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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Detalles Bibliográficos
Autores principales: Stefan Wojcik, Avleen S. Bijral, Richard Johnston, Juan M. Lavista Ferres, Gary King, Ryan Kennedy, Alessandro Vespignani, David Lazer
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/f8ebc97d04f74a2e89bce1721f85d7b9
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Descripción
Sumario: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.