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Uncertainties Associated with Quantifying Climate Change Impacts on Human Health: A Case Study for Diarrhea

BACKGROUND: Climate change is expected to have large impacts on health at low latitudes where droughts and malnutrition, diarrhea, and malaria are projected to increase. OBJECTIVES: The main objective of this study was to indicate a method to assess a range of plausible health impacts of climate cha...

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Autores principales: Kolstad, Erik W., Johansson, Kjell Arne
Formato: Texto
Lenguaje:English
Publicado: National Institute of Environmental Health Sciences 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3059990/
https://www.ncbi.nlm.nih.gov/pubmed/20929684
http://dx.doi.org/10.1289/ehp.1002060
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author Kolstad, Erik W.
Johansson, Kjell Arne
author_facet Kolstad, Erik W.
Johansson, Kjell Arne
author_sort Kolstad, Erik W.
collection PubMed
description BACKGROUND: Climate change is expected to have large impacts on health at low latitudes where droughts and malnutrition, diarrhea, and malaria are projected to increase. OBJECTIVES: The main objective of this study was to indicate a method to assess a range of plausible health impacts of climate change while handling uncertainties in a unambiguous manner. We illustrate this method by quantifying the impacts of projected regional warming on diarrhea in this century. METHODS: We combined a range of linear regression coefficients to compute projections of future climate change-induced increases in diarrhea using the results from five empirical studies and a 19-member climate model ensemble for which future greenhouse gas emissions were prescribed. Six geographical regions were analyzed. RESULTS: The model ensemble projected temperature increases of up to 4°C over land in the tropics and subtropics by the end of this century. The associated mean projected increases of relative risk of diarrhea in the six study regions were 8–11% (with SDs of 3–5%) by 2010–2039 and 22–29% (SDs of 9–12%) by 2070–2099. CONCLUSIONS: Even our most conservative estimates indicate substantial impacts from climate change on the incidence of diarrhea. Nevertheless, our main conclusion is that large uncertainties are associated with future projections of diarrhea and climate change. We believe that these uncertainties can be attributed primarily to the sparsity of empirical climate–health data. Our results therefore highlight the need for empirical data in the cross section between climate and human health.
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spelling pubmed-30599902011-03-21 Uncertainties Associated with Quantifying Climate Change Impacts on Human Health: A Case Study for Diarrhea Kolstad, Erik W. Johansson, Kjell Arne Environ Health Perspect Research BACKGROUND: Climate change is expected to have large impacts on health at low latitudes where droughts and malnutrition, diarrhea, and malaria are projected to increase. OBJECTIVES: The main objective of this study was to indicate a method to assess a range of plausible health impacts of climate change while handling uncertainties in a unambiguous manner. We illustrate this method by quantifying the impacts of projected regional warming on diarrhea in this century. METHODS: We combined a range of linear regression coefficients to compute projections of future climate change-induced increases in diarrhea using the results from five empirical studies and a 19-member climate model ensemble for which future greenhouse gas emissions were prescribed. Six geographical regions were analyzed. RESULTS: The model ensemble projected temperature increases of up to 4°C over land in the tropics and subtropics by the end of this century. The associated mean projected increases of relative risk of diarrhea in the six study regions were 8–11% (with SDs of 3–5%) by 2010–2039 and 22–29% (SDs of 9–12%) by 2070–2099. CONCLUSIONS: Even our most conservative estimates indicate substantial impacts from climate change on the incidence of diarrhea. Nevertheless, our main conclusion is that large uncertainties are associated with future projections of diarrhea and climate change. We believe that these uncertainties can be attributed primarily to the sparsity of empirical climate–health data. Our results therefore highlight the need for empirical data in the cross section between climate and human health. National Institute of Environmental Health Sciences 2011-03 2010-10-06 /pmc/articles/PMC3059990/ /pubmed/20929684 http://dx.doi.org/10.1289/ehp.1002060 Text en http://creativecommons.org/publicdomain/mark/1.0/ Publication of EHP lies in the public domain and is therefore without copyright. All text from EHP may be reprinted freely. Use of materials published in EHP should be acknowledged (for example, ?Reproduced with permission from Environmental Health Perspectives?); pertinent reference information should be provided for the article from which the material was reproduced. Articles from EHP, especially the News section, may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright.
spellingShingle Research
Kolstad, Erik W.
Johansson, Kjell Arne
Uncertainties Associated with Quantifying Climate Change Impacts on Human Health: A Case Study for Diarrhea
title Uncertainties Associated with Quantifying Climate Change Impacts on Human Health: A Case Study for Diarrhea
title_full Uncertainties Associated with Quantifying Climate Change Impacts on Human Health: A Case Study for Diarrhea
title_fullStr Uncertainties Associated with Quantifying Climate Change Impacts on Human Health: A Case Study for Diarrhea
title_full_unstemmed Uncertainties Associated with Quantifying Climate Change Impacts on Human Health: A Case Study for Diarrhea
title_short Uncertainties Associated with Quantifying Climate Change Impacts on Human Health: A Case Study for Diarrhea
title_sort uncertainties associated with quantifying climate change impacts on human health: a case study for diarrhea
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3059990/
https://www.ncbi.nlm.nih.gov/pubmed/20929684
http://dx.doi.org/10.1289/ehp.1002060
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