7
2021
Statut:
epublish
Résumé
Emerging SARS-CoV-2 variants have shaped the second year of the COVID-19 pandemic and the public health discourse around effective control measures. Evaluating the public health threat posed by a new variant is essential for appropriately adapting response efforts when community transmission is detected. However, this assessment requires that a true comparison can be made between the new variant and its predecessors because factors other than the virus genotype may influence spread and transmission. In this study, we develop a framework that integrates genomic surveillance data to estimate the relative effective reproduction number (R
Identifiants
pubmed: 34230938
doi: 10.1101/2021.07.01.21259859
pmc: PMC8259915
pii:
doi:
Types de publication
Preprint
Langues
eng
Subventions
Organisme : NCATS NIH HHS
ID : TL1 TR001864
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001863
Pays : United States
Commentaires et corrections
Type : UpdateIn
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