Epidemiology of COVID-19 after Emergence of SARS-CoV-2 Gamma Variant, Brazilian Amazon, 2020–2021

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Gamma variant has been hypothesized to cause more severe illness than previous variants, especially in children. Successive SARS-CoV-2 IgG serosurveys in the Brazilian Amazon showed that age-specific attack rates and proportions of sym...

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Autores principales: Nicolete, Vanessa C., Rodrigues, Priscila T., Fernandes, Anderson R.J., Corder, Rodrigo M., Tonini, Juliana, Buss, Lewis F., Sales, Flávia C., Faria, Nuno R., Sabino, Ester C., Castro, Marcia C., Ferreira, Marcelo U.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2022
Materias:
Dispatch
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8888227/
https://www.ncbi.nlm.nih.gov/pubmed/34963505
http://dx.doi.org/10.3201/eid2803.211993
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author Nicolete, Vanessa C.
Rodrigues, Priscila T.
Fernandes, Anderson R.J.
Corder, Rodrigo M.
Tonini, Juliana
Buss, Lewis F.
Sales, Flávia C.
Faria, Nuno R.
Sabino, Ester C.
Castro, Marcia C.
Ferreira, Marcelo U.
author_facet Nicolete, Vanessa C.
Rodrigues, Priscila T.
Fernandes, Anderson R.J.
Corder, Rodrigo M.
Tonini, Juliana
Buss, Lewis F.
Sales, Flávia C.
Faria, Nuno R.
Sabino, Ester C.
Castro, Marcia C.
Ferreira, Marcelo U.
author_sort Nicolete, Vanessa C.
collection PubMed
description The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Gamma variant has been hypothesized to cause more severe illness than previous variants, especially in children. Successive SARS-CoV-2 IgG serosurveys in the Brazilian Amazon showed that age-specific attack rates and proportions of symptomatic SARS-CoV-2 infections were similar before and after Gamma variant emergence.
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spelling pubmed-88882272022-03-02 Epidemiology of COVID-19 after Emergence of SARS-CoV-2 Gamma Variant, Brazilian Amazon, 2020–2021 Nicolete, Vanessa C. Rodrigues, Priscila T. Fernandes, Anderson R.J. Corder, Rodrigo M. Tonini, Juliana Buss, Lewis F. Sales, Flávia C. Faria, Nuno R. Sabino, Ester C. Castro, Marcia C. Ferreira, Marcelo U. Emerg Infect Dis Dispatch The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Gamma variant has been hypothesized to cause more severe illness than previous variants, especially in children. Successive SARS-CoV-2 IgG serosurveys in the Brazilian Amazon showed that age-specific attack rates and proportions of symptomatic SARS-CoV-2 infections were similar before and after Gamma variant emergence. Centers for Disease Control and Prevention 2022-03 /pmc/articles/PMC8888227/ /pubmed/34963505 http://dx.doi.org/10.3201/eid2803.211993 Text en https://creativecommons.org/licenses/by/4.0/Emerging Infectious Diseases is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Dispatch
Nicolete, Vanessa C.
Rodrigues, Priscila T.
Fernandes, Anderson R.J.
Corder, Rodrigo M.
Tonini, Juliana
Buss, Lewis F.
Sales, Flávia C.
Faria, Nuno R.
Sabino, Ester C.
Castro, Marcia C.
Ferreira, Marcelo U.
Epidemiology of COVID-19 after Emergence of SARS-CoV-2 Gamma Variant, Brazilian Amazon, 2020–2021
title Epidemiology of COVID-19 after Emergence of SARS-CoV-2 Gamma Variant, Brazilian Amazon, 2020–2021
title_full Epidemiology of COVID-19 after Emergence of SARS-CoV-2 Gamma Variant, Brazilian Amazon, 2020–2021
title_fullStr Epidemiology of COVID-19 after Emergence of SARS-CoV-2 Gamma Variant, Brazilian Amazon, 2020–2021
title_full_unstemmed Epidemiology of COVID-19 after Emergence of SARS-CoV-2 Gamma Variant, Brazilian Amazon, 2020–2021
title_short Epidemiology of COVID-19 after Emergence of SARS-CoV-2 Gamma Variant, Brazilian Amazon, 2020–2021
title_sort epidemiology of covid-19 after emergence of sars-cov-2 gamma variant, brazilian amazon, 2020–2021
topic Dispatch
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8888227/
https://www.ncbi.nlm.nih.gov/pubmed/34963505
http://dx.doi.org/10.3201/eid2803.211993
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