Forecasting influenza activity using machine-learned mobility map

Human mobility plays a central role in the spread of infectious diseases and can help in forecasting incidence. Here the authors show a comparison of multiple mobility benchmarks in forecasting influenza, and demonstrate the value of a machine-learned mobility map with global coverage at multiple sp...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Srinivasan Venkatramanan, Adam Sadilek, Arindam Fadikar, Christopher L. Barrett, Matthew Biggerstaff, Jiangzhuo Chen, Xerxes Dotiwalla, Paul Eastham, Bryant Gipson, Dave Higdon, Onur Kucuktunc, Allison Lieber, Bryan L. Lewis, Zane Reynolds, Anil K. Vullikanti, Lijing Wang, Madhav Marathe
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/c02c4522aef64826b5c7b971f6fda370
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:c02c4522aef64826b5c7b971f6fda370
record_format	dspace
spelling	oai:doaj.org-article:c02c4522aef64826b5c7b971f6fda3702021-12-02T14:10:56ZForecasting influenza activity using machine-learned mobility map10.1038/s41467-021-21018-52041-1723https://doaj.org/article/c02c4522aef64826b5c7b971f6fda3702021-02-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-21018-5https://doaj.org/toc/2041-1723Human mobility plays a central role in the spread of infectious diseases and can help in forecasting incidence. Here the authors show a comparison of multiple mobility benchmarks in forecasting influenza, and demonstrate the value of a machine-learned mobility map with global coverage at multiple spatial scales.Srinivasan VenkatramananAdam SadilekArindam FadikarChristopher L. BarrettMatthew BiggerstaffJiangzhuo ChenXerxes DotiwallaPaul EasthamBryant GipsonDave HigdonOnur KucuktuncAllison LieberBryan L. LewisZane ReynoldsAnil K. VullikantiLijing WangMadhav MaratheNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Srinivasan Venkatramanan Adam Sadilek Arindam Fadikar Christopher L. Barrett Matthew Biggerstaff Jiangzhuo Chen Xerxes Dotiwalla Paul Eastham Bryant Gipson Dave Higdon Onur Kucuktunc Allison Lieber Bryan L. Lewis Zane Reynolds Anil K. Vullikanti Lijing Wang Madhav Marathe Forecasting influenza activity using machine-learned mobility map
description	Human mobility plays a central role in the spread of infectious diseases and can help in forecasting incidence. Here the authors show a comparison of multiple mobility benchmarks in forecasting influenza, and demonstrate the value of a machine-learned mobility map with global coverage at multiple spatial scales.
format	article
author	Srinivasan Venkatramanan Adam Sadilek Arindam Fadikar Christopher L. Barrett Matthew Biggerstaff Jiangzhuo Chen Xerxes Dotiwalla Paul Eastham Bryant Gipson Dave Higdon Onur Kucuktunc Allison Lieber Bryan L. Lewis Zane Reynolds Anil K. Vullikanti Lijing Wang Madhav Marathe
author_facet	Srinivasan Venkatramanan Adam Sadilek Arindam Fadikar Christopher L. Barrett Matthew Biggerstaff Jiangzhuo Chen Xerxes Dotiwalla Paul Eastham Bryant Gipson Dave Higdon Onur Kucuktunc Allison Lieber Bryan L. Lewis Zane Reynolds Anil K. Vullikanti Lijing Wang Madhav Marathe
author_sort	Srinivasan Venkatramanan
title	Forecasting influenza activity using machine-learned mobility map
title_short	Forecasting influenza activity using machine-learned mobility map
title_full	Forecasting influenza activity using machine-learned mobility map
title_fullStr	Forecasting influenza activity using machine-learned mobility map
title_full_unstemmed	Forecasting influenza activity using machine-learned mobility map
title_sort	forecasting influenza activity using machine-learned mobility map
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/c02c4522aef64826b5c7b971f6fda370
work_keys_str_mv	AT srinivasanvenkatramanan forecastinginfluenzaactivityusingmachinelearnedmobilitymap AT adamsadilek forecastinginfluenzaactivityusingmachinelearnedmobilitymap AT arindamfadikar forecastinginfluenzaactivityusingmachinelearnedmobilitymap AT christopherlbarrett forecastinginfluenzaactivityusingmachinelearnedmobilitymap AT matthewbiggerstaff forecastinginfluenzaactivityusingmachinelearnedmobilitymap AT jiangzhuochen forecastinginfluenzaactivityusingmachinelearnedmobilitymap AT xerxesdotiwalla forecastinginfluenzaactivityusingmachinelearnedmobilitymap AT pauleastham forecastinginfluenzaactivityusingmachinelearnedmobilitymap AT bryantgipson forecastinginfluenzaactivityusingmachinelearnedmobilitymap AT davehigdon forecastinginfluenzaactivityusingmachinelearnedmobilitymap AT onurkucuktunc forecastinginfluenzaactivityusingmachinelearnedmobilitymap AT allisonlieber forecastinginfluenzaactivityusingmachinelearnedmobilitymap AT bryanllewis forecastinginfluenzaactivityusingmachinelearnedmobilitymap AT zanereynolds forecastinginfluenzaactivityusingmachinelearnedmobilitymap AT anilkvullikanti forecastinginfluenzaactivityusingmachinelearnedmobilitymap AT lijingwang forecastinginfluenzaactivityusingmachinelearnedmobilitymap AT madhavmarathe forecastinginfluenzaactivityusingmachinelearnedmobilitymap
_version_	1718391867099316224

Forecasting influenza activity using machine-learned mobility map

Ejemplares similares