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.
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Nature Publishing Group
2021-01-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-020-20206-z |
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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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