Spatial statistics and geographical information systems in epidemiology and public health

This chapter surveys the principles behind spatial statistics and geographic information systems (GIS), and their application to epidemiology and public health. Like the other introductory chapters, it is aimed mainly to facilitate understanding in the chapters specific to certain diseases that foll...

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Main Author: Robinson, Timothy P.
Format: Book Chapter
Language:Inglés
Published: Elsevier 2000
Subjects:
Online Access:https://hdl.handle.net/10568/51084
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author Robinson, Timothy P.
author_browse Robinson, Timothy P.
author_facet Robinson, Timothy P.
author_sort Robinson, Timothy P.
collection Repository of Agricultural Research Outputs (CGSpace)
description This chapter surveys the principles behind spatial statistics and geographic information systems (GIS), and their application to epidemiology and public health. Like the other introductory chapters, it is aimed mainly to facilitate understanding in the chapters specific to certain diseases that follow, and to provide a short introduction to the field. A brief overview of spatial statistics and GIS is provided in the introduction. The sections that follow explore the ways in which we can map the distribution of disease, ways in which we can look for spatial patterns in the distribution of disease, and ways in which we, can apply spatial statistics and GIS to the problem of identifying the causal factors of observed patterns. In the last section I discuss some of the ways in which these techniques have been applied to assist decision making for disease intervention, and conclude by discussing future Developments in the field. and some of the issues surrounding the integration of spatial statistics and GIS.
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spelling CGSpace510842024-04-25T06:01:00Z Spatial statistics and geographical information systems in epidemiology and public health Robinson, Timothy P. epidemiology public health geographic information systems statistical methods small farms animal diseases This chapter surveys the principles behind spatial statistics and geographic information systems (GIS), and their application to epidemiology and public health. Like the other introductory chapters, it is aimed mainly to facilitate understanding in the chapters specific to certain diseases that follow, and to provide a short introduction to the field. A brief overview of spatial statistics and GIS is provided in the introduction. The sections that follow explore the ways in which we can map the distribution of disease, ways in which we can look for spatial patterns in the distribution of disease, and ways in which we, can apply spatial statistics and GIS to the problem of identifying the causal factors of observed patterns. In the last section I discuss some of the ways in which these techniques have been applied to assist decision making for disease intervention, and conclude by discussing future Developments in the field. and some of the issues surrounding the integration of spatial statistics and GIS. 2000 2014-10-31T06:22:04Z 2014-10-31T06:22:04Z Book Chapter https://hdl.handle.net/10568/51084 en Limited Access Elsevier
spellingShingle epidemiology
public health
geographic information systems
statistical methods
small farms
animal diseases
Robinson, Timothy P.
Spatial statistics and geographical information systems in epidemiology and public health
title Spatial statistics and geographical information systems in epidemiology and public health
title_full Spatial statistics and geographical information systems in epidemiology and public health
title_fullStr Spatial statistics and geographical information systems in epidemiology and public health
title_full_unstemmed Spatial statistics and geographical information systems in epidemiology and public health
title_short Spatial statistics and geographical information systems in epidemiology and public health
title_sort spatial statistics and geographical information systems in epidemiology and public health
topic epidemiology
public health
geographic information systems
statistical methods
small farms
animal diseases
url https://hdl.handle.net/10568/51084
work_keys_str_mv AT robinsontimothyp spatialstatisticsandgeographicalinformationsystemsinepidemiologyandpublichealth