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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.
  • Yang W; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
  • Greene SK; Bureau of Communicable Disease, New York City Department of Health and Mental Hygiene, New York, NY, USA.
  • Peterson ER; Bureau of Communicable Disease, New York City Department of Health and Mental Hygiene, New York, NY, USA.
  • Li W; Bureau of Vital Statistics, New York City Department of Health and Mental Hygiene, New York, NY, USA.
  • Mathes R; Bureau of Communicable Disease, New York City Department of Health and Mental Hygiene, New York, NY, USA.
  • Graf L; Bureau of Communicable Disease, New York City Department of Health and Mental Hygiene, New York, NY, USA.
  • Lall R; Bureau of Communicable Disease, New York City Department of Health and Mental Hygiene, New York, NY, USA.
  • Hughes S; Public Health Laboratory, New York City Department of Health and Mental Hygiene, New York, NY, USA.
  • Wang J; Public Health Laboratory, New York City Department of Health and Mental Hygiene, New York, NY, USA.
  • Fine A; Bureau of Communicable Disease, New York City Department of Health and Mental Hygiene, New York, NY, USA.
Sci Adv ; 8(4): eabm0300, 2022 Jan 28.
Article in English | MEDLINE | ID: covidwho-2287593
ABSTRACT
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.

Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Topics: Variants Language: English Journal: Sci Adv Year: 2022 Document Type: Article Affiliation country: Sciadv.abm0300

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Topics: Variants Language: English Journal: Sci Adv Year: 2022 Document Type: Article Affiliation country: Sciadv.abm0300