Artículo
Google Trends (GT) related to influenza
Título:
Google Trends relacionado à influenza;
Google Trends relacionado a la influenza
Google Trends relacionado a la influenza
Wiwanitkit, Viroj; Orellano, Pablo Wenceslao
; Reynoso, Julieta Itati; Antman, Julián; Argibay, Osvaldo
Fecha de publicación:
06/2015
Editorial:
Cadernos Saude Publica
Revista:
Cadernos de Saúde Pública
ISSN:
0102-311X
e-ISSN:
1678-4464
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
The recent paper on Using Google Trends (GT) to Estimate the Incidence of Influenza-Like Illness in Argentina 1 is very interesting. Orellano et al. studied Google Flu Trends (GFT) and GT with a conclusion regarding “the utility of GT to complement influenza surveillance”. Indeed, the usefulness of GFT and GT has been mentioned in some earlier reports 2,3. However, as a computational model, there are several things to be considered in the simulation 4. Under- or over-estimation can be expected and this is still the present problem in using the Google system for predicting influenza 4. There is a need for modifications of GT and GFT into a more specific tool that is appropriate for each context. A good example of this is the development of FluBreaks by Pervaiz et al.
Palabras clave:
Human Influenza
,
Epidemiologic Models
,
Incidence
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Articulos(SEDE CENTRAL)
Articulos de SEDE CENTRAL
Articulos de SEDE CENTRAL
Citación
Wiwanitkit, Viroj; Orellano, Pablo Wenceslao; Reynoso, Julieta Itati; Antman, Julián; Argibay, Osvaldo; Google Trends (GT) related to influenza; Cadernos Saude Publica; Cadernos de Saúde Pública; 31; 6; 6-2015; 1334-1335
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