Optimizing respiratory virus surveillance networks using uncertainty propagation

Lack of a widespread surveillance network hampers accurate infectious disease forecasting. Here the authors provide a framework to optimize the selection of surveillance site locations and show that accurate forecasting of respiratory diseases for locations without surveillance is feasible.

Guardado en:

Detalles Bibliográficos
Autores principales:	Sen Pei, Xian Teng, Paul Lewis, Jeffrey Shaman
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/bd001cfa88104dd3ba7885b7b337e01a
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:bd001cfa88104dd3ba7885b7b337e01a
record_format	dspace
spelling	oai:doaj.org-article:bd001cfa88104dd3ba7885b7b337e01a2021-12-02T15:22:39ZOptimizing respiratory virus surveillance networks using uncertainty propagation10.1038/s41467-020-20399-32041-1723https://doaj.org/article/bd001cfa88104dd3ba7885b7b337e01a2021-01-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-20399-3https://doaj.org/toc/2041-1723Lack of a widespread surveillance network hampers accurate infectious disease forecasting. Here the authors provide a framework to optimize the selection of surveillance site locations and show that accurate forecasting of respiratory diseases for locations without surveillance is feasible.Sen PeiXian TengPaul LewisJeffrey ShamanNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Sen Pei Xian Teng Paul Lewis Jeffrey Shaman Optimizing respiratory virus surveillance networks using uncertainty propagation
description	Lack of a widespread surveillance network hampers accurate infectious disease forecasting. Here the authors provide a framework to optimize the selection of surveillance site locations and show that accurate forecasting of respiratory diseases for locations without surveillance is feasible.
format	article
author	Sen Pei Xian Teng Paul Lewis Jeffrey Shaman
author_facet	Sen Pei Xian Teng Paul Lewis Jeffrey Shaman
author_sort	Sen Pei
title	Optimizing respiratory virus surveillance networks using uncertainty propagation
title_short	Optimizing respiratory virus surveillance networks using uncertainty propagation
title_full	Optimizing respiratory virus surveillance networks using uncertainty propagation
title_fullStr	Optimizing respiratory virus surveillance networks using uncertainty propagation
title_full_unstemmed	Optimizing respiratory virus surveillance networks using uncertainty propagation
title_sort	optimizing respiratory virus surveillance networks using uncertainty propagation
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/bd001cfa88104dd3ba7885b7b337e01a
work_keys_str_mv	AT senpei optimizingrespiratoryvirussurveillancenetworksusinguncertaintypropagation AT xianteng optimizingrespiratoryvirussurveillancenetworksusinguncertaintypropagation AT paullewis optimizingrespiratoryvirussurveillancenetworksusinguncertaintypropagation AT jeffreyshaman optimizingrespiratoryvirussurveillancenetworksusinguncertaintypropagation
_version_	1718387399343472640

Optimizing respiratory virus surveillance networks using uncertainty propagation

Ejemplares similares