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K-scan for anomaly detection in disease surveillance
Ji Meng Loh
Research output
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Contribution to journal
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Article
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peer-review
8
Scopus citations
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Dive into the research topics of 'K-scan for anomaly detection in disease surveillance'. Together they form a unique fingerprint.
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Keyphrases
Inhomogeneous K-function
100%
Anomaly Detection
100%
Incidence Rate
100%
Disease Surveillance
100%
Spatially Variable
66%
Intensity Function
66%
Dead Birds
66%
Scanning Method
33%
Simulation Study
33%
Active Research
33%
Point Pattern
33%
Neighboring Points
33%
High Incidence
33%
Environmental Characteristics
33%
Population Characteristics
33%
Non-homogeneous Poisson Process
33%
Parametric Bootstrap
33%
SaTScan
33%
Spatial Scan Statistic
33%
Disease Location
33%
Disease Incidence
33%
Disease Pattern
33%
Engineering
Anomaly Detection
100%
K Function
100%
Intensity Function
66%
Active Research
33%
Poisson Process
33%
Bottom-Up Approach
33%
Mathematics
Incidence Rate
100%
intensity function λ
66%
Simulation Study
33%
Bootstrap Approach
33%
Parametric Bootstrap
33%
Inhomogeneous Poisson Process
33%
Prior Time Point
33%
Scan Statistics
33%