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Spatial parasite ecology and epidemiology: a review of methods and applications

The distributions of parasitic diseases are determined by complex factors, including many that are distributed in space. A variety of statistical methods are now readily accessible to researchers providing opportunities for describing and ultimately understanding and predicting spatial distributions...

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Detalles Bibliográficos
Autores principales: PULLAN, RACHEL L., STURROCK, HUGH J. W., SOARES MAGALHÃES, RICARDO J., CLEMENTS, ARCHIE C. A., BROOKER, SIMON J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3526959/
https://www.ncbi.nlm.nih.gov/pubmed/23036435
http://dx.doi.org/10.1017/S0031182012000698
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author PULLAN, RACHEL L.
STURROCK, HUGH J. W.
SOARES MAGALHÃES, RICARDO J.
CLEMENTS, ARCHIE C. A.
BROOKER, SIMON J.
author_facet PULLAN, RACHEL L.
STURROCK, HUGH J. W.
SOARES MAGALHÃES, RICARDO J.
CLEMENTS, ARCHIE C. A.
BROOKER, SIMON J.
author_sort PULLAN, RACHEL L.
collection PubMed
description The distributions of parasitic diseases are determined by complex factors, including many that are distributed in space. A variety of statistical methods are now readily accessible to researchers providing opportunities for describing and ultimately understanding and predicting spatial distributions. This review provides an overview of the spatial statistical methods available to parasitologists, ecologists and epidemiologists and discusses how such methods have yielded new insights into the ecology and epidemiology of infection and disease. The review is structured according to the three major branches of spatial statistics: continuous spatial variation; discrete spatial variation; and spatial point processes.
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spelling pubmed-35269592013-01-09 Spatial parasite ecology and epidemiology: a review of methods and applications PULLAN, RACHEL L. STURROCK, HUGH J. W. SOARES MAGALHÃES, RICARDO J. CLEMENTS, ARCHIE C. A. BROOKER, SIMON J. Parasitology Research Article The distributions of parasitic diseases are determined by complex factors, including many that are distributed in space. A variety of statistical methods are now readily accessible to researchers providing opportunities for describing and ultimately understanding and predicting spatial distributions. This review provides an overview of the spatial statistical methods available to parasitologists, ecologists and epidemiologists and discusses how such methods have yielded new insights into the ecology and epidemiology of infection and disease. The review is structured according to the three major branches of spatial statistics: continuous spatial variation; discrete spatial variation; and spatial point processes. Cambridge University Press 2012-12 2012-07-19 /pmc/articles/PMC3526959/ /pubmed/23036435 http://dx.doi.org/10.1017/S0031182012000698 Text en Copyright © Cambridge University Press 2012 The online version of this article is published within an Open Access environment subject to the conditions of the Creative Commons Attribution-NonCommercial-ShareAlike licence <http://creativecommons.org/licenses/by-nc-sa/3.0/>. The written permission of Cambridge University Press must be obtained for commercial re-use.
spellingShingle Research Article
PULLAN, RACHEL L.
STURROCK, HUGH J. W.
SOARES MAGALHÃES, RICARDO J.
CLEMENTS, ARCHIE C. A.
BROOKER, SIMON J.
Spatial parasite ecology and epidemiology: a review of methods and applications
title Spatial parasite ecology and epidemiology: a review of methods and applications
title_full Spatial parasite ecology and epidemiology: a review of methods and applications
title_fullStr Spatial parasite ecology and epidemiology: a review of methods and applications
title_full_unstemmed Spatial parasite ecology and epidemiology: a review of methods and applications
title_short Spatial parasite ecology and epidemiology: a review of methods and applications
title_sort spatial parasite ecology and epidemiology: a review of methods and applications
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3526959/
https://www.ncbi.nlm.nih.gov/pubmed/23036435
http://dx.doi.org/10.1017/S0031182012000698
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