Using the Baidu Search Index to Predict the Incidence of HIV/AIDS in China.
Sci Rep
; 8(1): 9038, 2018 06 13.
Article
em En
| MEDLINE
| ID: mdl-29899360
ABSTRACT
Based on a panel of 30 provinces and a timeframe from January 2009 to December 2013, we estimate the association between monthly human immunodeficiency virus/acquired immune deficiency syndrome (HIV/AIDS) incidence and the relevant Internet search query volumes in Baidu, the most widely used search engine among the Chinese. The pooled mean group (PMG) model show that the Baidu search index (BSI) positively predicts the increase in HIV/AIDS incidence, with a 1% increase in BSI associated with a 2.1% increase in HIV/AIDS incidence on average. This study proposes a promising method to estimate and forecast the incidence of HIV/AIDS, a type of infectious disease that is culturally sensitive and highly unevenly distributed in China; the method can be taken as a complement to a traditional HIV/AIDS surveillance system.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Infecções por HIV
/
Vigilância da População
/
Síndrome da Imunodeficiência Adquirida
/
Ferramenta de Busca
/
Epidemias
Tipo de estudo:
Diagnostic_studies
/
Incidence_studies
/
Prognostic_studies
/
Risk_factors_studies
/
Screening_studies
Limite:
Humans
País como assunto:
Asia
Idioma:
En
Ano de publicação:
2018
Tipo de documento:
Article