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Dealing with uncertainties in environmental burden of disease assessment
Disability Adjusted Life Years (DALYs) combine the number of people affected by disease or mortality in a population and the duration and severity of their condition into one number. The environmental burden of disease is the number of DALYs that can be attributed to environmental factors. Environme...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2684742/ https://www.ncbi.nlm.nih.gov/pubmed/19400963 http://dx.doi.org/10.1186/1476-069X-8-21 |
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author | Knol, Anne B Petersen, Arthur C van der Sluijs, Jeroen P Lebret, Erik |
author_facet | Knol, Anne B Petersen, Arthur C van der Sluijs, Jeroen P Lebret, Erik |
author_sort | Knol, Anne B |
collection | PubMed |
description | Disability Adjusted Life Years (DALYs) combine the number of people affected by disease or mortality in a population and the duration and severity of their condition into one number. The environmental burden of disease is the number of DALYs that can be attributed to environmental factors. Environmental burden of disease estimates enable policy makers to evaluate, compare and prioritize dissimilar environmental health problems or interventions. These estimates often have various uncertainties and assumptions which are not always made explicit. Besides statistical uncertainty in input data and parameters – which is commonly addressed – a variety of other types of uncertainties may substantially influence the results of the assessment. We have reviewed how different types of uncertainties affect environmental burden of disease assessments, and we give suggestions as to how researchers could address these uncertainties. We propose the use of an uncertainty typology to identify and characterize uncertainties. Finally, we argue that uncertainties need to be identified, assessed, reported and interpreted in order for assessment results to adequately support decision making. |
format | Text |
id | pubmed-2684742 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-26847422009-05-21 Dealing with uncertainties in environmental burden of disease assessment Knol, Anne B Petersen, Arthur C van der Sluijs, Jeroen P Lebret, Erik Environ Health Research Disability Adjusted Life Years (DALYs) combine the number of people affected by disease or mortality in a population and the duration and severity of their condition into one number. The environmental burden of disease is the number of DALYs that can be attributed to environmental factors. Environmental burden of disease estimates enable policy makers to evaluate, compare and prioritize dissimilar environmental health problems or interventions. These estimates often have various uncertainties and assumptions which are not always made explicit. Besides statistical uncertainty in input data and parameters – which is commonly addressed – a variety of other types of uncertainties may substantially influence the results of the assessment. We have reviewed how different types of uncertainties affect environmental burden of disease assessments, and we give suggestions as to how researchers could address these uncertainties. We propose the use of an uncertainty typology to identify and characterize uncertainties. Finally, we argue that uncertainties need to be identified, assessed, reported and interpreted in order for assessment results to adequately support decision making. BioMed Central 2009-04-28 /pmc/articles/PMC2684742/ /pubmed/19400963 http://dx.doi.org/10.1186/1476-069X-8-21 Text en Copyright ©2009 Knol 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 Knol, Anne B Petersen, Arthur C van der Sluijs, Jeroen P Lebret, Erik Dealing with uncertainties in environmental burden of disease assessment |
title | Dealing with uncertainties in environmental burden of disease assessment |
title_full | Dealing with uncertainties in environmental burden of disease assessment |
title_fullStr | Dealing with uncertainties in environmental burden of disease assessment |
title_full_unstemmed | Dealing with uncertainties in environmental burden of disease assessment |
title_short | Dealing with uncertainties in environmental burden of disease assessment |
title_sort | dealing with uncertainties in environmental burden of disease assessment |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2684742/ https://www.ncbi.nlm.nih.gov/pubmed/19400963 http://dx.doi.org/10.1186/1476-069X-8-21 |
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