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Luque-García L, Bataineh S, Al-Bakri J, Abdulla FA, Al-Delaimy WK. The heat-mortality association in Jordan: Effect modification by greenness, population density and urbanization level. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 952:176010. [PMID: 39233083 DOI: 10.1016/j.scitotenv.2024.176010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2024] [Revised: 08/10/2024] [Accepted: 09/01/2024] [Indexed: 09/06/2024]
Abstract
BACKGROUND The Middle East is one of the most vulnerable regions to the impacts of climate change, yet evidence of the heat-related mortality remains limited in this area. Our present study investigated the heat-mortality association in Jordan and the potential modifying effect of greenness, population density and urbanization level on the association. METHODS For each of the 42 included districts, daily meteorological and mortality data from 2000 to 2020 were obtained for the warmest months (May to September). First, a distributed lag non-linear model was applied to estimate the district level heat-mortality association, then the district specific estimates were pooled using multivariate meta-regression models to obtain an overall estimate. Last, the modifying effect of district level greenness, population density and urbanization level was examined through subgroup analysis. RESULTS When compared to the minimum mortality temperature (MMT, percentile 0th, 22.20 °C), the 99th temperature percentile exhibited a relative risk (RR) of 1.34 (95 % CI 1.23, 1.45). Districts with low greenness had a higher heat-mortality risk (RR 1.39, 95 % CI 1.22, 1.58) when compared to the high greenness (RR 1.28, 95 % CI 1.13, 1.45). While heat-mortality risk did not significantly differ between population density subgroups, highly urbanized districts had a greater heat-mortality risk (RR 1.41, 95 % CI 1.23, 1.62) as compared to ones with low levels of urbanization (RR 1.32, 95 % CI 1.13, 1.55). Districts with high urbanization level had the highest heat-mortality risk if they were further categorized as having low greenness (RR 1.63, 95 % CI 1.30, 2.04). CONCLUSION Exposure to heat was associated with increased mortality risk in Jordan. This risk was higher in districts with low greenness and high urbanization level. As climate change-related heat mortality will be on the rise, early warning systems in highly vulnerable communities in Jordan are required and greening initiatives should be pursued.
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Affiliation(s)
- L Luque-García
- Department of Preventive Medicine and Public Health, Faculty of Medicine, University of the Basque Country (UPV/EHU), Leioa 48940, Spain; Biogipuzkoa Health Research Institute, Group of Environmental Epidemiology and Child Development, Paseo Doctor Begiristain s/n, 20014 Donostia-San Sebastián, Spain; Osakidetza Basque Health Service, Goierri Alto-Urola Integrated Health Organisation, Zumarraga Hospital, Zumarraga 20700, Spain
| | - S Bataineh
- Civil Engineering Department, Jordan University of Science and Technology, Irbid 22110, Jordan
| | - J Al-Bakri
- Department of Land, Water and Environment, School of Agriculture, The University of Jordan, Amman 11942, Jordan
| | - F A Abdulla
- Civil Engineering Department, Jordan University of Science and Technology, Irbid 22110, Jordan
| | - W K Al-Delaimy
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, United States.
