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description Publicationkeyboard_double_arrow_right Article 2024 Germany, Germany, Netherlands, Austria, NetherlandsPublisher:IOP Publishing Funded by:EC | SPARCCLEEC| SPARCCLEAuthors:Diana Danilenko;
Diana Danilenko
Diana Danilenko in OpenAIREMarina Andrijevic;
Marina Andrijevic
Marina Andrijevic in OpenAIREAnne J Sietsma;
Anne J Sietsma
Anne J Sietsma in OpenAIREMax Callaghan;
+1 AuthorsMax Callaghan
Max Callaghan in OpenAIREDiana Danilenko;
Diana Danilenko
Diana Danilenko in OpenAIREMarina Andrijevic;
Marina Andrijevic
Marina Andrijevic in OpenAIREAnne J Sietsma;
Anne J Sietsma
Anne J Sietsma in OpenAIREMax Callaghan;
Max Callaghan
Max Callaghan in OpenAIRETarun Khanna;
Tarun Khanna
Tarun Khanna in OpenAIREAbstract This paper is the first to analyse the role of women authors in fostering justice-relevant topics in climate adaptation research. As representation, citation and payment patterns remain gender-biased across scientific disciplines, we explore the case of climate science, particularly adaptation, as its most human-oriented facet. In climate research and policy, there has been a recent surge of interest in climate justice topics: mentions of justice have increased almost tenfold in Intergovernmental Panel on Climate Change Working Group 2 reports between the latest assessment cycles (AR5 and AR6). We conduct a systematic examination of the topic space in the adaptation policy scholarship. As it is a vast and rapidly growing field, we use topic modelling, an unsupervised machine learning method, to identify the literature on climate justice and related fields, as well as to examine the relationship between topic prevalence and the gender of the authors. We find climate change adaptation policy research to be male dominated, with women holding 38.8% of first and 28.8% of last authorships. However, we observe topic-specific variability, whereby the share of female authors is higher among publications on justice-relevant topics. Female authorship is highly linked to topics such as Community, Local Knowledge, and Governance, but less to Food Security and Climate Finance. Our findings corroborate the evidence that female authors play a significant role in advancing the research and dialogue on the relationship between climate change and areas that have meaningful impact on lives of women and other marginalised groups.
IIASA PURE arrow_drop_down IIASA PUREArticle . 2024 . Peer-reviewedFull-Text: https://pure.iiasa.ac.at/id/eprint/20385/1/Danilenko_2024_Environ._Res.__Climate_3_045010.pdfData sources: IIASA PUREIIASA DAREArticle . 2024License: CC BYFull-Text: https://pure.iiasa.ac.at/id/eprint/20385/1/Danilenko_2024_Environ._Res.__Climate_3_045010.pdfData sources: Bielefeld Academic Search Engine (BASE)Wageningen Staff PublicationsArticle . 2024License: CC BYData sources: Wageningen Staff PublicationsEnvironmental Research: ClimateArticle . 2024 . Peer-reviewedData sources: European Union Open Data PortalPublication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2024Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/2752-5295/ad6f3b&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert IIASA PURE arrow_drop_down IIASA PUREArticle . 2024 . Peer-reviewedFull-Text: https://pure.iiasa.ac.at/id/eprint/20385/1/Danilenko_2024_Environ._Res.__Climate_3_045010.pdfData sources: IIASA PUREIIASA DAREArticle . 2024License: CC BYFull-Text: https://pure.iiasa.ac.at/id/eprint/20385/1/Danilenko_2024_Environ._Res.__Climate_3_045010.pdfData sources: Bielefeld Academic Search Engine (BASE)Wageningen Staff PublicationsArticle . 2024License: CC BYData sources: Wageningen Staff PublicationsEnvironmental Research: ClimateArticle . 2024 . Peer-reviewedData sources: European Union Open Data PortalPublication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2024Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/2752-5295/ad6f3b&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024 Germany, Germany, Netherlands, Austria, NetherlandsPublisher:IOP Publishing Funded by:EC | SPARCCLEEC| SPARCCLEAuthors:Diana Danilenko;
Diana Danilenko
Diana Danilenko in OpenAIREMarina Andrijevic;
Marina Andrijevic
Marina Andrijevic in OpenAIREAnne J Sietsma;
Anne J Sietsma
Anne J Sietsma in OpenAIREMax Callaghan;
+1 AuthorsMax Callaghan
Max Callaghan in OpenAIREDiana Danilenko;
Diana Danilenko
Diana Danilenko in OpenAIREMarina Andrijevic;
Marina Andrijevic
Marina Andrijevic in OpenAIREAnne J Sietsma;
Anne J Sietsma
Anne J Sietsma in OpenAIREMax Callaghan;
Max Callaghan
Max Callaghan in OpenAIRETarun Khanna;
Tarun Khanna
Tarun Khanna in OpenAIREAbstract This paper is the first to analyse the role of women authors in fostering justice-relevant topics in climate adaptation research. As representation, citation and payment patterns remain gender-biased across scientific disciplines, we explore the case of climate science, particularly adaptation, as its most human-oriented facet. In climate research and policy, there has been a recent surge of interest in climate justice topics: mentions of justice have increased almost tenfold in Intergovernmental Panel on Climate Change Working Group 2 reports between the latest assessment cycles (AR5 and AR6). We conduct a systematic examination of the topic space in the adaptation policy scholarship. As it is a vast and rapidly growing field, we use topic modelling, an unsupervised machine learning method, to identify the literature on climate justice and related fields, as well as to examine the relationship between topic prevalence and the gender of the authors. We find climate change adaptation policy research to be male dominated, with women holding 38.8% of first and 28.8% of last authorships. However, we observe topic-specific variability, whereby the share of female authors is higher among publications on justice-relevant topics. Female authorship is highly linked to topics such as Community, Local Knowledge, and Governance, but less to Food Security and Climate Finance. Our findings corroborate the evidence that female authors play a significant role in advancing the research and dialogue on the relationship between climate change and areas that have meaningful impact on lives of women and other marginalised groups.
