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The benefits of action to reduce household air pollution (BAR-HAP) model: A new decision support tool

Cooking with polluting and inefficient fuels and technologies is responsible for a large set of global harms, ranging from health and time losses among the billions of people who are energy poor, to environmental degradation at a regional and global scale. This paper presents a new decision-support...

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Autores principales: Das, Ipsita, Lewis, Jessica J., Ludolph, Ramona, Bertram, Melanie, Adair-Rohani, Heather, Jeuland, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822293/
https://www.ncbi.nlm.nih.gov/pubmed/33481916
http://dx.doi.org/10.1371/journal.pone.0245729
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author Das, Ipsita
Lewis, Jessica J.
Ludolph, Ramona
Bertram, Melanie
Adair-Rohani, Heather
Jeuland, Marc
author_facet Das, Ipsita
Lewis, Jessica J.
Ludolph, Ramona
Bertram, Melanie
Adair-Rohani, Heather
Jeuland, Marc
author_sort Das, Ipsita
collection PubMed
description Cooking with polluting and inefficient fuels and technologies is responsible for a large set of global harms, ranging from health and time losses among the billions of people who are energy poor, to environmental degradation at a regional and global scale. This paper presents a new decision-support model–the BAR-HAP Tool–that is aimed at guiding planning of policy interventions to accelerate transitions towards cleaner cooking fuels and technologies. The conceptual model behind BAR-HAP lies in a framework of costs and benefits that is holistic and comprehensive, allows consideration of multiple policy interventions (subsidies, financing, bans, and behavior change communication), and realistically accounts for partial adoption and use of improved cooking technology. It incorporates evidence from recent efforts to characterize the relevant set of parameters that determine those costs and benefits, including those related to intervention effectiveness. Practical aspects of the tool were modified based on feedback from a pilot testing workshop with multisectoral users in Nepal. To demonstrate the functionality of the BAR-HAP tool, we present illustrative calculations related to several cooking transitions in the context of Nepal. In accounting for the multifaceted nature of the issue of household air pollution, the BAR-HAP model is expected to facilitate cross-sector dialogue and problem-solving to address this major health, environment and development challenge.
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spelling pubmed-78222932021-01-29 The benefits of action to reduce household air pollution (BAR-HAP) model: A new decision support tool Das, Ipsita Lewis, Jessica J. Ludolph, Ramona Bertram, Melanie Adair-Rohani, Heather Jeuland, Marc PLoS One Research Article Cooking with polluting and inefficient fuels and technologies is responsible for a large set of global harms, ranging from health and time losses among the billions of people who are energy poor, to environmental degradation at a regional and global scale. This paper presents a new decision-support model–the BAR-HAP Tool–that is aimed at guiding planning of policy interventions to accelerate transitions towards cleaner cooking fuels and technologies. The conceptual model behind BAR-HAP lies in a framework of costs and benefits that is holistic and comprehensive, allows consideration of multiple policy interventions (subsidies, financing, bans, and behavior change communication), and realistically accounts for partial adoption and use of improved cooking technology. It incorporates evidence from recent efforts to characterize the relevant set of parameters that determine those costs and benefits, including those related to intervention effectiveness. Practical aspects of the tool were modified based on feedback from a pilot testing workshop with multisectoral users in Nepal. To demonstrate the functionality of the BAR-HAP tool, we present illustrative calculations related to several cooking transitions in the context of Nepal. In accounting for the multifaceted nature of the issue of household air pollution, the BAR-HAP model is expected to facilitate cross-sector dialogue and problem-solving to address this major health, environment and development challenge. Public Library of Science 2021-01-22 /pmc/articles/PMC7822293/ /pubmed/33481916 http://dx.doi.org/10.1371/journal.pone.0245729 Text en © 2021 World Health Organization. Licensee Public Library of Science https://creativecommons.org/licenses/by/3.0/igo/ This is an open access article distributed under the Creative Commons Attribution IGO License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. https://creativecommons.org/licenses/by/3.0/igo/. In any use of this article, there should be no suggestion that WHO endorses any specific organization, products or services. The use of the WHO logo is not permitted. This notice should be preserved along with the article's original URL.
spellingShingle Research Article
Das, Ipsita
Lewis, Jessica J.
Ludolph, Ramona
Bertram, Melanie
Adair-Rohani, Heather
Jeuland, Marc
The benefits of action to reduce household air pollution (BAR-HAP) model: A new decision support tool
title The benefits of action to reduce household air pollution (BAR-HAP) model: A new decision support tool
title_full The benefits of action to reduce household air pollution (BAR-HAP) model: A new decision support tool
title_fullStr The benefits of action to reduce household air pollution (BAR-HAP) model: A new decision support tool
title_full_unstemmed The benefits of action to reduce household air pollution (BAR-HAP) model: A new decision support tool
title_short The benefits of action to reduce household air pollution (BAR-HAP) model: A new decision support tool
title_sort benefits of action to reduce household air pollution (bar-hap) model: a new decision support tool
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822293/
https://www.ncbi.nlm.nih.gov/pubmed/33481916
http://dx.doi.org/10.1371/journal.pone.0245729
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