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Dyer GMC, Khomenko S, Adlakha D, Anenberg S, Behnisch M, Boeing G, Esperon-Rodriguez M, Gasparrini A, Khreis H, Kondo MC, Masselot P, McDonald RI, Montana F, Mitchell R, Mueller N, Nawaz MO, Pisoni E, Prieto-Curiel R, Rezaei N, Taubenböck H, Tonne C, Velázquez-Cortés D, Nieuwenhuijsen M. Exploring the nexus of urban form, transport, environment and health in large-scale urban studies: A state-of-the-art scoping review. ENVIRONMENTAL RESEARCH 2024; 257:119324. [PMID: 38844028 DOI: 10.1016/j.envres.2024.119324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Revised: 05/30/2024] [Accepted: 05/31/2024] [Indexed: 06/15/2024]
Abstract
BACKGROUND As the world becomes increasingly urbanised, there is recognition that public and planetary health relies upon a ubiquitous transition to sustainable cities. Disentanglement of the complex pathways of urban design, environmental exposures, and health, and the magnitude of these associations, remains a challenge. A state-of-the-art account of large-scale urban health studies is required to shape future research priorities and equity- and evidence-informed policies. OBJECTIVES The purpose of this review was to synthesise evidence from large-scale urban studies focused on the interaction between urban form, transport, environmental exposures, and health. This review sought to determine common methodologies applied, limitations, and future opportunities for improved research practice. METHODS Based on a literature search, 2958 articles were reviewed that covered three themes of: urban form; urban environmental health; and urban indicators. Studies were prioritised for inclusion that analysed at least 90 cities to ensure broad geographic representation and generalisability. Of the initially identified studies, following expert consultation and exclusion criteria, 66 were included. RESULTS The complexity of the urban ecosystem on health was evidenced from the context dependent effects of urban form variables on environmental exposures and health. Compact city designs were generally advantageous for reducing harmful environmental exposure and promoting health, with some exceptions. Methodological heterogeneity was indicative of key urban research challenges; notable limitations included exposure and health data at varied spatial scales and resolutions, limited availability of local-level sociodemographic data, and the lack of consensus on robust methodologies that encompass best research practice. CONCLUSION Future urban environmental health research for evidence-informed urban planning and policies requires a multi-faceted approach. Advances in geospatial and AI-driven techniques and urban indicators offer promising developments; however, there remains a wider call for increased data availability at local-levels, transparent and robust methodologies of large-scale urban studies, and greater exploration of urban health vulnerabilities and inequities.
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Affiliation(s)
- Georgia M C Dyer
- Barcelona Institute for Global Health (ISGlobal), Doctor Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Doctor Aiguader 88, 08003, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Melchor Fern'andez Almagro, 3-5, 28029, Madrid, Spain
| | - Sasha Khomenko
- Barcelona Institute for Global Health (ISGlobal), Doctor Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Doctor Aiguader 88, 08003, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Melchor Fern'andez Almagro, 3-5, 28029, Madrid, Spain
| | - Deepti Adlakha
- Delft University of Technology, Mekelweg 5, 2628, Delft, Netherlands
| | - Susan Anenberg
- Environmental and Occupational Health Department, George Washington University, Milken Institute School of Public Health, 20052, New Hampshire Avenue, Washington, District of Colombia, United States
| | - Martin Behnisch
- Leibniz Institute of Ecological Urban and Regional Development, Weberpl 1, 01217, Dresden, Germany
| | - Geoff Boeing
- University of Southern California, 90007, Los Angeles, United States
| | - Manuel Esperon-Rodriguez
- Hawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia; School of Science, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia
| | - Antonio Gasparrini
- Environment & Health Modelling (EHM) Lab, Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, 15-17 Tavistock Place, WC1E 7HT, London, United Kingdom
| | - Haneen Khreis
- MRC Epidemiology Unit, Cambridge University, CB2 0AH, Cambridge, United Kingdom
| | - Michelle C Kondo
- USDA-Forest Service, Northern Research Station, 100 North 20th Street, Ste 205, 19103, Philadelphia, PA, United States
| | - Pierre Masselot
