Estimating and simulating a SIRD Model of COVID-19 for many countries, states, and cities

We use data on deaths in New York City, Madrid, Stockholm, and other world cities as well as in various U.S. states and other regions and countries to estimate, quickly and with limited data, a standard epidemiological model of COVID-19. We allow for a time-varying contact rate in order to capture b...

Descripción completa

Detalles Bibliográficos
Autores principales: Fernández-Villaverde, Jesús, Jones, Charles I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799324/
https://www.ncbi.nlm.nih.gov/pubmed/35125563
http://dx.doi.org/10.1016/j.jedc.2022.104318
_version_ 1784642044423045120
author Fernández-Villaverde, Jesús
Jones, Charles I.
author_facet Fernández-Villaverde, Jesús
Jones, Charles I.
author_sort Fernández-Villaverde, Jesús
collection PubMed
description We use data on deaths in New York City, Madrid, Stockholm, and other world cities as well as in various U.S. states and other regions and countries to estimate, quickly and with limited data, a standard epidemiological model of COVID-19. We allow for a time-varying contact rate in order to capture behavioral and policy-induced changes associated with social distancing. We simulate the model forward to consider possible scenarios for various countries, states, and cities, including the potential impact of herd immunity on re-opening.
format Online
Article
Text
id pubmed-8799324
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elsevier B.V.
record_format MEDLINE/PubMed
spelling pubmed-87993242022-01-31 Estimating and simulating a SIRD Model of COVID-19 for many countries, states, and cities Fernández-Villaverde, Jesús Jones, Charles I. J Econ Dyn Control Article We use data on deaths in New York City, Madrid, Stockholm, and other world cities as well as in various U.S. states and other regions and countries to estimate, quickly and with limited data, a standard epidemiological model of COVID-19. We allow for a time-varying contact rate in order to capture behavioral and policy-induced changes associated with social distancing. We simulate the model forward to consider possible scenarios for various countries, states, and cities, including the potential impact of herd immunity on re-opening. Elsevier B.V. 2022-07 2022-01-29 /pmc/articles/PMC8799324/ /pubmed/35125563 http://dx.doi.org/10.1016/j.jedc.2022.104318 Text en © 2022 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Fernández-Villaverde, Jesús
Jones, Charles I.
Estimating and simulating a SIRD Model of COVID-19 for many countries, states, and cities
title Estimating and simulating a SIRD Model of COVID-19 for many countries, states, and cities
title_full Estimating and simulating a SIRD Model of COVID-19 for many countries, states, and cities
title_fullStr Estimating and simulating a SIRD Model of COVID-19 for many countries, states, and cities
title_full_unstemmed Estimating and simulating a SIRD Model of COVID-19 for many countries, states, and cities
title_short Estimating and simulating a SIRD Model of COVID-19 for many countries, states, and cities
title_sort estimating and simulating a sird model of covid-19 for many countries, states, and cities
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799324/
https://www.ncbi.nlm.nih.gov/pubmed/35125563
http://dx.doi.org/10.1016/j.jedc.2022.104318
work_keys_str_mv AT fernandezvillaverdejesus estimatingandsimulatingasirdmodelofcovid19formanycountriesstatesandcities
AT jonescharlesi estimatingandsimulatingasirdmodelofcovid19formanycountriesstatesandcities

Ejemplares similares