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https://doi.org/10.3233/978-1-...

Part of book or chapter of book . 2014 . Peer-reviewed

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https://pubmed.ncbi.nlm.nih.go...

Article . 2015

Data sources: Europe PubMed Central

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Dengue Disease Outbreak Detection

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article 01 Jan 2014Publisher:IOS Press

Authors: Pankaj, Dayama; Kameshwaran, Sampath;

doi: 10.3233/978-1-61499-432-9-1105

pmid: 25160360

Dengue Disease Outbreak Detection

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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.

Keywords

Singapore, Incidence, Risk Assessment, Disease Outbreaks, Dengue, Data Interpretation, Statistical, Prevalence, Data Mining, Humans, Regression Analysis, Sentinel Surveillance, Proportional Hazards Models

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average