- Environment & Health Modelling (EHM) Lab, Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, 15-17 Tavistock Place, WC1E 7HT, London, United Kingdom
| | - Robert I McDonald
- The Nature Conservancy, 4245 North Fairfax Drive Arlington, 22203, Virginia, United States
| | - Federica Montana
- Barcelona Institute for Global Health (ISGlobal), Doctor Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Doctor Aiguader 88, 08003, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Melchor Fern'andez Almagro, 3-5, 28029, Madrid, Spain
| | - Rich Mitchell
- Institute of Health and Wellbeing, University of Glasgow, 90 Byres Road, Glasgow, G20 0TY, United Kingdom
| | - Natalie Mueller
- Barcelona Institute for Global Health (ISGlobal), Doctor Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Doctor Aiguader 88, 08003, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Melchor Fern'andez Almagro, 3-5, 28029, Madrid, Spain
| | - M Omar Nawaz
- Environmental and Occupational Health Department, George Washington University, Milken Institute School of Public Health, 20052, New Hampshire Avenue, Washington, District of Colombia, United States
| | - Enrico Pisoni
- European Commission, Joint Research Centre (JRC), 2749, Ispra, Italy
| | | | - Nazanin Rezaei
- University of California Santa Cruz, 1156 High Street, 95064, California, United States
| | - Hannes Taubenböck
- German Aerospace Centre (DLR), Earth Observation Center (EOC), 82234, Oberpfaffenhofen, Germany; Institute for Geography and Geology, Julius-Maximilians-Universität Würzburg, 97074, Würzburg, Germany
| | - Cathryn Tonne
- Barcelona Institute for Global Health (ISGlobal), Doctor Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Doctor Aiguader 88, 08003, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Melchor Fern'andez Almagro, 3-5, 28029, Madrid, Spain
| | - Daniel Velázquez-Cortés
- Barcelona Institute for Global Health (ISGlobal), Doctor Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Doctor Aiguader 88, 08003, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Melchor Fern'andez Almagro, 3-5, 28029, Madrid, Spain
| | - Mark Nieuwenhuijsen
- Barcelona Institute for Global Health (ISGlobal), Doctor Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Doctor Aiguader 88, 08003, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Melchor Fern'andez Almagro, 3-5, 28029, Madrid, Spain.
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Kephart JL, Bilal U, Gouveia N, Sarmiento OL, Shingara E, Moreno KR, Bakhtsiyarava M, Rodriguez JP, Ayala S, Carrasco-Escobar G, Diez Roux AV. Social disparities in flood exposure and associations with the urban environment in 44,698 neighborhoods in 276 cities in eight Latin American countries. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.07.02.24309839. [PMID: 39006415 PMCID: PMC11245088 DOI: 10.1101/2024.07.02.24309839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Abstract
Background Climate change is expected to greatly increase exposure to flooding, particularly in urban populations in low- and middle-income countries. We examined within-city social disparities in exposure to flooding in 276 Latin American cities and associated features of the neighborhood urban environment. Methods We used a spatially granular dataset of historical flood events from 2000 to 2018 to describe neighborhood flooding within cities across eight Latin American countries (Argentina, Brazil, Chile, Colombia, Costa Rica, Guatemala, Mexico, and Panama). We estimated the percentage of the population living in flooded neighborhoods, described social disparities in flooding based on neighborhood educational attainment, and compared the magnitude of disparities across and within cities. We used multilevel models to examine how city- and neighborhood-level factors are related to neighborhood flooding. Results We examined 44,698 neighborhoods in 276 cities from eight countries with a total of 223 million residents and 117 distinct flood events from 2000-2018. One in four residents in neighborhoods in the lowest education quintile lived in neighborhoods with flooding, compared to one in 20 residents of the highest neighborhood education quintile. Greater neighborhood flooding was associated with lower neighborhood-level educational attainment and with neighborhoods that were coastal, less dense (population or intersection), further from the city center, greener, and had steeper slopes. There was no association between city-level educational attainment and flooding. Conclusion There are large social disparities in neighborhood flooding within Latin American cities. Residents of areas with lower education attainment face substantially higher risks of flooding. Policymakers must prioritize flood adaptation and recovery efforts in neighborhoods with lower socioeconomic position.
