Using search engine data as a tool to predict syphilis

Epidemiology

Volumn 29, Issue 4, 2018, Pages 574-578

  Young, Sean D ^a   Torrone, Elizabeth A ^b   Urata, John ^a   Aral, Sevgi O ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b CENTERS FOR DISEASE CONTROL AND PREVENTION   (United States)

Author keywords

Data science; Disease detection; Google Trends; Linear mixed model; Prediction; Primary and secondary syphilis; Social media

Indexed keywords

ARTICLE; HUMAN; INTERNET; PRIMARY SYPHILIS; PRIORITY JOURNAL; PUBLIC HEALTH SERVICE; SEARCH ENGINE; SECONDARY SYPHILIS; SYPHILIS; UNITED STATES; VALIDATION STUDY; FORECASTING; HEALTH SURVEY; INCIDENCE; PROCEDURES; SOCIAL MEDIA;

CENTERS FOR DISEASE CONTROL AND PREVENTION (U.S.); FORECASTING; HUMANS; INCIDENCE; POPULATION SURVEILLANCE; SEARCH ENGINE; SOCIAL MEDIA; SYPHILIS; UNITED STATES;

EID: 85050115825     PISSN: 10443983     EISSN: 15315487     Source Type: Journal    
DOI: 10.1097/EDE.0000000000000836     Document Type: Article

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