Cargando…
Spatial and temporal patterns of enzootic raccoon rabies adjusted for multiple covariates
BACKGROUND: With the objective of identifying spatial and temporal patterns of enzootic raccoon variant rabies, a spatial scan statistic was utilized to search for significant terrestrial rabies clusters by year in New York State in 1997–2003. Cluster analyses were unadjusted for other factors, adju...
Autores principales: | , , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2007
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1853077/ https://www.ncbi.nlm.nih.gov/pubmed/17428324 http://dx.doi.org/10.1186/1476-072X-6-14 |
_version_ | 1782133100409520128 |
---|---|
author | Recuenco, Sergio Eidson, Millicent Kulldorff, Martin Johnson, Glen Cherry, Bryan |
author_facet | Recuenco, Sergio Eidson, Millicent Kulldorff, Martin Johnson, Glen Cherry, Bryan |
author_sort | Recuenco, Sergio |
collection | PubMed |
description | BACKGROUND: With the objective of identifying spatial and temporal patterns of enzootic raccoon variant rabies, a spatial scan statistic was utilized to search for significant terrestrial rabies clusters by year in New York State in 1997–2003. Cluster analyses were unadjusted for other factors, adjusted for covariates, and adjusted for covariates and large scale geographic variation (LSGV). Adjustments were intended to identify the unusual aggregations of cases given the expected distribution based on the observed locations. RESULTS: Statistically significant clusters were identified particularly in the Albany, Finger Lakes, and South Hudson areas. The clusters were generally persistent in the Albany area, but demonstrated cyclical changes in rabies activity every few years in the other areas. Cluster adjustments allowed the discussion of possible causes for the high risk raccoon rabies areas identified. CONCLUSION: This study analyzed raccoon variant rabies spatial and temporal patterns in New York that have not been previously described at a focal (census tract) level. Comparisons across the type of spatial analysis performed with various degrees of adjustment allow consideration of the potential influence of geographical factors for raccoon rabies and possible reasons for the highest risk areas (statistically significant clusters). |
format | Text |
id | pubmed-1853077 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-18530772007-04-20 Spatial and temporal patterns of enzootic raccoon rabies adjusted for multiple covariates Recuenco, Sergio Eidson, Millicent Kulldorff, Martin Johnson, Glen Cherry, Bryan Int J Health Geogr Research BACKGROUND: With the objective of identifying spatial and temporal patterns of enzootic raccoon variant rabies, a spatial scan statistic was utilized to search for significant terrestrial rabies clusters by year in New York State in 1997–2003. Cluster analyses were unadjusted for other factors, adjusted for covariates, and adjusted for covariates and large scale geographic variation (LSGV). Adjustments were intended to identify the unusual aggregations of cases given the expected distribution based on the observed locations. RESULTS: Statistically significant clusters were identified particularly in the Albany, Finger Lakes, and South Hudson areas. The clusters were generally persistent in the Albany area, but demonstrated cyclical changes in rabies activity every few years in the other areas. Cluster adjustments allowed the discussion of possible causes for the high risk raccoon rabies areas identified. CONCLUSION: This study analyzed raccoon variant rabies spatial and temporal patterns in New York that have not been previously described at a focal (census tract) level. Comparisons across the type of spatial analysis performed with various degrees of adjustment allow consideration of the potential influence of geographical factors for raccoon rabies and possible reasons for the highest risk areas (statistically significant clusters). BioMed Central 2007-04-11 /pmc/articles/PMC1853077/ /pubmed/17428324 http://dx.doi.org/10.1186/1476-072X-6-14 Text en Copyright © 2007 Recuenco et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Recuenco, Sergio Eidson, Millicent Kulldorff, Martin Johnson, Glen Cherry, Bryan Spatial and temporal patterns of enzootic raccoon rabies adjusted for multiple covariates |
title | Spatial and temporal patterns of enzootic raccoon rabies adjusted for multiple covariates |
title_full | Spatial and temporal patterns of enzootic raccoon rabies adjusted for multiple covariates |
title_fullStr | Spatial and temporal patterns of enzootic raccoon rabies adjusted for multiple covariates |
title_full_unstemmed | Spatial and temporal patterns of enzootic raccoon rabies adjusted for multiple covariates |
title_short | Spatial and temporal patterns of enzootic raccoon rabies adjusted for multiple covariates |
title_sort | spatial and temporal patterns of enzootic raccoon rabies adjusted for multiple covariates |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1853077/ https://www.ncbi.nlm.nih.gov/pubmed/17428324 http://dx.doi.org/10.1186/1476-072X-6-14 |
work_keys_str_mv | AT recuencosergio spatialandtemporalpatternsofenzooticraccoonrabiesadjustedformultiplecovariates AT eidsonmillicent spatialandtemporalpatternsofenzooticraccoonrabiesadjustedformultiplecovariates AT kulldorffmartin spatialandtemporalpatternsofenzooticraccoonrabiesadjustedformultiplecovariates AT johnsonglen spatialandtemporalpatternsofenzooticraccoonrabiesadjustedformultiplecovariates AT cherrybryan spatialandtemporalpatternsofenzooticraccoonrabiesadjustedformultiplecovariates |