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Affiliation(s)
- Josiah L. Kephart
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, USA
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, USA
| | - Usama Bilal
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, USA
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, USA
| | - Nelson Gouveia
- University of São Paulo Medical School, São Paulo, Brazil
| | | | - Emily Shingara
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, USA
| | | | - Maryia Bakhtsiyarava
- Institute of Transportation Studies, University of California Berkeley, Berkeley, USA
| | - Juan Pablo Rodriguez
- Department of Civil and Environmental Engineering, Universidad de Los Andes, Bogotá, Colombia
| | - Salvador Ayala
- Instituto de Salud Poblacional, Facultad de Medicina, Universidad de Chile, Santiago, Chile
| | - Gabriel Carrasco-Escobar
- Health Innovation Laboratory, Alexander von Humboldt Institute of Tropical Medicine, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Ana V Diez Roux
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, USA
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, USA
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Monteiro dos Santos D, Libonati R, Garcia BN, Geirinhas JL, Salvi BB, Lima e Silva E, Rodrigues JA, Peres LF, Russo A, Gracie R, Gurgel H, Trigo RM. Twenty-first-century demographic and social inequalities of heat-related deaths in Brazilian urban areas. PLoS One 2024; 19:e0295766. [PMID: 38265975 PMCID: PMC10807764 DOI: 10.1371/journal.pone.0295766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 11/28/2023] [Indexed: 01/26/2024] Open
Abstract
Population exposure to heat waves (HWs) is increasing worldwide due to climate change, significantly affecting society, including public health. Despite its significant vulnerabilities and limited adaptation resources to rising temperatures, South America, particularly Brazil, lacks research on the health impacts of temperature extremes, especially on the role played by socioeconomic factors in the risk of heat-related illness. Here, we present a comprehensive analysis of the effects of HWs on mortality rates in the 14 most populous urban areas, comprising approximately 35% of the country's population. Excess mortality during HWs was estimated through the observed-to-expected ratio (O/E) for total deaths during the events identified. Moreover, the interplay of intersectionality and vulnerability to heat considering demographics and socioeconomic heterogeneities, using gender, age, race, and educational level as proxies, as well as the leading causes of heat-related excess death, were assessed. A significant increase in the frequency was observed from the 1970s (0-3 HWs year-1) to the 2010s (3-11 HWs year-1), with higher tendencies in the northern, northeastern, and central-western regions. Over the 2000-2018 period, 48,075 (40,448-55,279) excessive deaths were attributed to the growing number of HWs (>20 times the number of landslides-related deaths for the same period). Nevertheless, our event-based surveillance analysis did not detect the HW-mortality nexus, reinforcing that extreme heat events are a neglected disaster in Brazil. Among the leading causes of death, diseases of the circulatory and respiratory systems and neoplasms were the most frequent. Critical regional differences were observed, which can be linked to the sharp North-South inequalities in terms of socioeconomic and health indicators, such as life expectancy. Higher heat-related excess mortality was observed for low-educational level people, blacks and browns, older adults, and females. Such findings highlight that the strengthening of primary health care combined with reducing socioeconomic, racial, and gender inequalities represents a crucial step to reducing heat-related deaths.
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Affiliation(s)
| | - Renata Libonati
- Departamento de Meteorologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
- Universidade de Lisboa, Faculdade de Ciências, Instituto Dom Luiz, Lisbon, Portugal
- Forest Research Centre, School of Agriculture, University of Lisbon, Lisbon, Portugal
| | - Beatriz N. Garcia
- Departamento de Meteorologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - João L. Geirinhas
- Universidade de Lisboa, Faculdade de Ciências, Instituto Dom Luiz, Lisbon, Portugal
| | - Barbara Bresani Salvi
- Escola Nacional de Saúde Pública Sergio Arouca - ENSP/ Fiocruz - Programa de Pós Graduação em Saúde Pública e Meio Ambiente
| | - Eliane Lima e Silva
- Departamento de Geografia, Universidade de Brasilia, Distrito Federal, Brazil
- LMI Sentinela, International Joint Laboratory “Sentinela” (Fiocruz, UnB, IRD), Distrito Federal, Brazil
| | - Julia A. Rodrigues
- Departamento de Meteorologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Leonardo F. Peres
