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Mapping health in the Great Lakes areas of concern: a user-friendly tool for policy and decision makers.

The role of the physical environment as a determinant of health is a major concern reported by the general public as well as by many policymakers. However, it remains one of the health determinants for which few available measures or indicators are readily available. This lack of data is compounded...

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Detalles Bibliográficos
Autores principales: Elliott, S J, Eyles, J, DeLuca, P
Formato: Texto
Lenguaje:English
Publicado: 2001
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1240617/
https://www.ncbi.nlm.nih.gov/pubmed/11744500
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author Elliott, S J
Eyles, J
DeLuca, P
author_facet Elliott, S J
Eyles, J
DeLuca, P
author_sort Elliott, S J
collection PubMed
description The role of the physical environment as a determinant of health is a major concern reported by the general public as well as by many policymakers. However, it remains one of the health determinants for which few available measures or indicators are readily available. This lack of data is compounded by the fact that evidence for direct cause-and-effect relationships in the literature is often equivocal, leading to feelings of uncertainty among the lay public and often leading to indecision among policymakers. In this article we examine one aspect of the physical environment--water pollution in the Great Lakes Areas of Concern (AOCs)--and its potential impacts on a wide range of (plausible) human health outcomes. Essentially, the International Joint Commission, the international agency that oversees Great Lakes water quality and related issues, worked with Health Canada to produce a report for each of the 17 AOCs on the Canadian side of the Great Lakes, outlining a long list of health outcomes and the potential relationships these might have with environmental exposures known or suspected to exist in the Great Lakes basin. These reports are based solely on secondary health data and a thorough review of the environmental epidemiologic literature. The use of these reports by local health policymakers as well as by public health officials in the AOCs was limited, however, by the presentation of vast amounts of data in a series of tables with various outcome measures. The reports were therefore not used widely by the audience for whom they were intended. In this paper we report the results of an undertaking designed to reduce the data and present them in a more policy-friendly manner, using a geographic information system. We do not attempt to answer directly questions related to cause and effect vis-à-vis the relationships between environment and health in the Great Lakes; rather, this work is a hypothesis-generating exercise that will help sharpen the focus of research into this increasingly important area of public health concern.
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spelling pubmed-12406172005-11-08 Mapping health in the Great Lakes areas of concern: a user-friendly tool for policy and decision makers. Elliott, S J Eyles, J DeLuca, P Environ Health Perspect Research Article The role of the physical environment as a determinant of health is a major concern reported by the general public as well as by many policymakers. However, it remains one of the health determinants for which few available measures or indicators are readily available. This lack of data is compounded by the fact that evidence for direct cause-and-effect relationships in the literature is often equivocal, leading to feelings of uncertainty among the lay public and often leading to indecision among policymakers. In this article we examine one aspect of the physical environment--water pollution in the Great Lakes Areas of Concern (AOCs)--and its potential impacts on a wide range of (plausible) human health outcomes. Essentially, the International Joint Commission, the international agency that oversees Great Lakes water quality and related issues, worked with Health Canada to produce a report for each of the 17 AOCs on the Canadian side of the Great Lakes, outlining a long list of health outcomes and the potential relationships these might have with environmental exposures known or suspected to exist in the Great Lakes basin. These reports are based solely on secondary health data and a thorough review of the environmental epidemiologic literature. The use of these reports by local health policymakers as well as by public health officials in the AOCs was limited, however, by the presentation of vast amounts of data in a series of tables with various outcome measures. The reports were therefore not used widely by the audience for whom they were intended. In this paper we report the results of an undertaking designed to reduce the data and present them in a more policy-friendly manner, using a geographic information system. We do not attempt to answer directly questions related to cause and effect vis-à-vis the relationships between environment and health in the Great Lakes; rather, this work is a hypothesis-generating exercise that will help sharpen the focus of research into this increasingly important area of public health concern. 2001-12 /pmc/articles/PMC1240617/ /pubmed/11744500 Text en
spellingShingle Research Article
Elliott, S J
Eyles, J
DeLuca, P
Mapping health in the Great Lakes areas of concern: a user-friendly tool for policy and decision makers.
title Mapping health in the Great Lakes areas of concern: a user-friendly tool for policy and decision makers.
title_full Mapping health in the Great Lakes areas of concern: a user-friendly tool for policy and decision makers.
title_fullStr Mapping health in the Great Lakes areas of concern: a user-friendly tool for policy and decision makers.
title_full_unstemmed Mapping health in the Great Lakes areas of concern: a user-friendly tool for policy and decision makers.
title_short Mapping health in the Great Lakes areas of concern: a user-friendly tool for policy and decision makers.
title_sort mapping health in the great lakes areas of concern: a user-friendly tool for policy and decision makers.
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1240617/
https://www.ncbi.nlm.nih.gov/pubmed/11744500
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