A mathematical model reveals the influence of population heterogeneity on herd immunity to SARS-CoV-2.
Journal
Science (New York, N.Y.)
ISSN: 1095-9203
Titre abrégé: Science
Pays: United States
ID NLM: 0404511
Informations de publication
Date de publication:
14 08 2020
14 08 2020
Historique:
received:
07
05
2020
accepted:
18
06
2020
pubmed:
25
6
2020
medline:
28
8
2020
entrez:
25
6
2020
Statut:
ppublish
Résumé
Despite various levels of preventive measures, in 2020, many countries have suffered severely from the coronavirus disease 2019 (COVID-19) pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. Using a model, we show that population heterogeneity can affect disease-induced immunity considerably because the proportion of infected individuals in groups with the highest contact rates is greater than that in groups with low contact rates. We estimate that if
Identifiants
pubmed: 32576668
pii: science.abc6810
doi: 10.1126/science.abc6810
pmc: PMC7331793
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
846-849Informations de copyright
Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.
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