Real-Time Estimation of Rt for Supporting Public-Health Policies Against COVID-19
In the absence of a consensus protocol to slow down the spread of SARS-CoV-2, policymakers need real-time indicators to support decisions in public health matters. The Effective Reproduction Number (Rt) represents the number of secondary infections generated per each case and can be dramatically mod...
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2020-12-01
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doaj-67b397e3c8764500ba1b86e6b8ccb0a72020-12-22T07:18:39ZengFrontiers Media S.A.Frontiers in Public Health2296-25652020-12-01810.3389/fpubh.2020.556689556689Real-Time Estimation of Rt for Supporting Public-Health Policies Against COVID-19Sebastián Contreras0H. Andrés Villavicencio1David Medina-Ortiz2David Medina-Ortiz3David Medina-Ortiz4Claudia P. Saavedra5Álvaro Olivera-Nappa6Álvaro Olivera-Nappa7Centre for Biotechnology and Bioengineering, Universidad de Chile, Santiago, ChileCentre for Biotechnology and Bioengineering, Universidad de Chile, Santiago, ChileCentre for Biotechnology and Bioengineering, Universidad de Chile, Santiago, ChileDepartamento de Ingeniería Química, Biotecnología y Materiales, Facultad de Ciencias Físicas y Matemáticas, Universidad de Chile, Santiago, ChileDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, United StatesLaboratorio de Microbiologia Molecular, Departamento de Ciencias de la Vida, Facultad de Ciencias de la Vida, Universidad Andres Bello, Santiago, ChileCentre for Biotechnology and Bioengineering, Universidad de Chile, Santiago, ChileDepartamento de Ingeniería Química, Biotecnología y Materiales, Facultad de Ciencias Físicas y Matemáticas, Universidad de Chile, Santiago, ChileIn the absence of a consensus protocol to slow down the spread of SARS-CoV-2, policymakers need real-time indicators to support decisions in public health matters. The Effective Reproduction Number (Rt) represents the number of secondary infections generated per each case and can be dramatically modified by applying effective interventions. However, current methodologies to calculate Rt from data remain somewhat cumbersome, thus raising a barrier between its timely calculation and application by policymakers. In this work, we provide a simple mathematical formulation for obtaining the effective reproduction number in real-time using only and directly daily official case reports, obtained by modifying the equations describing the viral spread. We numerically explore the accuracy and limitations of the proposed methodology, which was demonstrated to provide accurate, timely, and intuitive results. We illustrate the use of our methodology to study the evolution of the pandemic in different iconic countries, and to assess the efficacy and promptness of different public health interventions.https://www.frontiersin.org/articles/10.3389/fpubh.2020.556689/fullCOVID-19public-health policiesepidemiologic modelingSARS-CoV-2effective reproduction number Rt |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sebastián Contreras H. Andrés Villavicencio David Medina-Ortiz David Medina-Ortiz David Medina-Ortiz Claudia P. Saavedra Álvaro Olivera-Nappa Álvaro Olivera-Nappa |
spellingShingle |
Sebastián Contreras H. Andrés Villavicencio David Medina-Ortiz David Medina-Ortiz David Medina-Ortiz Claudia P. Saavedra Álvaro Olivera-Nappa Álvaro Olivera-Nappa Real-Time Estimation of Rt for Supporting Public-Health Policies Against COVID-19 Frontiers in Public Health COVID-19 public-health policies epidemiologic modeling SARS-CoV-2 effective reproduction number Rt |
author_facet |
Sebastián Contreras H. Andrés Villavicencio David Medina-Ortiz David Medina-Ortiz David Medina-Ortiz Claudia P. Saavedra Álvaro Olivera-Nappa Álvaro Olivera-Nappa |
author_sort |
Sebastián Contreras |
title |
Real-Time Estimation of Rt for Supporting Public-Health Policies Against COVID-19 |
title_short |
Real-Time Estimation of Rt for Supporting Public-Health Policies Against COVID-19 |
title_full |
Real-Time Estimation of Rt for Supporting Public-Health Policies Against COVID-19 |
title_fullStr |
Real-Time Estimation of Rt for Supporting Public-Health Policies Against COVID-19 |
title_full_unstemmed |
Real-Time Estimation of Rt for Supporting Public-Health Policies Against COVID-19 |
title_sort |
real-time estimation of rt for supporting public-health policies against covid-19 |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Public Health |
issn |
2296-2565 |
publishDate |
2020-12-01 |
description |
In the absence of a consensus protocol to slow down the spread of SARS-CoV-2, policymakers need real-time indicators to support decisions in public health matters. The Effective Reproduction Number (Rt) represents the number of secondary infections generated per each case and can be dramatically modified by applying effective interventions. However, current methodologies to calculate Rt from data remain somewhat cumbersome, thus raising a barrier between its timely calculation and application by policymakers. In this work, we provide a simple mathematical formulation for obtaining the effective reproduction number in real-time using only and directly daily official case reports, obtained by modifying the equations describing the viral spread. We numerically explore the accuracy and limitations of the proposed methodology, which was demonstrated to provide accurate, timely, and intuitive results. We illustrate the use of our methodology to study the evolution of the pandemic in different iconic countries, and to assess the efficacy and promptness of different public health interventions. |
topic |
COVID-19 public-health policies epidemiologic modeling SARS-CoV-2 effective reproduction number Rt |
url |
https://www.frontiersin.org/articles/10.3389/fpubh.2020.556689/full |
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