- Departamento de Meteorologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Ana Russo
- Universidade de Lisboa, Faculdade de Ciências, Instituto Dom Luiz, Lisbon, Portugal
| | - Renata Gracie
- Instituto de Comunicação e Informação Científica e Tecnológica em Saúde - ICICT/Fiocruz Rio de Janeiro, Rio de Janeiro, Brazil
| | - Helen Gurgel
- Departamento de Geografia, Universidade de Brasilia, Distrito Federal, Brazil
- LMI Sentinela, International Joint Laboratory “Sentinela” (Fiocruz, UnB, IRD), Distrito Federal, Brazil
| | - Ricardo M. Trigo
- Departamento de Meteorologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
- Universidade de Lisboa, Faculdade de Ciências, Instituto Dom Luiz, Lisbon, Portugal
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Slovic AD, Indvik K, Soriano Martins L, Kephart JL, Swanson S, Alex Quistberg D, Moran M, Bakhtsiyarava M, Zavaleta-Cortijo C, Gouveia N, Diez Roux AV. Climate hazards in Latin American cities: Understanding the role of the social and built environments and barriers to adaptation action. CLIMATE RISK MANAGEMENT 2024; 45:100625. [PMID: 39296795 PMCID: PMC11406151 DOI: 10.1016/j.crm.2024.100625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 05/25/2024] [Accepted: 05/31/2024] [Indexed: 09/21/2024]
Abstract
Climate hazards threaten the health and wellbeing of people living in urban areas. This study characterized reported climate hazards, adaptation action, and barriers to adaptation in 124 Latin American cities, and associations of climate hazards with urban social and built environment characteristics. We examined cities that responded to a global environmental disclosure system and that were included in the Urban Health in Latin America (SALURBAL) Project database. The cities studied reported a median of three climate hazards. The most reported hazards were storms (61%) water scarcity (57%) extreme temperature (52%) and wildfires (51%). Thirty-eight percent of cities reported four or more distinct types of hazards. City size, density, GDP, and greenness were related to hazard reports, and although most cities reported taking actions to reduce vulnerability to climate change, 23% reported no actions at all. The most frequently reported actions were hazard mapping and modeling (47%) and increasing vegetation or greenspace coverage (45%). Other actions, such as air quality initiatives and urban planning, were much less common (8% and 3%, respectively). In terms of challenges in adapting to climate change, 35% of cities reported no challenges. The most frequently reported challenges were urban environment and development (43%) and living conditions (35%). Access to data, migration, public health, and safety/security were rarely reported as challenges. Our results suggest that climate hazards are recognized, but that adaptation responses are limited and that many important challenges to response action are not fully recognized. This study contributes to understanding of local priorities, ongoing actions, and required support for urban climate vulnerability assessment and adaptation responses. Findings suggest the need for future research documenting local perceptions of climate hazards and comparison with documented climate hazards.
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Affiliation(s)
| | - Katherine Indvik
- Dornsife School of Public Health, Drexel University, Philadelphia, PA, United States
| | - Lucas Soriano Martins
- Department of Preventive Medicine, University of Sao Paulo Medical School, São Paulo, Brazil
| | - Josiah L Kephart
- Dornsife School of Public Health, Drexel University, Philadelphia, PA, United States
| | - Sandra Swanson
- Monash Sustainable Development Institute, Monash University, Melbourne, Australia
| | - D Alex Quistberg
- Dornsife School of Public Health, Drexel University, Philadelphia, PA, United States
| | - Mika Moran
- School of Public Health, University of Haifa, Haifa, Israel
| | - Maryia Bakhtsiyarava
- Institute of Transportation Studies, University of California - Berkeley, CA, United States
| | - Carol Zavaleta-Cortijo
- Unidad de ciudadanía intercultural y salud indígena, Facultad de Salud Pública y Administración, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Nelson Gouveia
- Department of Preventive Medicine, University of Sao Paulo Medical School, São Paulo, Brazil
| | - Ana V Diez Roux
- Dornsife School of Public Health, Drexel University, Philadelphia, PA, United States
