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A comparison of six analytical disease mapping techniques as applied to West Nile Virus in the coterminous United States

West Nile Virus has quickly become a serious problem in the United States (US). Its extremely rapid diffusion throughout the country argues for a better understanding of its geographic dimensions. Both 2003 and 2004 percentages of deaths by numbers of reported human cases, for the 48 coterminous US...

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Detalles Bibliográficos
Autor principal: Griffith, Daniel A
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1215506/
https://www.ncbi.nlm.nih.gov/pubmed/16076391
http://dx.doi.org/10.1186/1476-072X-4-18
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author Griffith, Daniel A
author_facet Griffith, Daniel A
author_sort Griffith, Daniel A
collection PubMed
description West Nile Virus has quickly become a serious problem in the United States (US). Its extremely rapid diffusion throughout the country argues for a better understanding of its geographic dimensions. Both 2003 and 2004 percentages of deaths by numbers of reported human cases, for the 48 coterminous US states, are analyzed with a range of spatial statistical models, seeking to furnish a fuller appreciation of the variety of models available to researchers interested in analytical disease mapping. Comparative results indicate that no single spatial statistical model specification furnishes a preferred description of these data, although normal approximations appear to furnish some questionable implications. Findings also suggest several possible future research topics.
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spelling pubmed-12155062005-09-17 A comparison of six analytical disease mapping techniques as applied to West Nile Virus in the coterminous United States Griffith, Daniel A Int J Health Geogr Research West Nile Virus has quickly become a serious problem in the United States (US). Its extremely rapid diffusion throughout the country argues for a better understanding of its geographic dimensions. Both 2003 and 2004 percentages of deaths by numbers of reported human cases, for the 48 coterminous US states, are analyzed with a range of spatial statistical models, seeking to furnish a fuller appreciation of the variety of models available to researchers interested in analytical disease mapping. Comparative results indicate that no single spatial statistical model specification furnishes a preferred description of these data, although normal approximations appear to furnish some questionable implications. Findings also suggest several possible future research topics. BioMed Central 2005-08-02 /pmc/articles/PMC1215506/ /pubmed/16076391 http://dx.doi.org/10.1186/1476-072X-4-18 Text en Copyright © 2005 Griffith; 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
Griffith, Daniel A
A comparison of six analytical disease mapping techniques as applied to West Nile Virus in the coterminous United States
title A comparison of six analytical disease mapping techniques as applied to West Nile Virus in the coterminous United States
title_full A comparison of six analytical disease mapping techniques as applied to West Nile Virus in the coterminous United States
title_fullStr A comparison of six analytical disease mapping techniques as applied to West Nile Virus in the coterminous United States
title_full_unstemmed A comparison of six analytical disease mapping techniques as applied to West Nile Virus in the coterminous United States
title_short A comparison of six analytical disease mapping techniques as applied to West Nile Virus in the coterminous United States
title_sort comparison of six analytical disease mapping techniques as applied to west nile virus in the coterminous united states
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1215506/
https://www.ncbi.nlm.nih.gov/pubmed/16076391
http://dx.doi.org/10.1186/1476-072X-4-18
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