Advances in using Internet searches to track dengue

PLoS Computational Biology

Volumn 13, Issue 7, 2017, Pages

  Yang, Shihao ^a   Kou, Samuel C ^a   Lu, Fred ^b   Brownstein, John S ^b,c   Brooke, Nicholas ^d   Santillana, Mauricio ^b,c  

^a HARVARD UNIVERSITY   (United States)

^b BOSTON CHILDREN S HOSPITAL   (United States)

^c HARVARD MEDICAL SCHOOL   (United States)

^d The Synergist   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

AFFECTED AREA; DATA-SOURCE; GOOGLE+; INTERNET BASED; INTERNET SEARCHES; ME-XICO; METHODOLOGICAL FRAMEWORKS; MOSQUITO-BORNE DISEASE; NEAR-REAL TIME; TIMELY IDENTIFICATION;

SEARCH ENGINES;

ARTICLE; BRAZIL; COMPUTER ANALYSIS; DENGUE; DISEASE SURVEILLANCE; DISEASE TRANSMISSION; EPIDEMIC; HUMAN; INCIDENCE; INFORMATION PROCESSING; INTERNET; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MEXICO; NONHUMAN; SINGAPORE; TAIWAN; THAILAND; BIOLOGY; FACTUAL DATABASE; HEALTH SURVEY; HISTORY; SEARCH ENGINE; SOUTHEAST ASIA; TRANSMISSION;

ASIA, SOUTHEASTERN; BRAZIL; COMPUTATIONAL BIOLOGY; DATABASES, FACTUAL; DENGUE; HISTORY, 20TH CENTURY; HISTORY, 21ST CENTURY; HUMANS; INTERNET; MEXICO; POPULATION SURVEILLANCE; SEARCH ENGINE;

EID: 85026647975     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1005607     Document Type: Article

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