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The effect of early-stage public health policies in the transmission of COVID-19 for South American countries

OBJECTIVES. The analysis of transmission dynamics is crucial to determine whether mitigation or suppression measures reduce the spread of coronavirus disease 2019 (COVID-19). This study sought to estimate the basic (R(0)) and time-varying (R(t)) reproduction number of COVID-19 and contrast the publi...

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Autores principales: Valcarcel, Bryan, Avilez, Jose L., Torres-Roman, J. Smith, Poterico, Julio A., Bazalar-Palacios, Janina, Vecchia, Carlo La
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Organización Panamericana de la Salud 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7679045/
https://www.ncbi.nlm.nih.gov/pubmed/33245294
http://dx.doi.org/10.26633/RPSP.2020.148
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author Valcarcel, Bryan
Avilez, Jose L.
Torres-Roman, J. Smith
Poterico, Julio A.
Bazalar-Palacios, Janina
Vecchia, Carlo La
author_facet Valcarcel, Bryan
Avilez, Jose L.
Torres-Roman, J. Smith
Poterico, Julio A.
Bazalar-Palacios, Janina
Vecchia, Carlo La
author_sort Valcarcel, Bryan
collection PubMed
description OBJECTIVES. The analysis of transmission dynamics is crucial to determine whether mitigation or suppression measures reduce the spread of coronavirus disease 2019 (COVID-19). This study sought to estimate the basic (R(0)) and time-varying (R(t)) reproduction number of COVID-19 and contrast the public health measures for ten South American countries. METHODS. Data was obtained from the European Centre for Disease Prevention and Control. Country-specific R(0) values during the first two weeks of the outbreak and R(t) values after 90 days were estimated. RESULTS. Countries used a combination of isolation, physical distancing, quarantine, and community-wide containment measures to staunch the spread of COVID-19 at different points in time. R(0) ranged from 1.52 (95% confidence interval: 1.13-1.99) in Venezuela to 3.83 (3.04-4.75) in Chile, whereas R(t) after 90 days ranged from 0.71 (95% credible interval: 0.39-1.05) in Uruguay to 1.20 (1.19-1.20) in Brazil. Different R(0) and R(t) values may be related to the testing capacity of each country. CONCLUSION. R(0) in the early phase of the outbreak varied across the South American countries. The public health measures adopted in the initial period of the pandemic appear to have reduced R(t) over time in each country, albeit to different levels.
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spelling pubmed-76790452020-11-24 The effect of early-stage public health policies in the transmission of COVID-19 for South American countries Valcarcel, Bryan Avilez, Jose L. Torres-Roman, J. Smith Poterico, Julio A. Bazalar-Palacios, Janina Vecchia, Carlo La Rev Panam Salud Publica Original Research OBJECTIVES. The analysis of transmission dynamics is crucial to determine whether mitigation or suppression measures reduce the spread of coronavirus disease 2019 (COVID-19). This study sought to estimate the basic (R(0)) and time-varying (R(t)) reproduction number of COVID-19 and contrast the public health measures for ten South American countries. METHODS. Data was obtained from the European Centre for Disease Prevention and Control. Country-specific R(0) values during the first two weeks of the outbreak and R(t) values after 90 days were estimated. RESULTS. Countries used a combination of isolation, physical distancing, quarantine, and community-wide containment measures to staunch the spread of COVID-19 at different points in time. R(0) ranged from 1.52 (95% confidence interval: 1.13-1.99) in Venezuela to 3.83 (3.04-4.75) in Chile, whereas R(t) after 90 days ranged from 0.71 (95% credible interval: 0.39-1.05) in Uruguay to 1.20 (1.19-1.20) in Brazil. Different R(0) and R(t) values may be related to the testing capacity of each country. CONCLUSION. R(0) in the early phase of the outbreak varied across the South American countries. The public health measures adopted in the initial period of the pandemic appear to have reduced R(t) over time in each country, albeit to different levels. Organización Panamericana de la Salud 2020-11-20 /pmc/articles/PMC7679045/ /pubmed/33245294 http://dx.doi.org/10.26633/RPSP.2020.148 Text en https://creativecommons.org/licenses/by-nc-nd/3.0/igo/legalcode This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 IGO License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited. No modifications or commercial use of this article are permitted. In any reproduction of this article there should not be any suggestion that PAHO or this article endorse any specific organization or products. The use of the PAHO logo is not permitted. This notice should be preserved along with the article’s original URL.
spellingShingle Original Research
Valcarcel, Bryan
Avilez, Jose L.
Torres-Roman, J. Smith
Poterico, Julio A.
Bazalar-Palacios, Janina
Vecchia, Carlo La
The effect of early-stage public health policies in the transmission of COVID-19 for South American countries
title The effect of early-stage public health policies in the transmission of COVID-19 for South American countries
title_full The effect of early-stage public health policies in the transmission of COVID-19 for South American countries
title_fullStr The effect of early-stage public health policies in the transmission of COVID-19 for South American countries
title_full_unstemmed The effect of early-stage public health policies in the transmission of COVID-19 for South American countries
title_short The effect of early-stage public health policies in the transmission of COVID-19 for South American countries
title_sort effect of early-stage public health policies in the transmission of covid-19 for south american countries
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7679045/
https://www.ncbi.nlm.nih.gov/pubmed/33245294
http://dx.doi.org/10.26633/RPSP.2020.148
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