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Laino E, Paranunzio R, Iglesias G. Scientometric review on multiple climate-related hazards indices. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 945:174004. [PMID: 38901582 DOI: 10.1016/j.scitotenv.2024.174004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 06/06/2024] [Accepted: 06/12/2024] [Indexed: 06/22/2024]
Abstract
As the spectre of climate change looms large, there is an increasing imperative to develop comprehensive risk assessment tools. The purpose of this work is to evaluate the evolution and current state of research on multi-hazard indices associated with climate-related hazards, highlighting their crucial role in effective risk assessment amidst the growing challenges of climate change. A notable gap in cross-regional comparative studies persists, presenting an opportunity for future research to enhance global understanding and foster universal resilience strategies. However, a significant surge in research output is apparent, following key global milestones related to climate change action. The research landscape is shown to be highly responsive to international policy developments, increasingly adopting interdisciplinary approaches that integrate physical, social, and technological dimensions. Findings reveal a robust emphasis on geospatial analysis and the development of various indices that transform abstract climate risks into actionable data, underscoring a trend towards localized, context-specific vulnerability assessments. Based on dataset systematically curated under the PRISMA guidelines, the review explores how prevailing research themes are reflected in influential journals and author networks, mapping out a dynamic and expanding academic community. Moreover, this work provides critical insights into the underlying literature by conducting a thematic analysis on the typology of studies, the focus on coastal areas, the inclusion of climate change scenarios, the geographical coverage, and the types of climate-related hazards. The practical implications of this review are profound, providing policymakers and practitioners with meaningful insights to enhance climate change mitigation and adaptation efforts through the application of index-based methodologies. By charting a course for future scholarly endeavours, this article aims to strengthen the scientific foundations supporting resilient and adaptive strategies for regions worldwide facing the multifaceted impacts of climate change.
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Affiliation(s)
- Emilio Laino
- School of Engineering and Architecture & Environmental Research Institute, MaREI, University College Cork, Cork, Ireland
| | - Roberta Paranunzio
- National Research Council of Italy, Institute of Atmospheric Sciences and Climate, Corso Fiume, 4, 10133 Torino, Italy
| | - Gregorio Iglesias
- School of Engineering and Architecture & Environmental Research Institute, MaREI, University College Cork, Cork, Ireland; University of Plymouth, School of Engineering, Computing and Mathematics, Marine Building, Drake Circus, United Kingdom.
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Côté JN, Germain M, Levac E, Lavigne E. Vulnerability assessment of heat waves within a risk framework using artificial intelligence. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169355. [PMID: 38123103 DOI: 10.1016/j.scitotenv.2023.169355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Revised: 12/06/2023] [Accepted: 12/11/2023] [Indexed: 12/23/2023]
Abstract
Current efforts to adapt to climate change are not sufficient to reduce projected impacts. Vulnerability assessments are essential to allocate resources where they are needed most. However, current assessments that use principal component analysis suffer from multiple shortcomings and are hard to translate into concrete actions. To address these issues, this article proposes a novel data-driven vulnerability assessment within a risk framework. The framework is based on the definitions from the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, but some definitions, such as sensitivity and adaptive capacity, are clarified. Heat waves that occurred between 2001 and 2018 in Quebec (Canada) are used to validate the framework. The studied impact is the daily mortality rates per cooling degree-days (CDD) region. A vulnerability map is produced to identify the distributions of summer mortality rates in aggregate dissemination areas within each CDD region. Socioeconomic and environmental variables are used to calculate impact and vulnerability. We compared abilities of AutoGluon (an AutoML framework), Gaussian process, and deep Gaussian process to model the impact and vulnerability. We offer advice on how to avoid common pitfalls with artificial intelligence and machine-learning algorithms. Gaussian process is a promising approach for supporting the proposed framework. SHAP values provide an explanation for the model results and are consistent with current knowledge of vulnerability. Recommendations are made to implement the proposed framework quantitatively or qualitatively.
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Affiliation(s)
- Jean-Nicolas Côté
- Department of Applied Geomatics, Université de Sherbrooke, 2500, boulevard de l'Université, Sherbrooke J1K 2R1, Quebec, Canada.
| | - Mickaël Germain
- Department of Applied Geomatics, Université de Sherbrooke, 2500, boulevard de l'Université, Sherbrooke J1K 2R1, Quebec, Canada
| | - Elisabeth Levac
- Department of Environment, Agriculture and Geography, Bishop's University, 2600 College St., Sherbrooke J1M 1Z7, Quebec, Canada
| | - Eric Lavigne
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada; School of Epidemiology & Public Health, University of Ottawa, Ottawa, Ontario, Canada
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Hess JJ, Sheehan TJ, Miller A, Cunningham R, Errett NA, Isaksen TB, Vogel J, Ebi KL. A novel climate and health decision support platform: Approach, outputs, and policy considerations. ENVIRONMENTAL RESEARCH 2023; 234:116530. [PMID: 37394172 DOI: 10.1016/j.envres.2023.116530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 06/14/2023] [Accepted: 06/29/2023] [Indexed: 07/04/2023]
Abstract
BACKGROUND The adverse health impacts of climate change are increasingly apparent and the need for adaptation activities is pressing. Risks, drivers, and decision contexts vary significantly by location, and high-resolution, place-based information is needed to support decision analysis and risk reduction efforts at scale. METHODS Using the Intergovernmental Panel on Climate Change (IPCC) risk framework, we developed a causal pathway linking heat with a composite outcome of heat-related morbidity and mortality. We used an existing systematic literature review to identify variables for inclusion and the authors' expert judgment to determine variable combinations in a hierarchical model. We parameterized the model for Washington state using observational (1991-2020 and June 2021 extreme heat event) and scenario-driven temperature projections (2036-2065), compared outputs against relevant existing indices, and analyzed sensitivity to model structure and variable parameterization. We used descriptive statistics, maps, visualizations and correlation analyses to present results. RESULTS The Climate and Health Risk Tool (CHaRT) heat risk model contains 25 primary hazard, exposure, and vulnerability variables and multiple levels of variable combinations. The model estimates population-weighted and unweighted heat health risk for selected periods and displays estimates on an online visualization platform. Population-weighted risk is historically moderate and primarily limited by hazard, increasing significantly during extreme heat events. Unweighted risk is helpful in identifying lower population areas that have high vulnerability and hazard. Model vulnerability correlate well with existing vulnerability and environmental justice indices. DISCUSSION The tool provides location-specific insights into risk drivers and prioritization of risk reduction interventions including population-specific behavioral interventions and built environment modifications. Insights from causal pathways linking climate-sensitive hazards and adverse health impacts can be used to generate hazard-specific models to support adaptation planning.
