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dc.contributor.authorHess, Jeremy J.
dc.contributor.authorRanadive, Nikhil
dc.contributor.authorBoyer, Chris
dc.contributor.authorAleksandrowicz, Lukasz
dc.contributor.authorAnenberg, Susan C.
dc.contributor.authorAunan, Kristin
dc.contributor.authorBelesova, Kristine
dc.contributor.authorBell, Michelle L.
dc.contributor.authorBickersteth, Sam
dc.contributor.authorBowen, Kathryn
dc.contributor.authorBurden, Merci
dc.contributor.authorCampbell-Lendrum, Diarmid
dc.contributor.authorCarlton, Elisabeth
dc.contributor.authorCissé, Guéladio
dc.contributor.authorCohen, Francois
dc.contributor.authorDai, Hancheng
dc.contributor.authorDangour, Alan David
dc.contributor.authorDasgupta, Purnamita
dc.contributor.authorFrumkin, Howard
dc.contributor.authorGong, Peng
dc.contributor.authorGould, Robert J.
dc.contributor.authorHaines, Andy
dc.contributor.authorHales, Simon
dc.contributor.authorHamilton, Ian
dc.contributor.authorHasegawa, Tomoko
dc.contributor.authorHashizume, Masachiro
dc.contributor.authorHonda, Yusushi
dc.contributor.authorHorton, Daniel E.
dc.contributor.authorKarambelas, Alexandra
dc.contributor.authorKim, HO
dc.contributor.authorKim, Satbyul Estella
dc.contributor.authorKinney, Patrick L.
dc.contributor.authorKoné, Inza
dc.contributor.authorKnowlton, Kim
dc.contributor.authorLelieveld, Jos
dc.contributor.authorLimaye, Vijay S.
dc.contributor.authorLiu, Quyong
dc.contributor.authorMadaniyazi, Lina
dc.contributor.authorMartinez, Micaela Elvira
dc.contributor.authorMauzerall, Denise L.
dc.contributor.authorMilner, James
dc.contributor.authorNeville, Tara
dc.contributor.authorNieuwenhuijsen, Mark
dc.contributor.authorPachauri, Shonali
dc.contributor.authorPerera, Frederica P.
dc.contributor.authorPineo, Helen
dc.contributor.authorRemais, Justin V.
dc.contributor.authorSaari, Rebecca K.
dc.contributor.authorSampedro, Jon
dc.contributor.authorScheelbeek, Pauline
dc.contributor.authorSchwartz, Joel
dc.contributor.authorShindell, Drew
dc.contributor.authorSyamsundar, Priya
dc.contributor.authorTaylor, Timothy J.
dc.contributor.authorTonne, Cathryn
dc.contributor.authorVuuren, Detlef Van
dc.contributor.authorWang, Can
dc.contributor.authorWatts, Nicholas
dc.contributor.authorWest, J. Jason
dc.contributor.authorWilkinson, Paul
dc.contributor.authorWood, Stephen A.
dc.contributor.authorWoodcock, James
dc.contributor.authorWoodward, Alistair
dc.contributor.authorXie, Yang
dc.contributor.authorZhang, Ying
dc.contributor.authorEbi, Kristie L.
dc.date.accessioned2021-08-11T10:50:29Z
dc.date.available2021-08-11T10:50:29Z
dc.date.created2020-11-11T14:53:51Z
dc.date.issued2020
dc.identifier.issn0091-6765
dc.identifier.urihttps://hdl.handle.net/11250/2767352
dc.description.abstractBackground: Modeling suggests that climate change mitigation actions can have substantial human health benefits that accrue quickly and locally. Documenting the benefits can help drive more ambitious and health-protective climate change mitigation actions; however, documenting the adverse health effects can help to avoid them. Estimating the health effects of mitigation (HEM) actions can help policy makers prioritize investments based not only on mitigation potential but also on expected health benefits. To date, however, the wide range of incompatible approaches taken to developing and reporting HEM estimates has limited their comparability and usefulness to policymakers. Objective: The objective of this effort was to generate guidance for modeling studies on scoping, estimating, and reporting population health effects from climate change mitigation actions. Methods: An expert panel of HEM researchers was recruited to participate in developing guidance for conducting HEM studies. The primary literature and a synthesis of HEM studies were provided to the panel. Panel members then participated in a modified Delphi exercise to identify areas of consensus regarding HEM estimation. Finally, the panel met to review and discuss consensus findings, resolve remaining differences, and generate guidance regarding conducting HEM studies. Results: The panel generated a checklist of recommendations regarding stakeholder engagement: HEM modeling, including model structure, scope and scale, demographics, time horizons, counterfactuals, health response functions, and metrics; parameterization and reporting; approaches to uncertainty and sensitivity analysis; accounting for policy uptake; and discounting. Discussion: This checklist provides guidance for conducting and reporting HEM estimates to make them more comparable and useful for policymakers. Harmonization of HEM estimates has the potential to lead to advances in and improved synthesis of policy-relevant research that can inform evidence-based decision making and practice. https://doi.org/10.1289/EHP6745en_US
dc.language.isoengen_US
dc.publisherEHPen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleGuidelines for Modeling and Reporting Health Effects of Climate Change Mitigation Actionsen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.source.volume128en_US
dc.source.journalEnvironmental Health Perspectivesen_US
dc.source.issue11en_US
dc.identifier.doi10.1289/EHP6745
dc.identifier.cristin1847017
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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