Predicting new diagnoses of HIV infection using internet search engine data

Clinical Infectious Diseases

Volumn 56, Issue 9, 2013, Pages 1352-1353

  Jena, Anupam B ^a,b,c   Karaca Mandic, Pinar ^d   Weaver, Lesley ^d   Seabury, Seth A ^e  

^a HARVARD MEDICAL SCHOOL   (United States)

^b MASSACHUSETTS GENERAL HOSPITAL   (United States)

^c NATIONAL BUREAU OF ECONOMIC RESEARCH   (United States)

^d UNIVERSITY OF MINNESOTA   (United States)

^e RAND CORPORATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DISEASE CONTROL; FOOD POISONING; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; INCIDENCE; INTERNET; LETTER; PREDICTION; PRIORITY JOURNAL; PUBLIC HEALTH; SEARCH ENGINE; UNITED STATES;

EPIDEMIOLOGIC METHODS; HIV INFECTIONS; HUMANS; INCIDENCE; INTERNET; SEARCH ENGINE; UNITED STATES;

EID: 84875991139     PISSN: 10584838     EISSN: 15376591     Source Type: Journal    
DOI: 10.1093/cid/cit022     Document Type: Letter

References (4)

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2. Brownstein JS, Freifeld CC, Madoff LC. Digital disease detection-harnessing the Web for public health surveillance. N Engl J Med 2009; 360:2153-5, 2157.
3. Cook S, Conrad C, Fowlkes AL, Mohebbi MH. Assessing Google flu trends performance in the United States during the 2009 influenza virus A (H1N1) pandemic. PLoS One 2011; 6:e23610.
4. Carneiro HA, Mylonakis E. Google Trends: a web-based tool for real-time surveillance of disease outbreaks. Clin Infect Dis 2009; 49:1557-64.