IIASA PURE arrow_drop_down IIASA PUREArticle . 2024 . Peer-reviewedFull-Text: https://pure.iiasa.ac.at/id/eprint/20385/1/Danilenko_2024_Environ._Res.__Climate_3_045010.pdfData sources: IIASA PUREIIASA DAREArticle . 2024License: CC BYFull-Text: https://pure.iiasa.ac.at/id/eprint/20385/1/Danilenko_2024_Environ._Res.__Climate_3_045010.pdfData sources: Bielefeld Academic Search Engine (BASE)Wageningen Staff PublicationsArticle . 2024License: CC BYData sources: Wageningen Staff PublicationsEnvironmental Research: ClimateArticle . 2024 . Peer-reviewedData sources: European Union Open Data PortalPublication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2024Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/2752-5295/ad6f3b&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert IIASA PURE arrow_drop_down IIASA PUREArticle . 2024 . Peer-reviewedFull-Text: https://pure.iiasa.ac.at/id/eprint/20385/1/Danilenko_2024_Environ._Res.__Climate_3_045010.pdfData sources: IIASA PUREIIASA DAREArticle . 2024License: CC BYFull-Text: https://pure.iiasa.ac.at/id/eprint/20385/1/Danilenko_2024_Environ._Res.__Climate_3_045010.pdfData sources: Bielefeld Academic Search Engine (BASE)Wageningen Staff PublicationsArticle . 2024License: CC BYData sources: Wageningen Staff PublicationsEnvironmental Research: ClimateArticle . 2024 . Peer-reviewedData sources: European Union Open Data PortalPublication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2024Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/2752-5295/ad6f3b&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021Publisher:Zenodo Authors:Berrang-Ford, Lea;
Berrang-Ford, Lea
Berrang-Ford, Lea in OpenAIRESietsma, Anne J.;
Sietsma, Anne J.
Sietsma, Anne J. in OpenAIRECallaghan, Max;
Callaghan, Max
Callaghan, Max in OpenAIREMinx, Jan C.;
+4 AuthorsMinx, Jan C.
Minx, Jan C. in OpenAIREBerrang-Ford, Lea;
Berrang-Ford, Lea
Berrang-Ford, Lea in OpenAIRESietsma, Anne J.;
Sietsma, Anne J.
Sietsma, Anne J. in OpenAIRECallaghan, Max;
Callaghan, Max
Callaghan, Max in OpenAIREMinx, Jan C.;
Minx, Jan C.
Minx, Jan C. in OpenAIREScheelbeek, Pauline;
Scheelbeek, Pauline
Scheelbeek, Pauline in OpenAIREHaddaway, Neal R.;
Haddaway, Neal R.
Haddaway, Neal R. in OpenAIREHaines, Andy;
Haines, Andy
Haines, Andy in OpenAIREDangour, Alan D.;
Dangour, Alan D.
Dangour, Alan D. in OpenAIREThis is a complementary dataset associated with the following publication: Berrang-Ford, Lea, et al. "Systematic Mapping of Global Research on Climate and Health Using Machine Learning." The Lancet Planetary Health. Meta-data are included.
ZENODO arrow_drop_down Smithsonian figshareDataset . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4972515&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert ZENODO arrow_drop_down Smithsonian figshareDataset . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4972515&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021Publisher:Zenodo Authors:Berrang-Ford, Lea;
Berrang-Ford, Lea
Berrang-Ford, Lea in OpenAIRESietsma, Anne J.;
Sietsma, Anne J.
Sietsma, Anne J. in OpenAIRECallaghan, Max;
Callaghan, Max
Callaghan, Max in OpenAIREMinx, Jan C.;
+4 AuthorsMinx, Jan C.
Minx, Jan C. in OpenAIREBerrang-Ford, Lea;
Berrang-Ford, Lea
Berrang-Ford, Lea in OpenAIRESietsma, Anne J.;
Sietsma, Anne J.
Sietsma, Anne J. in OpenAIRECallaghan, Max;
Callaghan, Max
Callaghan, Max in OpenAIREMinx, Jan C.;
Minx, Jan C.
Minx, Jan C. in OpenAIREScheelbeek, Pauline;
Scheelbeek, Pauline
Scheelbeek, Pauline in OpenAIREHaddaway, Neal R.;
Haddaway, Neal R.
Haddaway, Neal R. in OpenAIREHaines, Andy;
Haines, Andy
Haines, Andy in OpenAIREDangour, Alan D.;
Dangour, Alan D.
Dangour, Alan D. in OpenAIREThis is a complementary dataset associated with the following publication: Berrang-Ford, Lea, et al. "Systematic Mapping of Global Research on Climate and Health Using Machine Learning." The Lancet Planetary Health. Meta-data are included.
