Surveillance tools emerging from search engines and social media data for determining eye disease patterns

JAMA Ophthalmology

Volumn 134, Issue 9, 2016, Pages 1024-1030

  Deiner, Michael S ^a   Lietman, Thomas M ^a,b   McLeod, Stephen D ^a,b   Chodosh, James ^c   Porco, Travis C ^a,b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c HARVARD MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EYE DROPS;

ADOLESCENT; ADULT; AGED; ALLERGIC CONJUNCTIVITIS; ARTICLE; CHILD; CONJUNCTIVITIS; CONTROLLED STUDY; EYE ALLERGY; EYE DISEASE; FEMALE; GLAUCOMA; HUMAN; INFLUENZA; INTERNET; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; SEARCH ENGINE; SEASONAL VARIATION; SOCIAL MEDIA; UNITED STATES; CLINICAL TRIAL; EYE DISEASES; HEALTH SURVEY; MIDDLE AGED; MORBIDITY; MULTICENTER STUDY; OPHTHALMOLOGY; PROCEDURES; SEASON; STATISTICS AND NUMERICAL DATA; TRENDS;

ADULT; EYE DISEASES; FEMALE; HUMANS; INTERNET; MALE; MIDDLE AGED; MORBIDITY; OPHTHALMOLOGY; POPULATION SURVEILLANCE; SEARCH ENGINE; SEASONS; SOCIAL MEDIA; UNITED STATES;

EID: 84998854174     PISSN: 21686165     EISSN: None     Source Type: Journal    
DOI: 10.1001/jamaophthalmol.2016.2267     Document Type: Article

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