Influence of spatial resolution on space-time disease cluster detection

Utilizing highly precise spatial resolutions within disease outbreak detection, such as the patients' address, is most desirable as this provides the actual residential location of the infected individual(s). However, this level of precision is not always readily available or only available for...

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Veröffentlicht in:	PloS one 2012-10, Vol.7 (10), p.e48036-e48036
Hauptverfasser:	Jones, Stephen G, Kulldorff, Martin
Format:	Artikel
Sprache:	eng
Schlagworte:	Biology Blue Cross Blue Shield Insurance Plans - statistics & numerical data Centroids Cluster Analysis Clusters Communicable Diseases - classification Communicable Diseases - diagnosis Communicable Diseases - epidemiology Computer Science Data management Data security Datasets Disease control Disease Outbreaks - statistics & numerical data Epidemics Geography Geospatial data Health insurance Health risks Humans Infections Infectious diseases Information sharing Lung Diseases - classification Lung Diseases - diagnosis Lung Diseases - epidemiology Lungs Masking Mathematics Medical records Medicine Outbreaks Permutations Population Population Surveillance - methods Privacy Public health Reproducibility of Results Researchers Residential location Respiratory Tract Infections - classification Respiratory Tract Infections - diagnosis Respiratory Tract Infections - epidemiology Risk Sensitivity Sensitivity analysis Spacetime Spatial Analysis Spatial data Spatial resolution Statistical analysis Studies Tennessee - epidemiology Time Factors Virus Diseases - classification Virus Diseases - diagnosis Virus Diseases - epidemiology Zoonoses
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