Using internet search data to predict new HIV diagnoses in China: A modelling study

BMJ Open

Volumn 8, Issue 10, 2018, Pages

  Zhang, Qingpeng ^a,b   Chai, Yi ^a,c   Li, Xiaoming ^d   Young, Sean D ^e   Zhou, Jiaqi ^a  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^b City University of Hong Kong Shenzhen Research Institute ^*  (Hong Kong)

^c UNIVERSITY OF HONG KONG   (Hong Kong)

^d UNIVERSITY OF SOUTH CAROLINA   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

health informatics; internet; predictive model; search query; surveillance

Indexed keywords

ACCESS TO INFORMATION; ARTICLE; CHINA; FEASIBILITY STUDY; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; INTERNET; PREDICTION; SEARCH ENGINE; STATISTICAL MODEL; BAYES THEOREM; FORECASTING; PREVALENCE;

BAYES THEOREM; CHINA; FORECASTING; HIV INFECTIONS; HUMANS; INTERNET; MODELS, STATISTICAL; PREVALENCE; SEARCH ENGINE;

EID: 85055079245     PISSN: None     EISSN: 20446055     Source Type: Journal    
DOI: 10.1136/bmjopen-2017-018335     Document Type: Article

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