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Healthy people 2100: modeling population health impacts of climate change

Quantitatively estimating the potential health impacts of climate change is facilitated by multi-determinant models that integrate micro- to macro-level exposures and processes that influence disease occurrence, including the public health responses, in order to identify regions and population group...

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Detalles Bibliográficos
Autor principal: Ebi, Kristie L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7088357/
https://www.ncbi.nlm.nih.gov/pubmed/32214561
http://dx.doi.org/10.1007/s10584-006-9233-0
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author Ebi, Kristie L.
author_facet Ebi, Kristie L.
author_sort Ebi, Kristie L.
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description Quantitatively estimating the potential health impacts of climate change is facilitated by multi-determinant models that integrate micro- to macro-level exposures and processes that influence disease occurrence, including the public health responses, in order to identify regions and population groups that may be more vulnerable. Although progress has been made in constructing systems-based models, considerable work is required to address key issues of quantification of the climate-health associations and the factors that affect those associations; specification of model(s) appropriate to incorporate climate change, adaptation, and mitigation policies; incorporation of thresholds; incorporation of pathways of public health development; and quantification of uncertainties.
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spelling pubmed-70883572020-03-23 Healthy people 2100: modeling population health impacts of climate change Ebi, Kristie L. Clim Change Article Quantitatively estimating the potential health impacts of climate change is facilitated by multi-determinant models that integrate micro- to macro-level exposures and processes that influence disease occurrence, including the public health responses, in order to identify regions and population groups that may be more vulnerable. Although progress has been made in constructing systems-based models, considerable work is required to address key issues of quantification of the climate-health associations and the factors that affect those associations; specification of model(s) appropriate to incorporate climate change, adaptation, and mitigation policies; incorporation of thresholds; incorporation of pathways of public health development; and quantification of uncertainties. Springer Netherlands 2007-03-15 2008 /pmc/articles/PMC7088357/ /pubmed/32214561 http://dx.doi.org/10.1007/s10584-006-9233-0 Text en © Springer Science+Business Media, B.V. 2007 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Ebi, Kristie L.
Healthy people 2100: modeling population health impacts of climate change
title Healthy people 2100: modeling population health impacts of climate change
title_full Healthy people 2100: modeling population health impacts of climate change
title_fullStr Healthy people 2100: modeling population health impacts of climate change
title_full_unstemmed Healthy people 2100: modeling population health impacts of climate change
title_short Healthy people 2100: modeling population health impacts of climate change
title_sort healthy people 2100: modeling population health impacts of climate change
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7088357/
https://www.ncbi.nlm.nih.gov/pubmed/32214561
http://dx.doi.org/10.1007/s10584-006-9233-0
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