Survey data and human computation for improved flu tracking

Digital trace data from search engines lacks information about the experiences of the individuals generating the data. Here the authors link search data and human computation to build a tracking model of influenza-like illness.

Bibliographic Details
Main Authors: Stefan Wojcik, Avleen S. Bijral, Richard Johnston, Juan M. Lavista Ferres, Gary King, Ryan Kennedy, Alessandro Vespignani, David Lazer
Format: Article
Language:English
Published: Nature Publishing Group 2021-01-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-20206-z
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spelling doaj-f8ebc97d04f74a2e89bce1721f85d7b92021-01-10T12:19:42ZengNature Publishing GroupNature Communications2041-17232021-01-011211810.1038/s41467-020-20206-zSurvey data and human computation for improved flu trackingStefan Wojcik0Avleen S. Bijral1Richard Johnston2Juan M. Lavista Ferres3Gary King4Ryan Kennedy5Alessandro Vespignani6David Lazer7TwitterMicrosoft, One Microsoft WayMicrosoft, One Microsoft WayMicrosoft, One Microsoft WayHarvard UniversityUniversity of HoustonNortheastern UniversityHarvard UniversityDigital trace data from search engines lacks information about the experiences of the individuals generating the data. Here the authors link search data and human computation to build a tracking model of influenza-like illness.https://doi.org/10.1038/s41467-020-20206-z
collection DOAJ
language English
format Article
sources DOAJ
author Stefan Wojcik
Avleen S. Bijral
Richard Johnston
Juan M. Lavista Ferres
Gary King
Ryan Kennedy
Alessandro Vespignani
David Lazer
spellingShingle Stefan Wojcik
Avleen S. Bijral
Richard Johnston
Juan M. Lavista Ferres
Gary King
Ryan Kennedy
Alessandro Vespignani
David Lazer
Survey data and human computation for improved flu tracking
Nature Communications
author_facet Stefan Wojcik
Avleen S. Bijral
Richard Johnston
Juan M. Lavista Ferres
Gary King
Ryan Kennedy
Alessandro Vespignani
David Lazer
author_sort Stefan Wojcik
title Survey data and human computation for improved flu tracking
title_short Survey data and human computation for improved flu tracking
title_full Survey data and human computation for improved flu tracking
title_fullStr Survey data and human computation for improved flu tracking
title_full_unstemmed Survey data and human computation for improved flu tracking
title_sort survey data and human computation for improved flu tracking
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2021-01-01
description Digital trace data from search engines lacks information about the experiences of the individuals generating the data. Here the authors link search data and human computation to build a tracking model of influenza-like illness.
url https://doi.org/10.1038/s41467-020-20206-z
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