ZENODO arrow_drop_down Smithsonian figshareDataset . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4972515&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert ZENODO arrow_drop_down Smithsonian figshareDataset . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4972515&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2021 South Africa, Germany, South AfricaPublisher:Elsevier BV Funded by:WT | Sustainable and Healthy F..., WT | Pathfinder Commission for..., WT | Complex Urban Systems for...WT| Sustainable and Healthy Food Systems (SHEFS) ,WT| Pathfinder Commission for Planetary Health and Prosperity ,WT| Complex Urban Systems for Sustainability and Health (London Hub)Authors: Max Callaghan;Andy Haines;
Neal R. Haddaway; Neal R. Haddaway; +5 AuthorsAndy Haines
Andy Haines in OpenAIREMax Callaghan;Andy Haines;
Neal R. Haddaway; Neal R. Haddaway; Pauline Scheelbeek; Alan D. Dangour;Andy Haines
Andy Haines in OpenAIRELea Berrang-Ford;
Lea Berrang-Ford
Lea Berrang-Ford in OpenAIREAnne J. Sietsma;
Anne J. Sietsma
Anne J. Sietsma in OpenAIREJan C. Minx;
Jan C. Minx
Jan C. Minx in OpenAIREThe global literature on the links between climate change and human health is large, increasing exponentially, and it is no longer feasible to collate and synthesise using traditional systematic evidence mapping approaches. We aimed to use machine learning methods to systematically synthesise an evidence base on climate change and human health.We used supervised machine learning and other natural language processing methods (topic modelling and geoparsing) to systematically identify and map the scientific literature on climate change and health published between Jan 1, 2013, and April 9, 2020. Only literature indexed in English were included. We searched Web of Science Core Collection, Scopus, and PubMed using title, abstract, and keywords only. We searched for papers including both a health component and an explicit mention of either climate change, climate variability, or climate change-relevant weather phenomena. We classified relevant publications according to the fields of climate research, climate drivers, health impact, date, and geography. We used supervised and unsupervised machine learning to identify and classify relevant articles in the field of climate and health, with outputs including evidence heat maps, geographical maps, and narrative synthesis of trends in climate health-related publications. We included empirical literature of any study design that reported on health pathways associated with climate impacts, mitigation, or adaptation.We predict that there are 15 963 studies in the field of climate and health published between 2013 and 2019. Climate health literature is dominated by impact studies, with mitigation and adaptation responses and their co-benefits and co-risks remaining niche topics. Air quality and heat stress are the most frequently studied exposures, with all-cause mortality and infectious disease incidence being the most frequently studied health outcomes. Seasonality, extreme weather events, heat, and weather variability are the most frequently studied climate-related hazards. We found major gaps in evidence on climate health research for mental health, undernutrition, and maternal and child health. Geographically, the evidence base is dominated by studies from high-income countries and China, with scant evidence from low-income counties, which often suffer most from the health consequences of climate change.Our findings show the importance and feasibility of using automated machine learning to comprehensively map the science on climate change and human health in the age of big literature. These can provide key inputs into global climate and health assessments. The scant evidence on climate change response options is concerning and could significantly hamper the design of evidence-based pathways to reduce the effects on health of climate change. In the post-2015 Paris Agreement era of climate solutions, we believe much more attention should be given to climate adaptation and mitigation options and their effects on human health.Foreign, Commonwealth & Development Office.
CORE arrow_drop_down Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)The University of Johannesburg: UJContentArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/s2542-5196(21)00179-0&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 104 citations 104 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert CORE arrow_drop_down Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)The University of Johannesburg: UJContentArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/s2542-5196(21)00179-0&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2021 South Africa, Germany, South AfricaPublisher:Elsevier BV Funded by:WT | Sustainable and Healthy F..., WT | Pathfinder Commission for..., WT | Complex Urban Systems for...WT| Sustainable and Healthy Food Systems (SHEFS) ,WT| Pathfinder Commission for Planetary Health and Prosperity ,WT| Complex Urban Systems for Sustainability and Health (London Hub)Authors: Max Callaghan;Andy Haines;
Neal R. Haddaway; Neal R. Haddaway; +5 AuthorsAndy Haines
Andy Haines in OpenAIREMax Callaghan;Andy Haines;
Neal R. Haddaway; Neal R. Haddaway; Pauline Scheelbeek; Alan D. Dangour;Andy Haines
Andy Haines in OpenAIRELea Berrang-Ford;
Lea Berrang-Ford
Lea Berrang-Ford in OpenAIREAnne J. Sietsma;
Anne J. Sietsma
Anne J. Sietsma in OpenAIREJan C. Minx;
Jan C. Minx
Jan C. Minx in OpenAIREThe global literature on the links between climate change and human health is large, increasing exponentially, and it is no longer feasible to collate and synthesise using traditional systematic evidence mapping approaches. We aimed to use machine learning methods to systematically synthesise an evidence base on climate change and human health.We used supervised machine learning and other natural language processing methods (topic modelling and geoparsing) to systematically identify and map the scientific literature on climate change and health published between Jan 1, 2013, and April 9, 2020. Only literature indexed in English were included. We searched Web of Science Core Collection, Scopus, and PubMed using title, abstract, and keywords only. We searched for papers including both a health component and an explicit mention of either climate change, climate variability, or climate change-relevant weather phenomena. We classified relevant publications according to the fields of climate research, climate drivers, health impact, date, and geography. We used supervised and unsupervised machine learning to identify and classify relevant articles in the field of climate and health, with outputs including evidence heat maps, geographical maps, and narrative synthesis of trends in climate health-related publications. We included empirical literature of any study design that reported on health pathways associated with climate impacts, mitigation, or adaptation.We predict that there are 15 963 studies in the field of climate and health published between 2013 and 2019. Climate health literature is dominated by impact studies, with mitigation and adaptation responses and their co-benefits and co-risks remaining niche topics. Air quality and heat stress are the most frequently studied exposures, with all-cause mortality and infectious disease incidence being the most frequently studied health outcomes. Seasonality, extreme weather events, heat, and weather variability are the most frequently studied climate-related hazards. We found major gaps in evidence on climate health research for mental health, undernutrition, and maternal and child health. Geographically, the evidence base is dominated by studies from high-income countries and China, with scant evidence from low-income counties, which often suffer most from the health consequences of climate change.Our findings show the importance and feasibility of using automated machine learning to comprehensively map the science on climate change and human health in the age of big literature. These can provide key inputs into global climate and health assessments. The scant evidence on climate change response options is concerning and could significantly hamper the design of evidence-based pathways to reduce the effects on health of climate change. In the post-2015 Paris Agreement era of climate solutions, we believe much more attention should be given to climate adaptation and mitigation options and their effects on human health.Foreign, Commonwealth & Development Office.