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Affiliation(s)
- Jeremy J Hess
- Center for Health and the Global Environment, University of Washington, Seattle, WA, USA; Department of Emergency Medicine, School of Medicine, University of Washington, Seattle, WA, USA; Department of Environmental and Occupational Health Science, School of Public Health, University of Washington, Seattle, WA, USA; Department of Global Health, Schools of Medicine and Public Health, University of Washington, Seattle, WA, USA.
| | - Timothy J Sheehan
- Center for Health and the Global Environment, University of Washington, Seattle, WA, USA; Department of Environmental and Occupational Health Science, School of Public Health, University of Washington, Seattle, WA, USA
| | - Alyssa Miller
- Center for Health and the Global Environment, University of Washington, Seattle, WA, USA; Department of Environmental and Occupational Health Science, School of Public Health, University of Washington, Seattle, WA, USA
| | | | - Nicole A Errett
- Center for Health and the Global Environment, University of Washington, Seattle, WA, USA; Department of Environmental and Occupational Health Science, School of Public Health, University of Washington, Seattle, WA, USA
| | - Tania Busch Isaksen
- Center for Health and the Global Environment, University of Washington, Seattle, WA, USA; Department of Environmental and Occupational Health Science, School of Public Health, University of Washington, Seattle, WA, USA
| | - Jason Vogel
- Climate Impacts Group, College of the Environment, University of Washington, Seattle, WA, USA
| | - Kristie L Ebi
- Center for Health and the Global Environment, University of Washington, Seattle, WA, USA; Department of Environmental and Occupational Health Science, School of Public Health, University of Washington, Seattle, WA, USA; Department of Global Health, Schools of Medicine and Public Health, University of Washington, Seattle, WA, USA
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Valdez Fernández AL, Fernández-Silva CA, Bittner Hofmann CX, Mancilla Mancilla CR. Aproximaciones al concepto de vulnerabilidad desde la bioética: una revisión integradora. PERSONA Y BIOÉTICA 2022. [DOI: 10.5294/pebi.2021.25.2.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Para dar cuenta de la revisión integradora de literatura sobre el concepto de vulnerabilidad desde la bioética se analizó un corpus de 60 artículos publicados en español, inglés y portugués. Esto permitió identificar las tendencias temáticas: riesgo, susceptibilidad, autonomía y cultura en personas y comunidades; la aproximación metodológica ha sido mayormente desde un enfoque cualitativo; las disciplinas que más abordaron el concepto pertenecen a las ciencias humanas y sociales; los autores recomiendan realizar estudios del concepto desde la perspectiva de las personas y que los comités de ética revisen el consentimiento informado y las guías de información de acuerdo con estos resultados. Las categorías dan paso al concepto de vulnerabilidades, que en la bioética debe ser analizado más allá del principialismo.
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McDermott-Levy R, Scolio M, Shakya KM, Moore CH. Factors That Influence Climate Change-Related Mortality in the United States: An Integrative Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18158220. [PMID: 34360518 PMCID: PMC8345936 DOI: 10.3390/ijerph18158220] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 07/23/2021] [Accepted: 07/29/2021] [Indexed: 12/02/2022]
Abstract
Global atmospheric warming leads to climate change that results in a cascade of events affecting human mortality directly and indirectly. The factors that influence climate change-related mortality within the peer-reviewed literature were examined using Whittemore and Knafl’s framework for an integrative review. Ninety-eight articles were included in the review from three databases—PubMed, Web of Science, and Scopus—with literature filtered by date, country, and keywords. Articles included in the review address human mortality related to climate change. The review yielded two broad themes in the literature that addressed the factors that influence climate change-related mortality. The broad themes are environmental changes, and social and demographic factors. The meteorological impacts of climate change yield a complex cascade of environmental and weather events that affect ambient temperatures, air quality, drought, wildfires, precipitation, and vector-, food-, and water-borne pathogens. The identified social and demographic factors were related to the social determinants of health. The environmental changes from climate change amplify the existing health determinants that influence mortality within the United States. Mortality data, national weather and natural disaster data, electronic medical records, and health care provider use of International Classification of Disease (ICD) 10 codes must be linked to identify climate change events to capture the full extent of climate change upon population health.
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Affiliation(s)
- Ruth McDermott-Levy
- M. Louise Fitzpatrick College of Nursing, Villanova University, Villanova, PA 19085, USA
- Correspondence:
| | - Madeline Scolio
- Department of Geography and the Environment, Villanova University, Villanova, PA 19085, USA; (M.S.); (K.M.S.)
| | - Kabindra M. Shakya
- Department of Geography and the Environment, Villanova University, Villanova, PA 19085, USA; (M.S.); (K.M.S.)
| | - Caroline H. Moore
- Georgia Baptist College of Nursing, Mercer University, Atlanta, GA 30341, USA;
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