info:eu-repo/semantics/article
Google Trends (GT) related to influenza
Google Trends relacionado à influenza;
Google Trends relacionado a la influenza
Fecha
2015-06Registro en:
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
0102-311X
1678-4464
CONICET Digital
CONICET
Autor
Wiwanitkit, Viroj
Orellano, Pablo Wenceslao
Reynoso, Julieta Itati
Antman, Julián
Argibay, Osvaldo
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.