CORE arrow_drop_down Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)The University of Johannesburg: UJContentArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/s2542-5196(21)00179-0&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 104 citations 104 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert CORE arrow_drop_down Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)The University of Johannesburg: UJContentArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/s2542-5196(21)00179-0&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal , Review 2021 United States, United States, Netherlands, Peru, United States, Australia, India, France, Netherlands, Germany, France, India, PeruPublisher:IOP Publishing Funded by:WT | Food System Adaptations i..., WT | Sustainable and Healthy F...WT| Food System Adaptations in Changing Environments in Africa (FACE-Africa) ,WT| Sustainable and Healthy Food Systems (SHEFS)Authors:Pauline Scheelbeek;
Pauline Scheelbeek
Pauline Scheelbeek in OpenAIREPratik Pokharel;
Pratik Pokharel
Pratik Pokharel in OpenAIREEranga K. Galappaththi;
Eranga K. Galappaththi; +28 AuthorsEranga K. Galappaththi
Eranga K. Galappaththi in OpenAIREPauline Scheelbeek;
Pauline Scheelbeek
Pauline Scheelbeek in OpenAIREPratik Pokharel;
Pratik Pokharel
Pratik Pokharel in OpenAIREEranga K. Galappaththi;
Eranga K. Galappaththi;Eranga K. Galappaththi
Eranga K. Galappaththi in OpenAIREStephanie E. Austin;
Stephanie E. Austin
Stephanie E. Austin in OpenAIRETim Ensor;
Tim Ensor
Tim Ensor in OpenAIREMax Callaghan;
Max Callaghan
Max Callaghan in OpenAIREKaty Davis;
Katy Davis
Katy Davis in OpenAIRECarol Zavaleta-Cortijo;
Carol Zavaleta-Cortijo
Carol Zavaleta-Cortijo in OpenAIREPatricia Nayna Schwerdtle;
Patricia Nayna Schwerdtle
Patricia Nayna Schwerdtle in OpenAIREAnne J. Sietsma;
Anne J. Sietsma
Anne J. Sietsma in OpenAIREGrace Turner;
Tara Chen;Grace Turner
Grace Turner in OpenAIREIssah J Musah-Surugu;
Issah J Musah-Surugu
Issah J Musah-Surugu in OpenAIREJames D. Ford;
James D. Ford
James D. Ford in OpenAIREAlan D. Dangour;
Alan D. Dangour
Alan D. Dangour in OpenAIREMariella Siña;
Mariella Siña
Mariella Siña in OpenAIRESienna Templeman;
Sienna Templeman
Sienna Templeman in OpenAIREIdowu Ajibade;
Stephanie Jarmul;Idowu Ajibade
Idowu Ajibade in OpenAIREJan C. Minx;
Jan C. Minx
Jan C. Minx in OpenAIREElphin Tom Joe;
Elphin Tom Joe
Elphin Tom Joe in OpenAIREAlcade C Segnon;
Alcade C Segnon;Alcade C Segnon
Alcade C Segnon in OpenAIREKathryn Bowen;
Kathryn Bowen;Kathryn Bowen
Kathryn Bowen in OpenAIREGiulia Scarpa;
Giulia Scarpa
Giulia Scarpa in OpenAIRELea Berrang-Ford;
Lea Berrang-Ford
Lea Berrang-Ford in OpenAIREGabriela Nagle Alverio;
Gabriela Nagle Alverio
Gabriela Nagle Alverio in OpenAIREJiren Xu;
Jiren Xu
Jiren Xu in OpenAIREEunice A Salubi;
Eunice A Salubi
Eunice A Salubi in OpenAIRERobbert Biesbroek;
Robbert Biesbroek
Robbert Biesbroek in OpenAIREpmid: 34267795
pmc: PMC8276060
handle: 10919/108113 , 20.500.12866/9895 , 11343/287397 , 10568/114767
pmid: 34267795
pmc: PMC8276060
handle: 10919/108113 , 20.500.12866/9895 , 11343/287397 , 10568/114767
Abstract Climate change adaptation responses are being developed and delivered in many parts of the world in the absence of detailed knowledge of their effects on public health. Here we present the results of a systematic review of peer-reviewed literature reporting the effects on health of climate change adaptation responses in low- and middle-income countries (LMICs). The review used the ‘Global Adaptation Mapping Initiative’ database (comprising 1682 publications related to climate change adaptation responses) that was constructed through systematic literature searches in Scopus, Web of Science and Google Scholar (2013–2020). For this study, further screening was performed to identify studies from LMICs reporting the effects on human health of climate change adaptation responses. Studies were categorised by study design and data were extracted on geographic region, population under investigation, type of adaptation response and reported health effects. The review identified 99 studies (1117 reported outcomes), reporting evidence from 66 LMICs. Only two studies were ex ante formal evaluations of climate change adaptation responses. Papers reported adaptation responses related to flooding, rainfall, drought and extreme heat, predominantly through behaviour change, and infrastructural and technological improvements. Reported (direct and intermediate) health outcomes included reduction in infectious disease incidence, improved access to water/sanitation and improved food security. All-cause mortality was rarely reported, and no papers were identified reporting on maternal and child health. Reported maladaptations were predominantly related to widening of inequalities and unforeseen co-harms. Reporting and publication-bias seems likely with only 3.5% of all 1117 health outcomes reported to be negative. Our review identified some evidence that climate change adaptation responses may have benefits for human health but the overall paucity of evidence is concerning and represents a major missed opportunity for learning. There is an urgent need for greater focus on the funding, design, evaluation and standardised reporting of the effects on health of climate change adaptation responses to enable evidence-based policy action.
