title: Dengue disease outbreak detection.
abstract: Early detection of outbreak of a disease may help in timely and effective public health interventions. Our motivation for this work is to assist EHD planning officer to analyze the incidence data and based on it declare whether there is an outbreak or not. In this paper, we develop ensemble of multiple techniques for detecting dengue disease outbreak. These techniques are applied to dengue incidence data from Singapore and results are summarized.
authors.affiliation: IBM Research - India, Bangalore.
authors.forename: Pankaj
authors.initials: P
authors.lastname: Dayama
authors.affiliation: IBM Research - India, Bangalore.
authors.forename: Kameshwaran
authors.initials: K
authors.lastname: Sampath
mesh_terms: D003627:Data Interpretation, Statistical; D057225:Data Mining / Q000379:methods*; D003715:Dengue / Q000453:epidemiology* / Q000517:prevention & control*; D004196:Disease Outbreaks / Q000517:prevention & control* / Q000706:statistics & numerical data*; D006801:Humans; D015994:Incidence; D015995:Prevalence; D016016:Proportional Hazards Models; D012044:Regression Analysis; D018570:Risk Assessment / Q000379:methods; D018571:Sentinel Surveillance; D012846:Singapore / Q000453:epidemiology