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Epidemiological characteristics of the B.1.526 SARS-CoV-2 variant

To characterize the epidemiological properties of the B.1.526 SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) variant of interest, here we used nine epidemiological and population datasets and model-inference methods to reconstruct SARS-CoV-2 transmission dynamics in New York City, wher...

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Autores principales: Yang, Wan, Greene, Sharon K., Peterson, Eric R., Li, Wenhui, Mathes, Robert, Graf, Laura, Lall, Ramona, Hughes, Scott, Wang, Jade, Fine, Anne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8797779/
https://www.ncbi.nlm.nih.gov/pubmed/35089794
http://dx.doi.org/10.1126/sciadv.abm0300
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author Yang, Wan
Greene, Sharon K.
Peterson, Eric R.
Li, Wenhui
Mathes, Robert
Graf, Laura
Lall, Ramona
Hughes, Scott
Wang, Jade
Fine, Anne
author_facet Yang, Wan
Greene, Sharon K.
Peterson, Eric R.
Li, Wenhui
Mathes, Robert
Graf, Laura
Lall, Ramona
Hughes, Scott
Wang, Jade
Fine, Anne
author_sort Yang, Wan
collection PubMed
description To characterize the epidemiological properties of the B.1.526 SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) variant of interest, here we used nine epidemiological and population datasets and model-inference methods to reconstruct SARS-CoV-2 transmission dynamics in New York City, where B.1.526 emerged. We estimated that B.1.526 had a moderate increase (15 to 25%) in transmissibility, could escape immunity in 0 to 10% of previously infected individuals, and substantially increased the infection fatality risk (IFR) among adults 65 or older by >60% during November 2020 to April 2021, compared to estimates for preexisting variants. Overall, findings suggest that new variants like B.1.526 likely spread in the population weeks before detection and that partial immune escape (e.g., resistance to therapeutic antibodies) could offset prior medical advances and increase IFR. Early preparedness for and close monitoring of SARS-CoV-2 variants, their epidemiological characteristics, and disease severity are thus crucial to COVID-19 (coronavirus disease 2019) response.
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spelling pubmed-87977792022-02-09 Epidemiological characteristics of the B.1.526 SARS-CoV-2 variant Yang, Wan Greene, Sharon K. Peterson, Eric R. Li, Wenhui Mathes, Robert Graf, Laura Lall, Ramona Hughes, Scott Wang, Jade Fine, Anne Sci Adv Social and Interdisciplinary Sciences To characterize the epidemiological properties of the B.1.526 SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) variant of interest, here we used nine epidemiological and population datasets and model-inference methods to reconstruct SARS-CoV-2 transmission dynamics in New York City, where B.1.526 emerged. We estimated that B.1.526 had a moderate increase (15 to 25%) in transmissibility, could escape immunity in 0 to 10% of previously infected individuals, and substantially increased the infection fatality risk (IFR) among adults 65 or older by >60% during November 2020 to April 2021, compared to estimates for preexisting variants. Overall, findings suggest that new variants like B.1.526 likely spread in the population weeks before detection and that partial immune escape (e.g., resistance to therapeutic antibodies) could offset prior medical advances and increase IFR. Early preparedness for and close monitoring of SARS-CoV-2 variants, their epidemiological characteristics, and disease severity are thus crucial to COVID-19 (coronavirus disease 2019) response. American Association for the Advancement of Science 2022-01-28 /pmc/articles/PMC8797779/ /pubmed/35089794 http://dx.doi.org/10.1126/sciadv.abm0300 Text en Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Social and Interdisciplinary Sciences
Yang, Wan
Greene, Sharon K.
Peterson, Eric R.
Li, Wenhui
Mathes, Robert
Graf, Laura
Lall, Ramona
Hughes, Scott
Wang, Jade
Fine, Anne
Epidemiological characteristics of the B.1.526 SARS-CoV-2 variant
title Epidemiological characteristics of the B.1.526 SARS-CoV-2 variant
title_full Epidemiological characteristics of the B.1.526 SARS-CoV-2 variant
title_fullStr Epidemiological characteristics of the B.1.526 SARS-CoV-2 variant
title_full_unstemmed Epidemiological characteristics of the B.1.526 SARS-CoV-2 variant
title_short Epidemiological characteristics of the B.1.526 SARS-CoV-2 variant
title_sort epidemiological characteristics of the b.1.526 sars-cov-2 variant
topic Social and Interdisciplinary Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8797779/
https://www.ncbi.nlm.nih.gov/pubmed/35089794
http://dx.doi.org/10.1126/sciadv.abm0300
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