Using Baidu search index to monitor and predict newly diagnosed cases of HIV/AIDS, syphilis and gonorrhea in China: estimates from a vector autoregressive (VAR) model

OBJECTIVES: Internet search engine data have been widely used to monitor and predict infectious diseases. Existing studies have found correlations between search data and HIV/AIDS epidemics. We aimed to extend the literature through exploring the feasibility of using search data to monitor and predi...

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Detalles Bibliográficos
Autores principales: Huang, Ruonan, Luo, Ganfeng, Duan, Qibin, Zhang, Lei, Zhang, Qingpeng, Tang, Weiming, Smith, M. Kumi, Li, Jinghua, Zou, Huachun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Epidemiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7202716/
https://www.ncbi.nlm.nih.gov/pubmed/32209633
http://dx.doi.org/10.1136/bmjopen-2019-036098

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7202716/
https://www.ncbi.nlm.nih.gov/pubmed/32209633
http://dx.doi.org/10.1136/bmjopen-2019-036098

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