CORE arrow_drop_down COREArticle . 2021License: CC BYFull-Text: https://eprints.whiterose.ac.uk/177072/2/Scheelbeek_2021_Environ._Res._Lett._16_073001.pdfData sources: CORECORE (RIOXX-UK Aggregator)Article . 2021License: CC BYFull-Text: https://eprints.whiterose.ac.uk/177072/2/Scheelbeek_2021_Environ._Res._Lett._16_073001.pdfData sources: CORE (RIOXX-UK Aggregator)The University of Melbourne: Digital RepositoryArticle . 2021License: CC BYFull-Text: http://hdl.handle.net/11343/287397Data sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2021License: CC BYFull-Text: https://hdl.handle.net/10568/114767Data sources: Bielefeld Academic Search Engine (BASE)Wageningen Staff PublicationsArticle . 2021License: CC BYData sources: Wageningen Staff PublicationsPublication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)Portland State University: PDXScholarArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/ac092c&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 63 citations 63 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert CORE arrow_drop_down COREArticle . 2021License: CC BYFull-Text: https://eprints.whiterose.ac.uk/177072/2/Scheelbeek_2021_Environ._Res._Lett._16_073001.pdfData sources: CORECORE (RIOXX-UK Aggregator)Article . 2021License: CC BYFull-Text: https://eprints.whiterose.ac.uk/177072/2/Scheelbeek_2021_Environ._Res._Lett._16_073001.pdfData sources: CORE (RIOXX-UK Aggregator)The University of Melbourne: Digital RepositoryArticle . 2021License: CC BYFull-Text: http://hdl.handle.net/11343/287397Data sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2021License: CC BYFull-Text: https://hdl.handle.net/10568/114767Data sources: Bielefeld Academic Search Engine (BASE)Wageningen Staff PublicationsArticle . 2021License: CC BYData sources: Wageningen Staff PublicationsPublication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)Portland State University: PDXScholarArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/ac092c&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal , Review 2021 United States, United States, Netherlands, Peru, United States, Australia, India, France, Netherlands, Germany, France, India, PeruPublisher:IOP Publishing Funded by:WT | Food System Adaptations i..., WT | Sustainable and Healthy F...WT| Food System Adaptations in Changing Environments in Africa (FACE-Africa) ,WT| Sustainable and Healthy Food Systems (SHEFS)Authors:Pauline Scheelbeek;
Pauline Scheelbeek
Pauline Scheelbeek in OpenAIREPratik Pokharel;
Pratik Pokharel
Pratik Pokharel in OpenAIREEranga K. Galappaththi;
Eranga K. Galappaththi; +28 AuthorsEranga K. Galappaththi
Eranga K. Galappaththi in OpenAIREPauline Scheelbeek;
Pauline Scheelbeek
Pauline Scheelbeek in OpenAIREPratik Pokharel;
Pratik Pokharel
Pratik Pokharel in OpenAIREEranga K. Galappaththi;
Eranga K. Galappaththi;Eranga K. Galappaththi
Eranga K. Galappaththi in OpenAIREStephanie E. Austin;
Stephanie E. Austin
Stephanie E. Austin in OpenAIRETim Ensor;
Tim Ensor
Tim Ensor in OpenAIREMax Callaghan;
Max Callaghan
Max Callaghan in OpenAIREKaty Davis;
Katy Davis
Katy Davis in OpenAIRECarol Zavaleta-Cortijo;
Carol Zavaleta-Cortijo
Carol Zavaleta-Cortijo in OpenAIREPatricia Nayna Schwerdtle;
Patricia Nayna Schwerdtle
Patricia Nayna Schwerdtle in OpenAIREAnne J. Sietsma;
Anne J. Sietsma
Anne J. Sietsma in OpenAIREGrace Turner;
Tara Chen;Grace Turner
Grace Turner in OpenAIREIssah J Musah-Surugu;
Issah J Musah-Surugu
Issah J Musah-Surugu in OpenAIREJames D. Ford;
James D. Ford
James D. Ford in OpenAIREAlan D. Dangour;
Alan D. Dangour
Alan D. Dangour in OpenAIREMariella Siña;
Mariella Siña
Mariella Siña in OpenAIRESienna Templeman;
Sienna Templeman
Sienna Templeman in OpenAIREIdowu Ajibade;
Stephanie Jarmul;Idowu Ajibade
Idowu Ajibade in OpenAIREJan C. Minx;
Jan C. Minx
Jan C. Minx in OpenAIREElphin Tom Joe;
Elphin Tom Joe
Elphin Tom Joe in OpenAIREAlcade C Segnon;
Alcade C Segnon;Alcade C Segnon
Alcade C Segnon in OpenAIREKathryn Bowen;
Kathryn Bowen;Kathryn Bowen
Kathryn Bowen in OpenAIREGiulia Scarpa;
Giulia Scarpa
Giulia Scarpa in OpenAIRELea Berrang-Ford;
Lea Berrang-Ford
Lea Berrang-Ford in OpenAIREGabriela Nagle Alverio;
Gabriela Nagle Alverio
Gabriela Nagle Alverio in OpenAIREJiren Xu;
Jiren Xu
Jiren Xu in OpenAIREEunice A Salubi;
Eunice A Salubi
Eunice A Salubi in OpenAIRERobbert Biesbroek;
Robbert Biesbroek
Robbert Biesbroek in OpenAIREpmid: 34267795
pmc: PMC8276060
handle: 10919/108113 , 20.500.12866/9895 , 11343/287397 , 10568/114767
pmid: 34267795
pmc: PMC8276060
handle: 10919/108113 , 20.500.12866/9895 , 11343/287397 , 10568/114767
Abstract Climate change adaptation responses are being developed and delivered in many parts of the world in the absence of detailed knowledge of their effects on public health. Here we present the results of a systematic review of peer-reviewed literature reporting the effects on health of climate change adaptation responses in low- and middle-income countries (LMICs). The review used the ‘Global Adaptation Mapping Initiative’ database (comprising 1682 publications related to climate change adaptation responses) that was constructed through systematic literature searches in Scopus, Web of Science and Google Scholar (2013–2020). For this study, further screening was performed to identify studies from LMICs reporting the effects on human health of climate change adaptation responses. Studies were categorised by study design and data were extracted on geographic region, population under investigation, type of adaptation response and reported health effects. The review identified 99 studies (1117 reported outcomes), reporting evidence from 66 LMICs. Only two studies were ex ante formal evaluations of climate change adaptation responses. Papers reported adaptation responses related to flooding, rainfall, drought and extreme heat, predominantly through behaviour change, and infrastructural and technological improvements. Reported (direct and intermediate) health outcomes included reduction in infectious disease incidence, improved access to water/sanitation and improved food security. All-cause mortality was rarely reported, and no papers were identified reporting on maternal and child health. Reported maladaptations were predominantly related to widening of inequalities and unforeseen co-harms. Reporting and publication-bias seems likely with only 3.5% of all 1117 health outcomes reported to be negative. Our review identified some evidence that climate change adaptation responses may have benefits for human health but the overall paucity of evidence is concerning and represents a major missed opportunity for learning. There is an urgent need for greater focus on the funding, design, evaluation and standardised reporting of the effects on health of climate change adaptation responses to enable evidence-based policy action.
