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R(0) and R(e) of COVID-19: Can We Predict When the Pandemic Outbreak will be Contained?
R(0) (R naught) is the basic reproduction number, also known as basic reproduction ratio or rate which is an epidemiological metric used to measure the transmissibility of infectious agents. R(0) is a derivative of the following variables—the duration of infectivity after the patient gets infected,...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Jaypee Brothers Medical Publishers
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7751056/ https://www.ncbi.nlm.nih.gov/pubmed/33384521 http://dx.doi.org/10.5005/jp-journals-10071-23649 |
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author | Achaiah, Nithya C Subbarajasetty, Sindhu B Shetty, Rajesh M |
author_facet | Achaiah, Nithya C Subbarajasetty, Sindhu B Shetty, Rajesh M |
author_sort | Achaiah, Nithya C |
collection | PubMed |
description | R(0) (R naught) is the basic reproduction number, also known as basic reproduction ratio or rate which is an epidemiological metric used to measure the transmissibility of infectious agents. R(0) is a derivative of the following variables—the duration of infectivity after the patient gets infected, the likelihood of transmission of infection per contact between a susceptible person and an infectious individual, and the contact rate. R(0) is usually estimated retrospectively from serial epidemiological data or using theoretical mathematical models. Epidemiologists can calculate R(0) using contact-tracing data, the most common method is to use cumulative incidence data. When mathematical models are used, R(0) values are estimated using ordinary differential equations. R(0) of COVID-19 as initially estimated by the World Health Organization (WHO) was between 1.4 and 2.4. The forecast is of critical importance as it will help the governments to have an estimate as well as strategize quickly to avoid any unfavorable condition. HOW TO CITE THIS ARTICLE: Achaiah NC, Subbarajasetty SB, Shetty RM. R(0) and R(e) of COVID-19: Can We Predict When the Pandemic Outbreak will be Contained? Indian J Crit Care Med 2020;24(11):1125–1127. |
format | Online Article Text |
id | pubmed-7751056 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Jaypee Brothers Medical Publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-77510562020-12-30 R(0) and R(e) of COVID-19: Can We Predict When the Pandemic Outbreak will be Contained? Achaiah, Nithya C Subbarajasetty, Sindhu B Shetty, Rajesh M Indian J Crit Care Med Review Article R(0) (R naught) is the basic reproduction number, also known as basic reproduction ratio or rate which is an epidemiological metric used to measure the transmissibility of infectious agents. R(0) is a derivative of the following variables—the duration of infectivity after the patient gets infected, the likelihood of transmission of infection per contact between a susceptible person and an infectious individual, and the contact rate. R(0) is usually estimated retrospectively from serial epidemiological data or using theoretical mathematical models. Epidemiologists can calculate R(0) using contact-tracing data, the most common method is to use cumulative incidence data. When mathematical models are used, R(0) values are estimated using ordinary differential equations. R(0) of COVID-19 as initially estimated by the World Health Organization (WHO) was between 1.4 and 2.4. The forecast is of critical importance as it will help the governments to have an estimate as well as strategize quickly to avoid any unfavorable condition. HOW TO CITE THIS ARTICLE: Achaiah NC, Subbarajasetty SB, Shetty RM. R(0) and R(e) of COVID-19: Can We Predict When the Pandemic Outbreak will be Contained? Indian J Crit Care Med 2020;24(11):1125–1127. Jaypee Brothers Medical Publishers 2020-11 /pmc/articles/PMC7751056/ /pubmed/33384521 http://dx.doi.org/10.5005/jp-journals-10071-23649 Text en Copyright © 2020; Jaypee Brothers Medical Publishers (P) Ltd. © The Author(s). 2020 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and non-commercial reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Review Article Achaiah, Nithya C Subbarajasetty, Sindhu B Shetty, Rajesh M R(0) and R(e) of COVID-19: Can We Predict When the Pandemic Outbreak will be Contained? |
title | R(0) and R(e) of COVID-19: Can We Predict When the Pandemic Outbreak will be Contained? |
title_full | R(0) and R(e) of COVID-19: Can We Predict When the Pandemic Outbreak will be Contained? |
title_fullStr | R(0) and R(e) of COVID-19: Can We Predict When the Pandemic Outbreak will be Contained? |
title_full_unstemmed | R(0) and R(e) of COVID-19: Can We Predict When the Pandemic Outbreak will be Contained? |
title_short | R(0) and R(e) of COVID-19: Can We Predict When the Pandemic Outbreak will be Contained? |
title_sort | r(0) and r(e) of covid-19: can we predict when the pandemic outbreak will be contained? |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7751056/ https://www.ncbi.nlm.nih.gov/pubmed/33384521 http://dx.doi.org/10.5005/jp-journals-10071-23649 |
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