Epidemiological Impact of SARS-CoV-2 Vaccination: Mathematical Modeling Analyses.
COVID-19
SARS-CoV-2
coronavirus
epidemiology
mathematical model
vaccine
Journal
Vaccines
ISSN: 2076-393X
Titre abrégé: Vaccines (Basel)
Pays: Switzerland
ID NLM: 101629355
Informations de publication
Date de publication:
09 Nov 2020
09 Nov 2020
Historique:
received:
04
10
2020
revised:
31
10
2020
accepted:
05
11
2020
entrez:
13
11
2020
pubmed:
14
11
2020
medline:
14
11
2020
Statut:
epublish
Résumé
This study aims to inform SARS-CoV-2 vaccine development/licensure/decision-making/implementation, using mathematical modeling, by determining key preferred vaccine product characteristics and associated population-level impacts of a vaccine eliciting long-term protection. A prophylactic vaccine with efficacy against acquisition (
Identifiants
pubmed: 33182403
pii: vaccines8040668
doi: 10.3390/vaccines8040668
pmc: PMC7712303
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Qatar National Research Fund
ID : NPRP grant number 9-040-3-008
Organisme : Qatar National Research Fund
ID : NPRP grant number 12S-0216-190094
Organisme : UK Research and Innovation
ID : Global Challenges Research Fund, grant number ES/P010873/1
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