CORE arrow_drop_down COREArticle . 2021License: CC BYFull-Text: https://eprints.whiterose.ac.uk/177072/2/Scheelbeek_2021_Environ._Res._Lett._16_073001.pdfData sources: CORECORE (RIOXX-UK Aggregator)Article . 2021License: CC BYFull-Text: https://eprints.whiterose.ac.uk/177072/2/Scheelbeek_2021_Environ._Res._Lett._16_073001.pdfData sources: CORE (RIOXX-UK Aggregator)The University of Melbourne: Digital RepositoryArticle . 2021License: CC BYFull-Text: http://hdl.handle.net/11343/287397Data sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2021License: CC BYFull-Text: https://hdl.handle.net/10568/114767Data sources: Bielefeld Academic Search Engine (BASE)Wageningen Staff PublicationsArticle . 2021License: CC BYData sources: Wageningen Staff PublicationsPublication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)Portland State University: PDXScholarArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/ac092c&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 63 citations 63 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert CORE arrow_drop_down COREArticle . 2021License: CC BYFull-Text: https://eprints.whiterose.ac.uk/177072/2/Scheelbeek_2021_Environ._Res._Lett._16_073001.pdfData sources: CORECORE (RIOXX-UK Aggregator)Article . 2021License: CC BYFull-Text: https://eprints.whiterose.ac.uk/177072/2/Scheelbeek_2021_Environ._Res._Lett._16_073001.pdfData sources: CORE (RIOXX-UK Aggregator)The University of Melbourne: Digital RepositoryArticle . 2021License: CC BYFull-Text: http://hdl.handle.net/11343/287397Data sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2021License: CC BYFull-Text: https://hdl.handle.net/10568/114767Data sources: Bielefeld Academic Search Engine (BASE)Wageningen Staff PublicationsArticle . 2021License: CC BYData sources: Wageningen Staff PublicationsPublication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)Portland State University: PDXScholarArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/ac092c&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021 GermanyPublisher:IOP Publishing Authors:Anne J Sietsma;
Anne J Sietsma
Anne J Sietsma in OpenAIREJames D Ford;
James D Ford
James D Ford in OpenAIREMax W Callaghan;
Max W Callaghan
Max W Callaghan in OpenAIREJan C Minx;
Jan C Minx
Jan C Minx in OpenAIREAbstract The scientific literature on climate change adaptation has become too large to assess manually. Beyond standard scientometrics, questions about if and how the field is progressing thus remain largely unanswered. Here we provide a novel, inquisitive, computer-assisted evidence mapping methodology that combines expert interviews (n = 26) and structural topic modelling to evaluate open-ended research questions on progress in the field. We apply this to 62 191 adaptation-relevant scientific publications (1988–2020), selected through supervised machine learning from a comprehensive climate change query. Comparing the literature to key benchmarks of mature adaptation research, our findings align with trends in the adaptation literature observed by most experts: the field is maturing, growing rapidly, and diversifying, with social science and implementation topics arising next to the still-dominant natural sciences and impacts-focused research. Formally assessing the representativeness of IPCC citations, we find evidence of a delay effect for fast-growing areas of research like adaptation strategies and governance. Similarly, we show significant topic biases by geographic location: especially disaster and development-related topics are often studied in Southern countries by authors from the North, while Northern countries dominate governance topics. Moreover, there is a general paucity of research in some highly vulnerable countries. Experts lastly signal a need for meaningful stakeholder involvement. Expanding on the methods presented here would aid the comprehensive and transparent monitoring of adaptation research. For the evidence synthesis community, our methodology provides an example of how to move beyond the descriptive towards the inquisitive and formally evaluating research questions.
CORE arrow_drop_down Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/abf7f3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 56 citations 56 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert CORE arrow_drop_down Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/abf7f3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021 GermanyPublisher:IOP Publishing Authors:Anne J Sietsma;
Anne J Sietsma
Anne J Sietsma in OpenAIREJames D Ford;
James D Ford
James D Ford in OpenAIREMax W Callaghan;
Max W Callaghan
Max W Callaghan in OpenAIREJan C Minx;
Jan C Minx
Jan C Minx in OpenAIREAbstract The scientific literature on climate change adaptation has become too large to assess manually. Beyond standard scientometrics, questions about if and how the field is progressing thus remain largely unanswered. Here we provide a novel, inquisitive, computer-assisted evidence mapping methodology that combines expert interviews (n = 26) and structural topic modelling to evaluate open-ended research questions on progress in the field. We apply this to 62 191 adaptation-relevant scientific publications (1988–2020), selected through supervised machine learning from a comprehensive climate change query. Comparing the literature to key benchmarks of mature adaptation research, our findings align with trends in the adaptation literature observed by most experts: the field is maturing, growing rapidly, and diversifying, with social science and implementation topics arising next to the still-dominant natural sciences and impacts-focused research. Formally assessing the representativeness of IPCC citations, we find evidence of a delay effect for fast-growing areas of research like adaptation strategies and governance. Similarly, we show significant topic biases by geographic location: especially disaster and development-related topics are often studied in Southern countries by authors from the North, while Northern countries dominate governance topics. Moreover, there is a general paucity of research in some highly vulnerable countries. Experts lastly signal a need for meaningful stakeholder involvement. Expanding on the methods presented here would aid the comprehensive and transparent monitoring of adaptation research. For the evidence synthesis community, our methodology provides an example of how to move beyond the descriptive towards the inquisitive and formally evaluating research questions.
CORE arrow_drop_down Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/abf7f3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 56 citations 56 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert CORE arrow_drop_down Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/abf7f3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2020Publisher:Zenodo Authors:Berrang-Ford, Lea;
Berrang-Ford, Lea
Berrang-Ford, Lea in OpenAIRESietsma, Anne J.;
Sietsma, Anne J.
Sietsma, Anne J. in OpenAIRECallagham, Max;
Callagham, Max
Callagham, Max in OpenAIREMinx, Jan;
+5 AuthorsMinx, Jan
Minx, Jan in OpenAIREBerrang-Ford, Lea;
Berrang-Ford, Lea
Berrang-Ford, Lea in OpenAIRESietsma, Anne J.;
Sietsma, Anne J.
