About: Comparing early outbreak detection algorithms based on their optimized parameter values

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Comparing early outbreak detection algorithms based on their optimized parameter values
Creator	Seale, Holly Wang, Quanyi Cheng, He Dou, Xiangfeng He, Xiong Li, Su Luan, Rongsheng Pang, Xinghuo Wang, Xiaoli Zeng, Daniel
Source	Elsevier; Medline; PMC
abstract	BACKGROUND: Many researchers have evaluated the performance of outbreak detection algorithms with recommended parameter values. However, the influence of parameter values on algorithm performance is often ignored. METHODS: Based on reported case counts of bacillary dysentery from 2005 to 2007 in Beijing, semi-synthetic datasets containing outbreak signals were simulated to evaluate the performance of five outbreak detection algorithms. Parameters’ values were optimized prior to the evaluation. RESULTS: Differences in performances were observed as parameter values changed. Of the five algorithms, space–time permutation scan statistics had a specificity of 99.9% and a detection time of less than half a day. The exponential weighted moving average exhibited the shortest detection time of 0.1 day, while the modified C1, C2 and C3 exhibited a detection time of close to one day. CONCLUSION: The performance of these algorithms has a correlation to their parameter values, which may affect the performance evaluation.
has issue date	2009-08-13(xsd:dateTime)
bibo:doi	10.1016/j.jbi.2009.08.003
bibo:pmid	19683069
has license	no-cc
sha1sum (hex)	5f36256d60a061d36f3f4a0c22e16e1ffb4a535b
schema:url	https://doi.org/10.1016/j.jbi.2009.08.003
resource representing a document's title	Comparing early outbreak detection algorithms based on their optimized parameter values
has PubMed Central identifier	PMC7185865
has PubMed identifier	19683069
schema:publication	J Biomed Inform
resource representing a document's body	covid:5f36256d60a061d36f3f4a0c22e16e1ffb4a535b#body_text
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