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

Ruonan Huang,Qingpeng Zhang,Lei Zhang,M Kumi Smith,Qibin Duan,Weiming Tang,Jinghua Li,Ganfeng Luo,Huachun Zou

doi:10.1136/bmjopen-2019-036098

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

Ruonan Huang, Qingpeng Zhang + Show 7 more

Open Access

https://doi.org/10.1136/bmjopen-2019-036098

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Journal: BMJ Open	Publication Date: Mar 1, 2020
Citations: 18	License type: open-access

Affiliation: Sun Yat-sen University, City University of Hong Kong, Xi'an Jiaotong University, Monash University, Melbourne Sexual Health Centre, Alfred Health, Zhengzhou University, University of Minnesota, Queensland University of Technology, UNSW Sydney, Southern Medical University

#Gonorrhea In China #Vector Autoregressive + Show 8 more

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ObjectivesInternet 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...

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