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Ten Epidemiological Parameters of COVID-19: Use of Rapid Literature Review to Inform Predictive Models During the Pandemic

Objective: To describe the methods used in a rapid review of the literature and to present the main epidemiological parameters that describe the transmission of SARS-Cov-2 and the illness caused by this virus, coronavirus disease 2019 (COVID-19). Methods: This is a methodological protocol that enabl...

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Autores principales: Gallo, Luciana Guerra, Oliveira, Ana Flávia de Morais, Abrahão, Amanda Amaral, Sandoval, Leticia Assad Maia, Martins, Yure Rodrigues Araújo, Almirón, Maria, dos Santos, Fabiana Sherine Ganem, Araújo, Wildo Navegantes, de Oliveira, Maria Regina Fernandes, Peixoto, Henry Maia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7735986/
https://www.ncbi.nlm.nih.gov/pubmed/33335879
http://dx.doi.org/10.3389/fpubh.2020.598547
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author Gallo, Luciana Guerra
Oliveira, Ana Flávia de Morais
Abrahão, Amanda Amaral
Sandoval, Leticia Assad Maia
Martins, Yure Rodrigues Araújo
Almirón, Maria
dos Santos, Fabiana Sherine Ganem
Araújo, Wildo Navegantes
de Oliveira, Maria Regina Fernandes
Peixoto, Henry Maia
author_facet Gallo, Luciana Guerra
Oliveira, Ana Flávia de Morais
Abrahão, Amanda Amaral
Sandoval, Leticia Assad Maia
Martins, Yure Rodrigues Araújo
Almirón, Maria
dos Santos, Fabiana Sherine Ganem
Araújo, Wildo Navegantes
de Oliveira, Maria Regina Fernandes
Peixoto, Henry Maia
author_sort Gallo, Luciana Guerra
collection PubMed
description Objective: To describe the methods used in a rapid review of the literature and to present the main epidemiological parameters that describe the transmission of SARS-Cov-2 and the illness caused by this virus, coronavirus disease 2019 (COVID-19). Methods: This is a methodological protocol that enabled a rapid review of COVID-19 epidemiological parameters. Findings: The protocol consisted of the following steps: definition of scope; eligibility criteria; information sources; search strategies; selection of studies; and data extraction. Four reviewers and three supervisors conducted this review in 40 days. Of the 1,266 studies found, 65 were included, mostly observational and descriptive in content, indicating relative homogeneity as to the quality of the evidence. The variation in the basic reproduction number, between 0.48 and 14.8; and the median of the hospitalization period, between 7.5 and 20.5 days stand out as key findings. Conclusion: We identified and synthesized 10 epidemiological parameters that may support predictive models and other rapid reviews to inform modeling of this and other future public health emergencies.
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spelling pubmed-77359862020-12-16 Ten Epidemiological Parameters of COVID-19: Use of Rapid Literature Review to Inform Predictive Models During the Pandemic Gallo, Luciana Guerra Oliveira, Ana Flávia de Morais Abrahão, Amanda Amaral Sandoval, Leticia Assad Maia Martins, Yure Rodrigues Araújo Almirón, Maria dos Santos, Fabiana Sherine Ganem Araújo, Wildo Navegantes de Oliveira, Maria Regina Fernandes Peixoto, Henry Maia Front Public Health Public Health Objective: To describe the methods used in a rapid review of the literature and to present the main epidemiological parameters that describe the transmission of SARS-Cov-2 and the illness caused by this virus, coronavirus disease 2019 (COVID-19). Methods: This is a methodological protocol that enabled a rapid review of COVID-19 epidemiological parameters. Findings: The protocol consisted of the following steps: definition of scope; eligibility criteria; information sources; search strategies; selection of studies; and data extraction. Four reviewers and three supervisors conducted this review in 40 days. Of the 1,266 studies found, 65 were included, mostly observational and descriptive in content, indicating relative homogeneity as to the quality of the evidence. The variation in the basic reproduction number, between 0.48 and 14.8; and the median of the hospitalization period, between 7.5 and 20.5 days stand out as key findings. Conclusion: We identified and synthesized 10 epidemiological parameters that may support predictive models and other rapid reviews to inform modeling of this and other future public health emergencies. Frontiers Media S.A. 2020-12-01 /pmc/articles/PMC7735986/ /pubmed/33335879 http://dx.doi.org/10.3389/fpubh.2020.598547 Text en Copyright © 2020 Gallo, Oliveira, Abrahão, Sandoval, Martins, Almirón, dos Santos, Araújo, de Oliveira and Peixoto. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Gallo, Luciana Guerra
Oliveira, Ana Flávia de Morais
Abrahão, Amanda Amaral
Sandoval, Leticia Assad Maia
Martins, Yure Rodrigues Araújo
Almirón, Maria
dos Santos, Fabiana Sherine Ganem
Araújo, Wildo Navegantes
de Oliveira, Maria Regina Fernandes
Peixoto, Henry Maia
Ten Epidemiological Parameters of COVID-19: Use of Rapid Literature Review to Inform Predictive Models During the Pandemic
title Ten Epidemiological Parameters of COVID-19: Use of Rapid Literature Review to Inform Predictive Models During the Pandemic
title_full Ten Epidemiological Parameters of COVID-19: Use of Rapid Literature Review to Inform Predictive Models During the Pandemic
title_fullStr Ten Epidemiological Parameters of COVID-19: Use of Rapid Literature Review to Inform Predictive Models During the Pandemic
title_full_unstemmed Ten Epidemiological Parameters of COVID-19: Use of Rapid Literature Review to Inform Predictive Models During the Pandemic
title_short Ten Epidemiological Parameters of COVID-19: Use of Rapid Literature Review to Inform Predictive Models During the Pandemic
title_sort ten epidemiological parameters of covid-19: use of rapid literature review to inform predictive models during the pandemic
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7735986/
https://www.ncbi.nlm.nih.gov/pubmed/33335879
http://dx.doi.org/10.3389/fpubh.2020.598547
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