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Masselot P, Mistry M, Vanoli J, Schneider R, Iungman T, Garcia-Leon D, Ciscar JC, Feyen L, Orru H, Urban A, Breitner S, Huber V, Schneider A, Samoli E, Stafoggia M, de'Donato F, Rao S, Armstrong B, Nieuwenhuijsen M, Vicedo-Cabrera AM, Gasparrini A. Excess mortality attributed to heat and cold: a health impact assessment study in 854 cities in Europe. Lancet Planet Health 2023; 7:e271-e281. [PMID: 36934727 DOI: 10.1016/s2542-5196(23)00023-2] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 01/24/2023] [Accepted: 01/27/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Heat and cold are established environmental risk factors for human health. However, mapping the related health burden is a difficult task due to the complexity of the associations and the differences in vulnerability and demographic distributions. In this study, we did a comprehensive mortality impact assessment due to heat and cold in European urban areas, considering geographical differences and age-specific risks. METHODS We included urban areas across Europe between Jan 1, 2000, and Dec 12, 2019, using the Urban Audit dataset of Eurostat and adults aged 20 years and older living in these areas. Data were extracted from Eurostat, the Multi-country Multi-city Collaborative Research Network, Moderate Resolution Imaging Spectroradiometer, and Copernicus. We applied a three-stage method to estimate risks of temperature continuously across the age and space dimensions, identifying patterns of vulnerability on the basis of city-specific characteristics and demographic structures. These risks were used to derive minimum mortality temperatures and related percentiles and raw and standardised excess mortality rates for heat and cold aggregated at various geographical levels. FINDINGS Across the 854 urban areas in Europe, we estimated an annual excess of 203 620 (empirical 95% CI 180 882-224 613) deaths attributed to cold and 20 173 (17 261-22 934) attributed to heat. These corresponded to age-standardised rates of 129 (empirical 95% CI 114-142) and 13 (11-14) deaths per 100 000 person-years. Results differed across Europe and age groups, with the highest effects in eastern European cities for both cold and heat. INTERPRETATION Maps of mortality risks and excess deaths indicate geographical differences, such as a north-south gradient and increased vulnerability in eastern Europe, as well as local variations due to urban characteristics. The modelling framework and results are crucial for the design of national and local health and climate policies and for projecting the effects of cold and heat under future climatic and socioeconomic scenarios. FUNDING Medical Research Council of UK, the Natural Environment Research Council UK, the EU's Horizon 2020, and the EU's Joint Research Center.
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Affiliation(s)
- Pierre Masselot
- Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK.
| | - Malcolm Mistry
- Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK; Department of Economics, Ca' Foscari University of Venice, Venice, Italy
| | - Jacopo Vanoli
- Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK
| | - Rochelle Schneider
- Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK; Centre on Climate Change and Planetary Health, London School of Hygiene & Tropical Medicine, London, UK; ϕ-Lab, European Space Agency, Frascati, Italy
| | - Tamara Iungman
- Institute for Global Health (ISGlobal), Barcelona, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
| | | | | | - Luc Feyen
- Joint Research Centre, European Commission, Ispra, Italy
| | - Hans Orru
- Department of Family Medicine and Public Health, University of Tartu, Tartu, Estonia
| | - Aleš Urban
- Institute of Atmospheric Physics, Academy of Sciences of the Czech Republic, Prague, Czech Republic; Faculty of Environmental Sciences, Czech University of Life Sciences, Prague, Czech Republic
| | - Susanne Breitner
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; IBE-Chair of Epidemiology, LMU Munich, Munich, Germany
| | - Veronika Huber
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; IBE-Chair of Epidemiology, LMU Munich, Munich, Germany
| | - Alexandra Schneider
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, National and Kapodistrian University of Athens, Athens, Greece
| | - Massimo Stafoggia
- Department of Epidemiology, Lazio Regional Health Service/ASL Roma 1, Rome, Italy
| | - Francesca de'Donato
- Department of Epidemiology, Lazio Regional Health Service/ASL Roma 1, Rome, Italy
| | - Shilpa Rao
- Norwegian Institute of Public Health, Oslo, Norway
| | - Ben Armstrong
- Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK
| | - Mark Nieuwenhuijsen
- Institute for Global Health (ISGlobal), Barcelona, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Ana Maria Vicedo-Cabrera
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland; Oeschger Center for Climate Change Research, University of Bern, Bern, Switzerland
| | - Antonio Gasparrini
- Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK; Centre on Climate Change and Planetary Health, London School of Hygiene & Tropical Medicine, London, UK; Centre for Statistical Methodology, London School of Hygiene & Tropical Medicine, London, UK
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