Influence of spatial resolution on space-time disease cluster detection.

<h4>Background</h4>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...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Stephen G Jones, Martin Kulldorff
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/fe0dec6f18764c7c995dc12573f95a59
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:fe0dec6f18764c7c995dc12573f95a59
record_format	dspace
spelling	oai:doaj.org-article:fe0dec6f18764c7c995dc12573f95a592021-11-18T08:11:16ZInfluence of spatial resolution on space-time disease cluster detection.1932-620310.1371/journal.pone.0048036https://doaj.org/article/fe0dec6f18764c7c995dc12573f95a592012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23110167/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>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 purchase, and when utilized, increases the risk of exposing protected health information. Aggregating data to less precise scales (e.g., ZIP code or county centroids) may mitigate this risk but at the expense of potentially masking smaller isolated high risk areas.<h4>Methods</h4>To experimentally examine the effect of spatial data resolution on space-time cluster detection, we extracted administrative medical claims data for 122500 viral lung episodes occurring during 2007-2010 in Tennessee. We generated 10000 spatial datasets with varying cluster location, size and intensity at the address-level. To represent spatial data aggregation (i.e., reduced resolution), we then created 10000 corresponding datasets both at the ZIP code and county level for a total of 30000 datasets. Using the space-time permutation scan statistic and the SaTScan™ cluster software, we evaluated statistical power, sensitivity and positive predictive values of outbreak detection when using exact address locations compared to ZIP code and county level aggregations.<h4>Results</h4>The power to detect disease outbreaks did not largely diminish when using spatially aggregated data compared to more precise address information. However, aggregations negatively impacted the ability to more accurately determine the exact spatial location of the outbreak, particularly in smaller clusters (<800 km²).<h4>Conclusions</h4>Spatial aggregations do not necessitate a loss of power or sensitivity; rather, the relationship is more complex and involves simultaneously considering relative risk within the cluster and cluster size. The likelihood of spatially over-estimating outbreaks by including geographical areas outside the actual disease cluster increases with aggregated data.Stephen G JonesMartin KulldorffPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 10, p e48036 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Stephen G Jones Martin Kulldorff Influence of spatial resolution on space-time disease cluster detection.
description	<h4>Background</h4>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 purchase, and when utilized, increases the risk of exposing protected health information. Aggregating data to less precise scales (e.g., ZIP code or county centroids) may mitigate this risk but at the expense of potentially masking smaller isolated high risk areas.<h4>Methods</h4>To experimentally examine the effect of spatial data resolution on space-time cluster detection, we extracted administrative medical claims data for 122500 viral lung episodes occurring during 2007-2010 in Tennessee. We generated 10000 spatial datasets with varying cluster location, size and intensity at the address-level. To represent spatial data aggregation (i.e., reduced resolution), we then created 10000 corresponding datasets both at the ZIP code and county level for a total of 30000 datasets. Using the space-time permutation scan statistic and the SaTScan™ cluster software, we evaluated statistical power, sensitivity and positive predictive values of outbreak detection when using exact address locations compared to ZIP code and county level aggregations.<h4>Results</h4>The power to detect disease outbreaks did not largely diminish when using spatially aggregated data compared to more precise address information. However, aggregations negatively impacted the ability to more accurately determine the exact spatial location of the outbreak, particularly in smaller clusters (<800 km²).<h4>Conclusions</h4>Spatial aggregations do not necessitate a loss of power or sensitivity; rather, the relationship is more complex and involves simultaneously considering relative risk within the cluster and cluster size. The likelihood of spatially over-estimating outbreaks by including geographical areas outside the actual disease cluster increases with aggregated data.
format	article
author	Stephen G Jones Martin Kulldorff
author_facet	Stephen G Jones Martin Kulldorff
author_sort	Stephen G Jones
title	Influence of spatial resolution on space-time disease cluster detection.
title_short	Influence of spatial resolution on space-time disease cluster detection.
title_full	Influence of spatial resolution on space-time disease cluster detection.
title_fullStr	Influence of spatial resolution on space-time disease cluster detection.
title_full_unstemmed	Influence of spatial resolution on space-time disease cluster detection.
title_sort	influence of spatial resolution on space-time disease cluster detection.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/fe0dec6f18764c7c995dc12573f95a59
work_keys_str_mv	AT stephengjones influenceofspatialresolutiononspacetimediseaseclusterdetection AT martinkulldorff influenceofspatialresolutiononspacetimediseaseclusterdetection
_version_	1718422146162622464

Influence of spatial resolution on space-time disease cluster detection.

Ejemplares similares