Google Flu Trends--the initial application of big data in public health / 中华预防医学杂志
Chinese Journal of Preventive Medicine
;
(12): 581-584, 2015.
Article
Dans Chinois
| WPRIM
| ID: wpr-270035
ABSTRACT
Google Flu Trends (GFT) was the first application of big data in the public health field. GFT was open online in 2009 and attracted worldwide attention immediately. However, GFT failed catching the 2009 pandemic H1N1 and kept overestimating the intensity of influenza-like illness in the 2012-2014 season in the United States. GFT model has been updated for three times since 2009, making its prediction bias controlled. Here, we summarized the mechanism GFT worked, the strategy GFT used to update, and its influence on public health.
Texte intégral:
Disponible
Indice:
WPRIM (Pacifique occidental)
Sujet Principal:
États-Unis
/
Surveillance de la population
/
Santé publique
/
Épidémies de maladies
/
Statistiques comme sujet
/
Internet
/
Grippe humaine
/
Sous-type H1N1 du virus de la grippe A
Type d'étude:
Étude pronostique
/
Étude de dépistage
Limites du sujet:
Humains
Pays comme sujet:
Amérique du Nord
langue:
Chinois
Texte intégral:
Chinese Journal of Preventive Medicine
Année:
2015
Type:
Article
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