A simulation study for geographic cluster detection analysis on population-based health survey data using spatial scan statistics
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1476-072X
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
A simulation study for geographic cluster detection analysis on population-based health survey data using spatial scan statistics ; volume:21 ; number:1 ; day:9 ; month:9 ; year:2022 ; pages:1-8 ; date:12.2022
International journal of health geographics ; 21, Heft 1 (9.9.2022), 1-8, 12.2022
- Creator
-
Moon, Jisu
Jung, Inkyung
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s12942-022-00311-6
- URN
-
urn:nbn:de:101:1-2022120409201542309085
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:24 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Moon, Jisu
- Jung, Inkyung
- SpringerLink (Online service)
Other Objects (12)
Scan statistics
Scan statistics and applications
Scan statistics : methods and applications
Using Gini coefficient to determining optimal cluster reporting sizes for spatial scan statistics
Using geographic information systems and spatial and space-time scan statistics for a population-based risk analysis of the 2002 equine West Nile epidemic in six contiguous regions of Texas
Cluster statistics and gene expression analysis
Fine scale Spatial-temporal cluster analysis for the infection risk of Schistosomiasis japonica using space-time scan statistics
A note on generalized Genome Scan Meta-Analysis statistics
Estimating spatial disease rates using health statistics without geographic identifiers
Correlation length of magnetosheath fluctuations: Cluster statistics
EpiScanGIS: an online geographic surveillance system for meningococcal disease
Geographic pair matching in large-scale cluster randomized trials
Scan statistics
Scan statistics and applications
Scan statistics : methods and applications
Using Gini coefficient to determining optimal cluster reporting sizes for spatial scan statistics
Using geographic information systems and spatial and space-time scan statistics for a population-based risk analysis of the 2002 equine West Nile epidemic in six contiguous regions of Texas
Cluster statistics and gene expression analysis
Fine scale Spatial-temporal cluster analysis for the infection risk of Schistosomiasis japonica using space-time scan statistics
A note on generalized Genome Scan Meta-Analysis statistics
Estimating spatial disease rates using health statistics without geographic identifiers
Correlation length of magnetosheath fluctuations: Cluster statistics
EpiScanGIS: an online geographic surveillance system for meningococcal disease
Geographic pair matching in large-scale cluster randomized trials
Scan statistics
Scan statistics and applications
Scan statistics : methods and applications
Using Gini coefficient to determining optimal cluster reporting sizes for spatial scan statistics
Using geographic information systems and spatial and space-time scan statistics for a population-based risk analysis of the 2002 equine West Nile epidemic in six contiguous regions of Texas
Cluster statistics and gene expression analysis
Fine scale Spatial-temporal cluster analysis for the infection risk of Schistosomiasis japonica using space-time scan statistics
A note on generalized Genome Scan Meta-Analysis statistics
Estimating spatial disease rates using health statistics without geographic identifiers
Correlation length of magnetosheath fluctuations: Cluster statistics
EpiScanGIS: an online geographic surveillance system for meningococcal disease