Optimal, near-optimal, and robust epidemic control

The COVID-19 pandemic has demonstrated the need for non-pharmaceutical epidemic mitigation strategies that can be effective even if they are limited in duration. Here, the authors derive analytically optimal and near-optimal time-limited strategies for limiting the epidemic peak in the Susceptible-I...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Dylan H. Morris, Fernando W. Rossine, Joshua B. Plotkin, Simon A. Levin
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Astrophysics QB460-466 Physics QC1-999
Acceso en línea:	https://doaj.org/article/0b357ff47ccb47a6ade860a79c300dba
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:0b357ff47ccb47a6ade860a79c300dba
record_format	dspace
spelling	oai:doaj.org-article:0b357ff47ccb47a6ade860a79c300dba2021-12-02T16:45:10ZOptimal, near-optimal, and robust epidemic control10.1038/s42005-021-00570-y2399-3650https://doaj.org/article/0b357ff47ccb47a6ade860a79c300dba2021-04-01T00:00:00Zhttps://doi.org/10.1038/s42005-021-00570-yhttps://doaj.org/toc/2399-3650The COVID-19 pandemic has demonstrated the need for non-pharmaceutical epidemic mitigation strategies that can be effective even if they are limited in duration. Here, the authors derive analytically optimal and near-optimal time-limited strategies for limiting the epidemic peak in the Susceptible-Infectious-Recovered model and show that, due to the sensitivity of such strategies to implementation errors, timely action is fundamental to non-pharmaceutical disease control.Dylan H. MorrisFernando W. RossineJoshua B. PlotkinSimon A. LevinNature PortfolioarticleAstrophysicsQB460-466PhysicsQC1-999ENCommunications Physics, Vol 4, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Astrophysics QB460-466 Physics QC1-999
spellingShingle	Astrophysics QB460-466 Physics QC1-999 Dylan H. Morris Fernando W. Rossine Joshua B. Plotkin Simon A. Levin Optimal, near-optimal, and robust epidemic control
description	The COVID-19 pandemic has demonstrated the need for non-pharmaceutical epidemic mitigation strategies that can be effective even if they are limited in duration. Here, the authors derive analytically optimal and near-optimal time-limited strategies for limiting the epidemic peak in the Susceptible-Infectious-Recovered model and show that, due to the sensitivity of such strategies to implementation errors, timely action is fundamental to non-pharmaceutical disease control.
format	article
author	Dylan H. Morris Fernando W. Rossine Joshua B. Plotkin Simon A. Levin
author_facet	Dylan H. Morris Fernando W. Rossine Joshua B. Plotkin Simon A. Levin
author_sort	Dylan H. Morris
title	Optimal, near-optimal, and robust epidemic control
title_short	Optimal, near-optimal, and robust epidemic control
title_full	Optimal, near-optimal, and robust epidemic control
title_fullStr	Optimal, near-optimal, and robust epidemic control
title_full_unstemmed	Optimal, near-optimal, and robust epidemic control
title_sort	optimal, near-optimal, and robust epidemic control
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/0b357ff47ccb47a6ade860a79c300dba
work_keys_str_mv	AT dylanhmorris optimalnearoptimalandrobustepidemiccontrol AT fernandowrossine optimalnearoptimalandrobustepidemiccontrol AT joshuabplotkin optimalnearoptimalandrobustepidemiccontrol AT simonalevin optimalnearoptimalandrobustepidemiccontrol
_version_	1718383496031895552

Optimal, near-optimal, and robust epidemic control

Ejemplares similares