Sietsma, Anne J. in OpenAIRECallagham, Max;
Callagham, Max
Callagham, Max in OpenAIREMinx, Jan;
Scheelbeek, Pauline; Haddaway, Neal R.; Haines, Andy; Belesova, Kristine; Dangour, Alan D.;Minx, Jan
Minx, Jan in OpenAIREThis document provides extended materials (similar to Supplemental Materials or an Appendix) to the paper, Mapping global research on climate and health using machine learning (systematic protocol), including: 1. Detailed screening and tagging criteria used for document screening and coding 2. ROSES Systematic Mapping checklist The full protocol paper (Mapping global research on climate and health using machine learning (systematic protocol)) is submitted to Wellcome Open Research. The abstract of the full protocol is below: Background: Climate change is already affecting health in populations around the world, threatening to undermine the past 50 years of global gains in public health. Health is not only affected by climate change via many causal pathways, but also by the emissions that drive climate change and their co-pollutants. Yet there has been relatively limited synthesis of key insights and trends at a global scale across fragmented disciplines. Compounding this, an exponentially increasing literature means that conventional evidence synthesis methods are no longer sufficient or feasible. Here, we outline a protocol using machine learning approaches to systematically synthesize global evidence on the relationship between climate change, climate variability, and weather (CCVW) and human health. Methods: We will use supervised machine learning to screen over 300,000 scientific articles combining terms related to CCVW and human health. Our inclusion criteria comprise articles published between 2013 and 2020 that focus on empirical assessment of: CCVW impacts on human health or health-related outcomes or health systems; relate to the health impacts of mitigation strategies; or focus on adaptation strategies to the health impacts of climate change. We will use supervised machine learning (topic modeling) to categorize included articles as relevant to impacts, mitigation, and/or adaptation, and extract geographical location of studies. Unsupervised machine learning using topic modeling will be used to identify and map key topics in the literature on climate and health, with outputs including evidence heat maps, geographic maps, and narrative synthesis of trends in climate-health publishing. To our knowledge, this will represent the first comprehensive, semi-automated, systematic evidence synthesis of the scientific literature on climate and health. This document provides the Extended Materials only. The full Protocol is available via Wellcome Open Research.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4320687&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
visibility 10visibility views 10 download downloads 8 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4320687&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2020Publisher:Zenodo Authors:Berrang-Ford, Lea;
Berrang-Ford, Lea
Berrang-Ford, Lea in OpenAIRESietsma, Anne J.;
Sietsma, Anne J.
Sietsma, Anne J. in OpenAIRECallagham, Max;
Callagham, Max
Callagham, Max in OpenAIREMinx, Jan;
+5 AuthorsMinx, Jan
Minx, Jan in OpenAIREBerrang-Ford, Lea;
Berrang-Ford, Lea
Berrang-Ford, Lea in OpenAIRESietsma, Anne J.;
Sietsma, Anne J.
Sietsma, Anne J. in OpenAIRECallagham, Max;
Callagham, Max
Callagham, Max in OpenAIREMinx, Jan;
Scheelbeek, Pauline; Haddaway, Neal R.; Haines, Andy; Belesova, Kristine; Dangour, Alan D.;Minx, Jan
Minx, Jan in OpenAIREThis document provides extended materials (similar to Supplemental Materials or an Appendix) to the paper, Mapping global research on climate and health using machine learning (systematic protocol), including: 1. Detailed screening and tagging criteria used for document screening and coding 2. ROSES Systematic Mapping checklist The full protocol paper (Mapping global research on climate and health using machine learning (systematic protocol)) is submitted to Wellcome Open Research. The abstract of the full protocol is below: Background: Climate change is already affecting health in populations around the world, threatening to undermine the past 50 years of global gains in public health. Health is not only affected by climate change via many causal pathways, but also by the emissions that drive climate change and their co-pollutants. Yet there has been relatively limited synthesis of key insights and trends at a global scale across fragmented disciplines. Compounding this, an exponentially increasing literature means that conventional evidence synthesis methods are no longer sufficient or feasible. Here, we outline a protocol using machine learning approaches to systematically synthesize global evidence on the relationship between climate change, climate variability, and weather (CCVW) and human health. Methods: We will use supervised machine learning to screen over 300,000 scientific articles combining terms related to CCVW and human health. Our inclusion criteria comprise articles published between 2013 and 2020 that focus on empirical assessment of: CCVW impacts on human health or health-related outcomes or health systems; relate to the health impacts of mitigation strategies; or focus on adaptation strategies to the health impacts of climate change. We will use supervised machine learning (topic modeling) to categorize included articles as relevant to impacts, mitigation, and/or adaptation, and extract geographical location of studies. Unsupervised machine learning using topic modeling will be used to identify and map key topics in the literature on climate and health, with outputs including evidence heat maps, geographic maps, and narrative synthesis of trends in climate-health publishing. To our knowledge, this will represent the first comprehensive, semi-automated, systematic evidence synthesis of the scientific literature on climate and health. This document provides the Extended Materials only. The full Protocol is available via Wellcome Open Research.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
visibility 10visibility views 10 download downloads 8 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2020Publisher:Zenodo Authors:Berrang-Ford, Lea;
Berrang-Ford, Lea
Berrang-Ford, Lea in OpenAIRESietsma, Anne J.;
Sietsma, Anne J.
Sietsma, Anne J. in OpenAIRECallagham, Max;
Callagham, Max
Callagham, Max in OpenAIREMinx, Jan;
+5 AuthorsMinx, Jan
Minx, Jan in OpenAIREBerrang-Ford, Lea;
Berrang-Ford, Lea
Berrang-Ford, Lea in OpenAIRESietsma, Anne J.;
Sietsma, Anne J.
