A data-driven epidemiological prediction method for dengue outbreaks using local and remote sensing data

BMC Medical Informatics and Decision Making

Volumn 12, Issue 1, 2012, Pages

  Buczak, Anna L ^a   Koshute, Phillip T ^a   Babin, Steven M ^a   Feighner, Brian H ^a   Lewis, Sheryl H ^a  

^a JOHNS HOPKINS UNIVERSITY APPLIED PHYSICS LABORATORY   (United States)

Author keywords

Association rule mining; Dengue fever; Fuzzy logic; Prediction; Predictor variables

Indexed keywords

ARTICLE; DENGUE; EPIDEMIC; EPIDEMIOLOGICAL MONITORING; FORECASTING; FUZZY LOGIC; HUMAN; METHODOLOGY; PERU; REMOTE SENSING; SEASON; SOCIOECONOMICS; TEMPERATURE;

DENGUE; DISEASE OUTBREAKS; EPIDEMIOLOGICAL MONITORING; FORECASTING; FUZZY LOGIC; HUMANS; PERU; REMOTE SENSING TECHNOLOGY; SEASONS; SOCIOECONOMIC FACTORS; TEMPERATURE;

MLCS; MLOWN;

EID: 84868251885     PISSN: None     EISSN: 14726947     Source Type: Journal    
DOI: 10.1186/1472-6947-12-124     Document Type: Article

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