Prefiltered component‐based greedy (PreCoG) scan method

The spatial distribution of disease cases can provide important insights into disease spread and its potential risk factors. Identifying disease clusters correctly can help us discover new risk factors and inform interventions to control and prevent the spread of disease as quickly as possible. In t...

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Veröffentlicht in:	Statistics in medicine Jg. 43; H. 21; S. 4113 - 4130
Hauptverfasser:	French, Joshua P., Meysami, Mohammad, Lipner, Ettie M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken, USA John Wiley & Sons, Inc 20.09.2024 Wiley Subscription Services, Inc
Schlagworte:	Algorithms candidate zones Cluster Analysis Computer Simulation disease cluster identification disease clusters Epidemiology Health surveillance Humans Models, Statistical public health Risk Factors Sensitivity analysis Spatial analysis spatial scan method Statistical methods disease clusters disease cluster identification spatial scan method candidate zones public health
ISSN:	0277-6715, 1097-0258, 1097-0258
Online-Zugang:	Volltext
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