Sietsma, Anne J. in OpenAIRECallagham, Max;
Callagham, Max
Callagham, Max in OpenAIREMinx, Jan;
Scheelbeek, Pauline; Haddaway, Neal R.; Haines, Andy; Belesova, Kristine; Dangour, Alan D.;Minx, Jan
Minx, Jan in OpenAIREThis document provides extended materials (similar to Supplemental Materials or an Appendix) to the paper, Mapping global research on climate and health using machine learning (systematic protocol), including: 1. Detailed screening and tagging criteria used for document screening and coding 2. Detailed scope of inclusions & exclusions 3. ROSES Systematic Mapping checklist The full protocol paper (Mapping global research on climate and health using machine learning (systematic protocol)) is submitted to Wellcome Open Research. The abstract of the full protocol is below: Background: Climate change is already affecting health in populations around the world, threatening to undermine the past 50 years of global gains in public health. Health is not only affected by climate change via many causal pathways, but also by the emissions that drive climate change and their co-pollutants. Yet there has been relatively limited synthesis of key insights and trends at a global scale across fragmented disciplines. Compounding this, an exponentially increasing literature means that conventional evidence synthesis methods are no longer sufficient or feasible. Here, we outline a protocol using machine learning approaches to systematically synthesize global evidence on the relationship between climate change, climate variability, and weather (CCVW) and human health. Methods: We will use supervised machine learning to screen over 300,000 scientific articles combining terms related to CCVW and human health. Our inclusion criteria comprise articles published between 2013 and 2020 that focus on empirical assessment of: CCVW impacts on human health or health-related outcomes or health systems; relate to the health impacts of mitigation strategies; or focus on adaptation strategies to the health impacts of climate change. We will use supervised machine learning (topic modeling) to categorize included articles as relevant to impacts, mitigation, and/or adaptation, and extract geographical location of studies. Unsupervised machine learning using topic modeling will be used to identify and map key topics in the literature on climate and health, with outputs including evidence heat maps, geographic maps, and narrative synthesis of trends in climate-health publishing. To our knowledge, this will represent the first comprehensive, semi-automated, systematic evidence synthesis of the scientific literature on climate and health. This document provides the Extended Materials only. The full Protocol is available via Wellcome Open Research. This second version includes the addition of detailed information on the scope of inclusions and exclusions.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4352030&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
visibility 53visibility views 53 download downloads 48 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4352030&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2020Publisher:Zenodo Authors:Berrang-Ford, Lea;
Berrang-Ford, Lea
Berrang-Ford, Lea in OpenAIRESietsma, Anne J.;
Sietsma, Anne J.
Sietsma, Anne J. in OpenAIRECallagham, Max;
Callagham, Max
Callagham, Max in OpenAIREMinx, Jan;
+5 AuthorsMinx, Jan
Minx, Jan in OpenAIREBerrang-Ford, Lea;
Berrang-Ford, Lea
Berrang-Ford, Lea in OpenAIRESietsma, Anne J.;
Sietsma, Anne J.
Sietsma, Anne J. in OpenAIRECallagham, Max;
Callagham, Max
Callagham, Max in OpenAIREMinx, Jan;
Scheelbeek, Pauline; Haddaway, Neal R.; Haines, Andy; Belesova, Kristine; Dangour, Alan D.;Minx, Jan
Minx, Jan in OpenAIREThis document provides extended materials (similar to Supplemental Materials or an Appendix) to the paper, Mapping global research on climate and health using machine learning (systematic protocol), including: 1. Detailed screening and tagging criteria used for document screening and coding 2. Detailed scope of inclusions & exclusions 3. ROSES Systematic Mapping checklist The full protocol paper (Mapping global research on climate and health using machine learning (systematic protocol)) is submitted to Wellcome Open Research. The abstract of the full protocol is below: Background: Climate change is already affecting health in populations around the world, threatening to undermine the past 50 years of global gains in public health. Health is not only affected by climate change via many causal pathways, but also by the emissions that drive climate change and their co-pollutants. Yet there has been relatively limited synthesis of key insights and trends at a global scale across fragmented disciplines. Compounding this, an exponentially increasing literature means that conventional evidence synthesis methods are no longer sufficient or feasible. Here, we outline a protocol using machine learning approaches to systematically synthesize global evidence on the relationship between climate change, climate variability, and weather (CCVW) and human health. Methods: We will use supervised machine learning to screen over 300,000 scientific articles combining terms related to CCVW and human health. Our inclusion criteria comprise articles published between 2013 and 2020 that focus on empirical assessment of: CCVW impacts on human health or health-related outcomes or health systems; relate to the health impacts of mitigation strategies; or focus on adaptation strategies to the health impacts of climate change. We will use supervised machine learning (topic modeling) to categorize included articles as relevant to impacts, mitigation, and/or adaptation, and extract geographical location of studies. Unsupervised machine learning using topic modeling will be used to identify and map key topics in the literature on climate and health, with outputs including evidence heat maps, geographic maps, and narrative synthesis of trends in climate-health publishing. To our knowledge, this will represent the first comprehensive, semi-automated, systematic evidence synthesis of the scientific literature on climate and health. This document provides the Extended Materials only. The full Protocol is available via Wellcome Open Research. This second version includes the addition of detailed information on the scope of inclusions and exclusions.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4352030&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
visibility 53visibility views 53 download downloads 48 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4352030&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2024Publisher:Zenodo Authors:Nájera Espinosa, Sarah;
Nájera Espinosa, Sarah
Nájera Espinosa, Sarah in OpenAIREJelmar Sietsma, Anne;
Jelmar Sietsma, Anne
Jelmar Sietsma, Anne in OpenAIREThe zip file included in this release contains the Jupyter Notebooks with all the code used for machine learning in our submission to the Nutrition Reviews Journal: Nájera Espinosa S. et al. Mapping the evidence of novel plant-based foods: a systematic review of nutritional, health, and environmental impacts in high-income countries, Nutrition Reviews, 2024, nuae031, https://doi.org/10.1093/nutrit/nuae031
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7116388&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7116388&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2024Publisher:Zenodo Authors:Nájera Espinosa, Sarah;
Nájera Espinosa, Sarah
Nájera Espinosa, Sarah in OpenAIREJelmar Sietsma, Anne;
Jelmar Sietsma, Anne
Jelmar Sietsma, Anne in OpenAIREThe zip file included in this release contains the Jupyter Notebooks with all the code used for machine learning in our submission to the Nutrition Reviews Journal: Nájera Espinosa S. et al. Mapping the evidence of novel plant-based foods: a systematic review of nutritional, health, and environmental impacts in high-income countries, Nutrition Reviews, 2024, nuae031, https://doi.org/10.1093/nutrit/nuae031
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7116388&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7116388&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu