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Matte T, Lane K, Tipaldo JF, Barnes J, Knowlton K, Torem E, Anand G, Yoon L, Marcotullio P, Balk D, Constible J, Elszasz H, Ito K, Jessel S, Limaye V, Parks R, Rutigliano M, Sorenson C, Yuan A. NPCC4: Climate change and New York City's health risk. Ann N Y Acad Sci 2024; 1539:185-240. [PMID: 38922909 DOI: 10.1111/nyas.15115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 01/31/2024] [Accepted: 02/06/2024] [Indexed: 06/28/2024]
Abstract
This chapter of the New York City Panel on Climate Change 4 (NPCC4) report considers climate health risks, vulnerabilities, and resilience strategies in New York City's unique urban context. It updates evidence since the last health assessment in 2015 as part of NPCC2 and addresses climate health risks and vulnerabilities that have emerged as especially salient to NYC since 2015. Climate health risks from heat and flooding are emphasized. In addition, other climate-sensitive exposures harmful to human health are considered, including outdoor and indoor air pollution, including aeroallergens; insect vectors of human illness; waterborne infectious and chemical contaminants; and compounding of climate health risks with other public health emergencies, such as the COVID-19 pandemic. Evidence-informed strategies for reducing future climate risks to health are considered.
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Affiliation(s)
- Thomas Matte
- Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Kathryn Lane
- New York City Department of Health and Mental Hygiene, New York, New York, USA
| | - Jenna F Tipaldo
- CUNY Graduate School of Public Health and Health Policy and CUNY Institute for Demographic Research, New York, New York, USA
| | - Janice Barnes
- Climate Adaptation Partners, New York, New York, USA
| | - Kim Knowlton
- Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Emily Torem
- New York City Department of Health and Mental Hygiene, New York, New York, USA
| | - Gowri Anand
- City of New York, Department of Transportation, New York, New York, USA
| | - Liv Yoon
- School of Kinesiology, The University of British Columbia, Vancouver, Canada
| | - Peter Marcotullio
- Department of Geography and Environmental Science, Hunter College, CUNY, New York, New York, USA
| | - Deborah Balk
- Marxe School of Public and International Affairs, Baruch College and also CUNY Institute for Demographic Research, New York, New York, USA
| | | | - Hayley Elszasz
- City of New York, Mayors Office of Climate and Environmental Justice, New York, New York, USA
| | - Kazuhiko Ito
- New York City Department of Health and Mental Hygiene, New York, New York, USA
| | - Sonal Jessel
- WE ACT for Environmental Justice, New York, New York, USA
| | - Vijay Limaye
- Natural Resources Defense Council, New York, New York, USA
| | - Robbie Parks
- Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Mallory Rutigliano
- New York City Mayor's Office of Management and Budget, New York, New York, USA
| | - Cecilia Sorenson
- Mailman School of Public Health, Columbia University, New York, New York, USA
- Global Consortium on Climate and Health Education, Columbia University, New York, New York, USA
- Department of Emergency Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Ariel Yuan
- New York City Department of Health and Mental Hygiene, New York, New York, USA
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2
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Huang W, Vogt T, Park J, Yang Z, Ritchie EA, Xu R, Zhang Y, Hales S, Yu W, Hundessa S, Otto C, Yu P, Liu Y, Ju K, Lavigne E, Ye T, Wen B, Wu Y, Kliengchuay W, Tantrakarnapa K, Guo YL, Kim H, Phung D, Li S, Guo Y. Risks of infectious disease hospitalisations in the aftermath of tropical cyclones: a multi-country time-series study. Lancet Planet Health 2024; 8:e629-e639. [PMID: 39243779 DOI: 10.1016/s2542-5196(24)00158-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 06/20/2024] [Accepted: 06/24/2024] [Indexed: 09/09/2024]
Abstract
BACKGROUND The proportion of intense tropical cyclones is expected to increase in a changing climate. However, there is currently no consistent and comprehensive assessment of infectious disease risk following tropical cyclone exposure across countries and over decades. We aimed to explore the tropical cyclone-associated hospitalisation risks and burden for cause-specific infectious diseases on a multi-country scale. METHODS Hospitalisation records for infectious diseases were collected from six countries and territories (Canada, South Korea, New Zealand, Taiwan, Thailand, and Viet Nam) during various periods between 2000 and 2019. The days with tropical cyclone-associated maximum sustained windspeeds of 34 knots or higher derived from a parametric wind field model were considered as tropical cyclone exposure days. The association of monthly infectious diseases hospitalisations and tropical cyclone exposure days was first examined at location level using a distributed lag non-linear quasi-Poisson regression model, and then pooled using a random-effects meta-analysis. The tropical cyclone-attributable number and fraction of infectious disease hospitalisations were also calculated. FINDINGS Overall, 2·2 million people who were hospitalised for infectious diseases in 179 locations that had at least one tropical cyclone exposure day in the six countries and territories were included in the analysis. The elevated hospitalisation risks for infectious diseases associated with tropical cyclones tended to dissipate 2 months after the tropical cyclone exposure. Overall, each additional tropical cyclone day was associated with a 9% (cumulative relative risk 1·09 [95% CI 1·05-1·14]) increase in hospitalisations for all-cause infectious diseases, 13% (1·13 [1·05-1·21]) for intestinal infectious diseases, 14% (1·14 [1·05-1·23]) for sepsis, and 22% (1·22 [1·03-1·46]) for dengue during the 2 months after a tropical cyclone. Associations of tropical cyclones with hospitalisations for tuberculosis and malaria were not significant. In total, 0·72% (95% CI 0·40-1·01) of the hospitalisations for all-cause infectious diseases, 0·33% (0·15-0·49) for intestinal infectious diseases, 1·31% (0·57-1·95) for sepsis, and 0·63% (0·10-1·04) for dengue were attributable to tropical cyclone exposures. The attributable burdens were higher among young populations (aged ≤19 years) and male individuals compared with their counterparts, especially for intestinal infectious diseases. The heterogeneous spatiotemporal pattern was further revealed at the country and territory level-tropical cyclone-attributable fractions showed a decreasing trend in South Korea during the study period but an increasing trend in Viet Nam, Taiwan, and New Zealand. INTERPRETATION Tropical cyclones were associated with persistent elevated hospitalisation risks of infectious diseases (particularly sepsis and intestinal infectious diseases). Targeted interventions should be formulated for different populations, regions, and causes of infectious diseases based on evidence on tropical cyclone epidemiology to respond to the increasing risk and burden. FUNDING Australian Research Council, Australian National Health, and Medical Research Council.
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Affiliation(s)
- Wenzhong Huang
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Thomas Vogt
- Potsdam Institute for Climate Impact Research, Potsdam, Germany
| | - Jinah Park
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, South Korea
| | - Zhengyu Yang
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Elizabeth A Ritchie
- School of Earth Atmosphere and Environment, Monash University, Melbourne, VIC, Australia; Department of Civil Engineering, Monash University, Melbourne, VIC, Australia
| | - Rongbin Xu
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Yiwen Zhang
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Simon Hales
- Department of Public Health, University of Otago, Wellington, New Zealand
| | - Wenhua Yu
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Samuel Hundessa
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Christian Otto
- Potsdam Institute for Climate Impact Research, Potsdam, Germany
| | - Pei Yu
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Yanming Liu
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Ke Ju
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Eric Lavigne
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, Canada; School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada
| | - Tingting Ye
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Bo Wen
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Yao Wu
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Wissanupong Kliengchuay
- Social and Environmental Medicine, Faculty of Tropical Medicine, Mahidol University, Krung Thep Maha Nakhon, Thailand
| | - Kraichat Tantrakarnapa
- Social and Environmental Medicine, Faculty of Tropical Medicine, Mahidol University, Krung Thep Maha Nakhon, Thailand
| | - Yue Leon Guo
- Department of Environmental and Occupational Medicine, National Taiwan University and National Taiwan University Hospital, Taipei, Taiwan; National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli, Taiwan; Institute of Environmental and Occupational Health Sciences, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Ho Kim
- Graduate School of Public Health, Seoul National University, Seoul, South Korea
| | - Dung Phung
- School of Public Health, University of Queensland, Brisbane, QLD, Australia
| | - Shanshan Li
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
| | - Yuming Guo
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
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3
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Berman JD, Abadi AM, Bell JE. Existing Challenges and Opportunities for Advancing Drought and Health Research. Curr Environ Health Rep 2024; 11:255-265. [PMID: 38568401 DOI: 10.1007/s40572-024-00440-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/08/2024] [Indexed: 05/12/2024]
Abstract
PURPOSE OF REVIEW Drought is one of the most far-reaching natural disasters, yet drought and health research is sparse. This may be attributed to the challenge of quantifying drought exposure, something complicated by multiple drought indices without any designed for health research. The purpose of this general review is to evaluate current drought and health literature and highlight challenges or scientific considerations when performing drought exposure and health assessments. RECENT FINDINGS The literature revealed a small, but growing, number of drought and health studies primarily emphasizing Australian, western European, and US populations. The selection of drought indices and definitions of drought are inconsistent. Rural and agricultural populations have been identified as vulnerable cohorts, particularly for mental health outcomes. Using relevant examples, we discuss the importance of characterizing drought and explore why health outcomes, populations of interest, and compound environmental hazards are crucial considerations for drought and health assessments. As climate and health research is prioritized, we propose guidance for investigators performing drought-focused analyses.
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Affiliation(s)
- Jesse D Berman
- Division of Environmental Health Sciences, School of Public Health, University of Minnesota, Mayo Mail Code #807, 420 Delaware Street SE, Minneapolis, MN, 55455, USA.
| | - Azar M Abadi
- Department of Environmental Health Sciences, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, 35233, USA
| | - Jesse E Bell
- Department of Environmental, Agricultural, and Occupational Health, Medical Center College of Public Health, University of Nebraska, Omaha, NE, USA
- School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, USA
- Daugherty Water for Food Global Institute, University of Nebraska, Lincoln, NE, USA
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4
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Salas RN, Burke LG, Phelan J, Wellenius GA, Orav EJ, Jha AK. Impact of extreme weather events on healthcare utilization and mortality in the United States. Nat Med 2024; 30:1118-1126. [PMID: 38424213 DOI: 10.1038/s41591-024-02833-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 01/25/2024] [Indexed: 03/02/2024]
Abstract
Climate change is intensifying extreme weather events. Yet a systematic analysis of post-disaster healthcare utilization and outcomes for severe weather and climate disasters, as tracked by the US government, is lacking. Following exposure to 42 US billion-dollar weather disasters (severe storm, flood, flood/severe storm, tropical cyclone and winter storm) between 2011 and 2016, we used a difference-in-differences (DID) approach to quantify changes in the rates of emergency department (ED) visits, nonelective hospitalizations and mortality between fee-for-service Medicare beneficiaries in affected compared to matched control counties in post-disaster weeks 1, 1-2 and 3-6. Overall, disasters were associated with higher rates of ED utilization in affected counties in post-disaster week 1 (DID of 1.22% (95% CI, 0.20% to 2.25%; P < 0.020)) through week 2. Nonelective hospitalizations were unchanged. Mortality was higher in affected counties in week 1 (DID of 1.40% (95% CI, 0.08% to 2.74%; P = 0.037)) and persisted for 6 weeks. Counties with the greatest loss and damage experienced greater increases in ED and mortality rates compared to all affected counties. Thus, billion-dollar weather disasters are associated with excess ED visits and mortality in Medicare beneficiaries. Tracking these outcomes is important for adaptation that protects patients and communities, health system resilience and policy.
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Affiliation(s)
- Renee N Salas
- Massachusetts General Hospital, Department of Emergency Medicine, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Harvard Global Health Institute, Cambridge, MA, USA.
- Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Laura G Burke
- Harvard Medical School, Boston, MA, USA
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Beth Israel Deaconess Medical Center, Department of Emergency Medicine, Boston, MA, USA
| | - Jessica Phelan
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Gregory A Wellenius
- Boston University School of Public Health, Center for Climate and Health, Boston, MA, USA
| | - E John Orav
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Ashish K Jha
- Brown University School of Public Health, Providence, RI, USA
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5
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Huang W, Yang Z, Zhang Y, Vogt T, Armstrong B, Yu W, Xu R, Yu P, Liu Y, Gasparrini A, Hundessa S, Lavigne E, Molina T, Geiger T, Guo YL, Otto C, Hales S, Pourzand F, Pan SC, Ju K, Ritchie EA, Li S, Guo Y. Tropical cyclone-specific mortality risks and the periods of concern: A multicountry time-series study. PLoS Med 2024; 21:e1004341. [PMID: 38252630 PMCID: PMC10843109 DOI: 10.1371/journal.pmed.1004341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 02/05/2024] [Accepted: 01/03/2024] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND More intense tropical cyclones (TCs) are expected in the future under a warming climate scenario, but little is known about their mortality effect pattern across countries and over decades. We aim to evaluate the TC-specific mortality risks, periods of concern (POC) and characterize the spatiotemporal pattern and exposure-response (ER) relationships on a multicountry scale. METHODS AND FINDINGS Daily all-cause, cardiovascular, and respiratory mortality among the general population were collected from 494 locations in 18 countries or territories during 1980 to 2019. Daily TC exposures were defined when the maximum sustained windspeed associated with a TC was ≥34 knots using a parametric wind field model at a 0.5° × 0.5° resolution. We first estimated the TC-specific mortality risks and POC using an advanced flexible statistical framework of mixed Poisson model, accounting for the population changes, natural variation, seasonal and day of the week effects. Then, a mixed meta-regression model was used to pool the TC-specific mortality risks to estimate the overall and country-specific ER relationships of TC characteristics (windspeed, rainfall, and year) with mortality. Overall, 47.7 million all-cause, 15.5 million cardiovascular, and 4.9 million respiratory deaths and 382 TCs were included in our analyses. An overall average POC of around 20 days was observed for TC-related all-cause and cardiopulmonary mortality, with relatively longer POC for the United States of America, Brazil, and Taiwan (>30 days). The TC-specific relative risks (RR) varied substantially, ranging from 1.04 to 1.42, 1.07 to 1.77, and 1.12 to 1.92 among the top 100 TCs with highest RRs for all-cause, cardiovascular, and respiratory mortality, respectively. At country level, relatively higher TC-related mortality risks were observed in Guatemala, Brazil, and New Zealand for all-cause, cardiovascular, and respiratory mortality, respectively. We found an overall monotonically increasing and approximately linear ER curve of TC-related maximum sustained windspeed and cumulative rainfall with mortality, with heterogeneous patterns across countries and regions. The TC-related mortality risks were generally decreasing from 1980 to 2019, especially for the Philippines, Taiwan, and the USA, whereas potentially increasing trends in TC-related all-cause and cardiovascular mortality risks were observed for Japan. CONCLUSIONS The TC mortality risks and POC varied greatly across TC events, locations, and countries. To minimize the TC-related health burdens, targeted strategies are particularly needed for different countries and regions, integrating epidemiological evidence on region-specific POC and ER curves that consider across-TC variability.
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Affiliation(s)
- Wenzhong Huang
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Zhengyu Yang
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Yiwen Zhang
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Thomas Vogt
- Potsdam Institute for Climate Impact Research, Potsdam, Germany
| | - Ben Armstrong
- Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Wenhua Yu
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Rongbin Xu
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Pei Yu
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Yanming Liu
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Antonio Gasparrini
- Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom
- Centre on Climate Change & Planetary Health, London School of Hygiene & Tropical Medicine, London, United Kingdom
- Centre for Statistical Methodology, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Samuel Hundessa
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Eric Lavigne
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada
| | - Tomas Molina
- Department Applied Physics, Universitat de Barcelona, Barcelona, Spain
| | - Tobias Geiger
- Deutscher Wetterdienst (DWD), Regional Climate Office Potsdam, Potsdam, Germany
| | - Yue Leon Guo
- Department of Environmental and Occupational Medicine, National Taiwan University (NTU) and NTU Hospital, Taipei, Taiwan
- National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli, Taiwan
- Institute of Environmental and Occupational Health Sciences, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Christian Otto
- Potsdam Institute for Climate Impact Research, Potsdam, Germany
| | - Simon Hales
- Department of Public Health, University of Otago, Wellington, New Zealand
| | - Farnaz Pourzand
- Department of Public Health, University of Otago, Wellington, New Zealand
| | - Shih-Chun Pan
- National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli, Taiwan
| | - Ke Ju
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Elizabeth A. Ritchie
- School of Earth Atmosphere and Environment, Monash University, Melbourne, Australia
- Department of Civil Engineering, Monash University, Melbourne, Australia
| | - Shanshan Li
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Yuming Guo
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
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6
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Romanello M, Napoli CD, Green C, Kennard H, Lampard P, Scamman D, Walawender M, Ali Z, Ameli N, Ayeb-Karlsson S, Beggs PJ, Belesova K, Berrang Ford L, Bowen K, Cai W, Callaghan M, Campbell-Lendrum D, Chambers J, Cross TJ, van Daalen KR, Dalin C, Dasandi N, Dasgupta S, Davies M, Dominguez-Salas P, Dubrow R, Ebi KL, Eckelman M, Ekins P, Freyberg C, Gasparyan O, Gordon-Strachan G, Graham H, Gunther SH, Hamilton I, Hang Y, Hänninen R, Hartinger S, He K, Heidecke J, Hess JJ, Hsu SC, Jamart L, Jankin S, Jay O, Kelman I, Kiesewetter G, Kinney P, Kniveton D, Kouznetsov R, Larosa F, Lee JKW, Lemke B, Liu Y, Liu Z, Lott M, Lotto Batista M, Lowe R, Odhiambo Sewe M, Martinez-Urtaza J, Maslin M, McAllister L, McMichael C, Mi Z, Milner J, Minor K, Minx JC, Mohajeri N, Momen NC, Moradi-Lakeh M, Morrissey K, Munzert S, Murray KA, Neville T, Nilsson M, Obradovich N, O'Hare MB, Oliveira C, Oreszczyn T, Otto M, Owfi F, Pearman O, Pega F, Pershing A, Rabbaniha M, Rickman J, Robinson EJZ, Rocklöv J, Salas RN, Semenza JC, Sherman JD, Shumake-Guillemot J, Silbert G, Sofiev M, Springmann M, Stowell JD, Tabatabaei M, Taylor J, Thompson R, Tonne C, Treskova M, Trinanes JA, Wagner F, Warnecke L, Whitcombe H, Winning M, Wyns A, Yglesias-González M, Zhang S, Zhang Y, Zhu Q, Gong P, Montgomery H, Costello A. The 2023 report of the Lancet Countdown on health and climate change: the imperative for a health-centred response in a world facing irreversible harms. Lancet 2023; 402:2346-2394. [PMID: 37977174 DOI: 10.1016/s0140-6736(23)01859-7] [Citation(s) in RCA: 99] [Impact Index Per Article: 99.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 08/07/2023] [Accepted: 08/31/2023] [Indexed: 11/19/2023]
Affiliation(s)
- Marina Romanello
- Institute for Global Health, University College London, London, UK.
| | - Claudia di Napoli
- School of Agriculture, Policy and Development, University of Reading, Reading, UK
| | - Carole Green
- Department of Global Health, University of Washington, Washington, DC, USA
| | - Harry Kennard
- Center on Global Energy Policy, Columbia University, New York, NY, USA
| | - Pete Lampard
- Department of Health Sciences, University of York, York, UK
| | - Daniel Scamman
- Institute for Sustainable Resources, University College London, London, UK
| | - Maria Walawender
- Institute for Global Health, University College London, London, UK
| | - Zakari Ali
- Medical Research Council Unit The Gambia, London School of Hygiene and Tropical Medicine, London, UK
| | - Nadia Ameli
- Institute for Sustainable Resources, University College London, London, UK
| | - Sonja Ayeb-Karlsson
- Institute for Risk and Disaster Reduction, University College London, London, UK
| | - Paul J Beggs
- School of Natural Sciences, Macquarie University, Sydney, NSW, Australia
| | | | | | - Kathryn Bowen
- School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Wenjia Cai
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Max Callaghan
- Mercator Research Institute on Global Commons and Climate Change, Berlin, Germany
| | - Diarmid Campbell-Lendrum
- Department of Environment, Climate Change and Health, World Health Organisation, Geneva, Switzerland
| | - Jonathan Chambers
- Institute for Environmental Sciences, University of Geneva, Geneva, Switzerland
| | - Troy J Cross
- Heat and Health Research Incubator, University of Sydney, Sydney, NSW, Australia
| | | | - Carole Dalin
- Institute for Sustainable Resources, University College London, London, UK
| | - Niheer Dasandi
- International Development Department, University of Birmingham, Birmingham, UK
| | - Shouro Dasgupta
- Euro-Mediterranean Center on Climate Change Foundation, Lecce, Italy
| | - Michael Davies
- Institute for Risk and Disaster Reduction, University College London, London, UK
| | | | - Robert Dubrow
- School of Public Health, Yale University, New Haven, CT, USA
| | - Kristie L Ebi
- Department of Global Health, University of Washington, Washington, DC, USA
| | - Matthew Eckelman
- Department of Civil & Environmental Engineering, Northeastern University, Boston, MA, USA
| | - Paul Ekins
- Institute for Sustainable Resources, University College London, London, UK
| | - Chris Freyberg
- Department of Information Systems, Massey University, Palmerston North, New Zealand
| | - Olga Gasparyan
- Department of Political Science, Florida State University, Tallahassee, FL, USA
| | | | - Hilary Graham
- Department of Health Sciences, University of York, York, UK
| | - Samuel H Gunther
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Ian Hamilton
- Energy Institute, University College London, London, UK
| | - Yun Hang
- Gangarosa Department of Environmental Health, Emory University, Atlanta, GA
| | | | - Stella Hartinger
- Carlos Vidal Layseca School of Public Health and Management, Cayetano Heredia Pervuvian University, Lima, Peru
| | - Kehan He
- Bartlett School of Sustainable Construction, University College London, London, UK
| | - Julian Heidecke
- Interdisciplinary Center for Scientific Computing, Heidelberg University, Heidelberg, Germany
| | - Jeremy J Hess
- Centre for Health and the Global Environment, University of Washington, Washington, DC, USA
| | - Shih-Che Hsu
- Energy Institute, University College London, London, UK
| | - Louis Jamart
- Institute for Global Health, University College London, London, UK
| | - Slava Jankin
- Centre for AI in Government, University of Birmingham, Birmingham, UK
| | - Ollie Jay
- Heat and Health Research Incubator, University of Sydney, Sydney, NSW, Australia
| | - Ilan Kelman
- Institute for Global Health, University College London, London, UK
| | - Gregor Kiesewetter
- International Institute for Applied Systems Analysis Energy, Climate, and Environment Program, Laxenburg, Austria
| | - Patrick Kinney
- Department of Environmental Health, Boston University, Boston, MA, USA
| | - Dominic Kniveton
- School of Global Studies, University of Sussex, Brighton and Hove, UK
| | | | - Francesca Larosa
- Engineering Mechanics, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Jason K W Lee
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Bruno Lemke
- School of Health, Nelson Marlborough Institute of Technology, Nelson, New Zealand
| | - Yang Liu
- Gangarosa Department of Environmental Health, Emory University, Atlanta, GA
| | - Zhao Liu
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Melissa Lott
- Center on Global Energy Policy, Columbia University, New York, NY, USA
| | | | - Rachel Lowe
- Catalan Institution for Research and Advanced Studies, Barcelona, Spain
| | | | - Jaime Martinez-Urtaza
- Department of Genetics and Microbiology, Autonomous University of Barcelona, Bellaterra, Spain
| | - Mark Maslin
- Department of Geography, University College London, London, UK
| | - Lucy McAllister
- Environmental Studies Program, Denison University, Granville, OH, USA
| | - Celia McMichael
- School of Geography, Earth and Atmospheric Sciences, The University of Melbourne, Melbourne, VIC, Australia
| | - Zhifu Mi
- Bartlett School of Sustainable Construction, University College London, London, UK
| | - James Milner
- Department of Public Health Environments and Society, London School of Hygiene and Tropical Medicine, London, UK
| | - Kelton Minor
- Data Science Institute, Columbia University, New York, NY, USA
| | - Jan C Minx
- Mercator Research Institute on Global Commons and Climate Change, Berlin, Germany
| | - Nahid Mohajeri
- Bartlett School of Sustainable Construction, University College London, London, UK
| | - Natalie C Momen
- Department of Environment, Climate Change and Health, World Health Organisation, Geneva, Switzerland
| | - Maziar Moradi-Lakeh
- Preventive Medicine and Public Health Research Center, Psychosocial Health Research Institute, Department of Community and Family Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Karyn Morrissey
- Department of Technology Management and Economics, Technical University of Denmark, Kongens Lyngby, Denmark
| | | | - Kris A Murray
- Medical Research Council Unit The Gambia, London School of Hygiene and Tropical Medicine, London, UK
| | - Tara Neville
- Department of Environment, Climate Change and Health, World Health Organisation, Geneva, Switzerland
| | - Maria Nilsson
- Department for Epidemiology and Global Health, Umeå University, Umeå, Sweden
| | | | - Megan B O'Hare
- Institute for Global Health, University College London, London, UK
| | - Camile Oliveira
- Institute for Global Health, University College London, London, UK
| | | | - Matthias Otto
- School of Health, Nelson Marlborough Institute of Technology, Nelson, New Zealand
| | - Fereidoon Owfi
- Iranian Fisheries Science Research Institute, Tehran, Iran
| | - Olivia Pearman
- Center for Science and Technology Policy, University of Colorado Boulder, Boulder, CO, USA
| | - Frank Pega
- Department of Environment, Climate Change and Health, World Health Organisation, Geneva, Switzerland
| | | | | | - Jamie Rickman
- Institute for Sustainable Resources, University College London, London, UK
| | - Elizabeth J Z Robinson
- Grantham Research Institute on Climate Change and the Environment, London School of Economics and Political Science, London, UK
| | - Joacim Rocklöv
- Interdisciplinary Center for Scientific Computing, Heidelberg University, Heidelberg, Germany
| | - Renee N Salas
- Harvard Medical School, Harvard University, Boston, MA, USA
| | - Jan C Semenza
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Jodi D Sherman
- Department of Anesthesiology, Yale University, New Haven, CT, USA
| | | | - Grant Silbert
- Melbourne Medical School, The University of Melbourne, Melbourne, VIC, Australia
| | | | - Marco Springmann
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | | | - Meisam Tabatabaei
- Institute of Tropical Aquaculture and Fisheries, Universiti Malaysia Terengganu, Terengganu, Malaysia
| | - Jonathon Taylor
- Department of Civil Engineering, Tampere University, Tampere, Finland
| | | | - Cathryn Tonne
- Barcelona Institute for Global Health, Barcelona, Spain
| | - Marina Treskova
- Interdisciplinary Center for Scientific Computing, Heidelberg University, Heidelberg, Germany
| | - Joaquin A Trinanes
- Department of Electronics and Computer Science, University of Santiago de Compostela, Santiago, Spain
| | - Fabian Wagner
- International Institute for Applied Systems Analysis Energy, Climate, and Environment Program, Laxenburg, Austria
| | - Laura Warnecke
- International Institute for Applied Systems Analysis Energy, Climate, and Environment Program, Laxenburg, Austria
| | - Hannah Whitcombe
- Institute for Global Health, University College London, London, UK
| | - Matthew Winning
- Institute for Sustainable Resources, University College London, London, UK
| | - Arthur Wyns
- Melbourne Climate Futures, The University of Melbourne, Melbourne, VIC, Australia
| | - Marisol Yglesias-González
- Centro Latinoamericano de Excelencia en Cambio Climatico y Salud, Cayetano Heredia Pervuvian University, Lima, Peru
| | - Shihui Zhang
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Ying Zhang
- School of Public Health, University of Sydney, Sydney, NSW, Australia
| | - Qiao Zhu
- Gangarosa Department of Environmental Health, Emory University, Atlanta, GA
| | - Peng Gong
- Department of Geography, University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Hugh Montgomery
- Department of Experimental and Translational Medicine and Division of Medicine, University College London, London, UK
| | - Anthony Costello
- Institute for Global Health, University College London, London, UK
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Rerolle F, Arnold BF, Benmarhnia T. Excess risk in infant mortality among populations living in flood-prone areas in Bangladesh: A cluster-matched cohort study over three decades, 1988 to 2017. Proc Natl Acad Sci U S A 2023; 120:e2218789120. [PMID: 38051769 PMCID: PMC10723139 DOI: 10.1073/pnas.2218789120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 10/24/2023] [Indexed: 12/07/2023] Open
Abstract
The Ganges-Brahmaputra-Meghna river basin, running through Tibet, Nepal, Bhutan, Bangladesh, and northern India, is home to more than 618 million people. Annual monsoons bring extensive flooding to the basin, with floods predicted to be more frequent and extreme due to climate change. Yet, evidence regarding the long-term impacts of floods on children's health is lacking. In this analysis, we used high-resolution maps of recent large floods in Bangladesh to identify flood-prone areas over the country. We then used propensity score techniques to identify, among 58,945 mothers interviewed in six demographic population-based surveys throughout Bangladesh, matched cohorts of exposed and unexposed mothers and leverage data on 150,081 births to estimate that living in flood-prone areas was associated with an excess risk in infant mortality of 5.3 (95% CI 2.2 to 8.4) additional deaths per 1,000 births compared to living in non-flood-prone areas over the 30-y period between 1988 and 2017, with higher risk for children born during rainy (7.9, 95% CI: 3.3 to 12.5) vs. dry months (3.1, 95% CI: -1.1 to 7.2). Finally, drawing on national-scale, high-resolution estimates of flood risk and population distribution, we estimated an excess of 152,753 (64,120 to 241,386) infant deaths were attributable to living in flood-prone areas in Bangladesh over the past 30 y, with marked heterogeneity in attributable burden by subdistrict. Our approach demonstrates the importance of measuring longer-term health impacts from floods and provides a generalizable example for how to study climate-related exposures and long-term health effects.
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Affiliation(s)
- Francois Rerolle
- Francis I. Proctor Foundation, University of California, San Francisco, CA94518
- Climate, Atmospheric Science & Physical Oceanography (CASPO), Scripps Institution of Oceanography, University of California, San Diego, CA92093
| | - Benjamin F. Arnold
- Francis I. Proctor Foundation, University of California, San Francisco, CA94518
- Department of Ophthalmology, University of California, San Francisco, CA94518
| | - Tarik Benmarhnia
- Climate, Atmospheric Science & Physical Oceanography (CASPO), Scripps Institution of Oceanography, University of California, San Diego, CA92093
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Zhang C, Yan M, Du H, Ban J, Chen C, Liu Y, Li T. Mortality risks from a spectrum of causes associated with sand and dust storms in China. Nat Commun 2023; 14:6867. [PMID: 37891159 PMCID: PMC10611721 DOI: 10.1038/s41467-023-42530-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 10/13/2023] [Indexed: 10/29/2023] Open
Abstract
Sand and Dust Storms (SDS) pose considerable health risks worldwide. Previous studies only indicated risk of SDS on overall mortality. This nationwide multicenter time-series study aimed to examine SDS-associated mortality risks extensively. We analyzed 1,495,724 deaths and 2024 SDS events from 1 February to 31 May (2013-2018) in 214 Chinese counties. The excess mortality risks associated with SDS were 7.49% (95% CI: 3.12-12.05%), 5.40% (1.25-9.73%), 4.05% (0.41-7.83%), 3.45% (0.34-6.66%), 3.37% (0.28-6.55%), 3.33% (0.07-6.70%), 8.90% (4.96-12.98%), 12.51% (6.31-19.08%), and 11.55% (5.55-17.89%) for ischemic stroke, intracerebral hemorrhagic stroke, hypertensive heart disease, myocardial infarction, acute myocardial infarction, acute ischemic heart disease, respiratory disease, chronic lower respiratory disease, and chronic obstructive pulmonary disease (COPD), respectively. SDS had significantly added effects on ischemic stroke, chronic lower respiratory disease, and COPD mortality. Our results suggest the need to implement public health policy against SDS.
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Affiliation(s)
- Can Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Meilin Yan
- School of Ecology and Environment, Beijing Technology and Business University, Beijing, China
| | - Hang Du
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jie Ban
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Chen Chen
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yuanyuan Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.
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9
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Yang Z, Huang W, McKenzie JE, Xu R, Yu P, Ye T, Wen B, Gasparrini A, Armstrong B, Tong S, Lavigne E, Madureira J, Kyselý J, Guo Y, Li S. Mortality risks associated with floods in 761 communities worldwide: time series study. BMJ 2023; 383:e075081. [PMID: 37793693 PMCID: PMC10548259 DOI: 10.1136/bmj-2023-075081] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/06/2023] [Indexed: 10/06/2023]
Abstract
OBJECTIVE To evaluate lag-response associations and effect modifications of exposure to floods with risks of all cause, cardiovascular, and respiratory mortality on a global scale. DESIGN Time series study. SETTING 761 communities in 35 countries or territories with at least one flood event during the study period. PARTICIPANTS Multi-Country Multi-City Collaborative Research Network database, Australian Cause of Death Unit Record File, New Zealand Integrated Data Infrastructure, and the International Network for the Demographic Evaluation of Populations and their Health Network database. MAIN OUTCOME MEASURES The main outcome was daily counts of deaths. An estimation for the lag-response association between flood and daily mortality risk was modelled, and the relative risks over the lag period were cumulated to calculate overall effects. Attributable fractions of mortality due to floods were further calculated. A quasi-Poisson model with a distributed lag non-linear function was used to examine how daily death risk was associated with flooded days in each community, and then the community specific associations were pooled using random effects multivariate meta-analyses. Flooded days were defined as days from the start date to the end date of flood events. RESULTS A total of 47.6 million all cause deaths, 11.1 million cardiovascular deaths, and 4.9 million respiratory deaths were analysed. Over the 761 communities, mortality risks increased and persisted for up to 60 days (50 days for cardiovascular mortality) after a flooded day. The cumulative relative risks for all cause, cardiovascular, and respiratory mortality were 1.021 (95% confidence interval 1.006 to 1.036), 1.026 (1.005 to 1.047), and 1.049 (1.008 to 1.092), respectively. The associations varied across countries or territories and regions. The flood-mortality associations appeared to be modified by climate type and were stronger in low income countries and in populations with a low human development index or high proportion of older people. In communities impacted by flood, up to 0.10% of all cause deaths, 0.18% of cardiovascular deaths, and 0.41% of respiratory deaths were attributed to floods. CONCLUSIONS This study found that the risks of all cause, cardiovascular, and respiratory mortality increased for up to 60 days after exposure to flood and the associations could vary by local climate type, socioeconomic status, and older age.
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Affiliation(s)
- Zhengyu Yang
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Wenzhong Huang
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Joanne E McKenzie
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Rongbin Xu
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Pei Yu
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Tingting Ye
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Bo Wen
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Antonio Gasparrini
- Department of Public Health Environments and Society, London School of Hygiene and Tropical Medicine, London, UK
- Centre on Climate Change and Planetary Health, London School of Hygiene and Tropical Medicine, London, UK
- Centre for Statistical Methodology, London School of Hygiene and Tropical Medicine, London, UK
| | - Ben Armstrong
- Department of Public Health Environments and Society, London School of Hygiene and Tropical Medicine, London, UK
| | - Shilu Tong
- School of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD, Australia
- School of Public Health and Institute of Environment and Human Health, Anhui Medical University, Hefei, China
- Shanghai Children's Medical Centre, Shanghai Jiao-Tong University, Shanghai, China
| | - Eric Lavigne
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
- Air Health Science Division, Health Canada, Ottawa, ON, Canada
| | - Joana Madureira
- Department of Geography, University of Santiago de Compostela, Santiago de Compostela, Spain
- EPIUnit - Instituto de Saude Publica, Universidade do Porto, Porto, Portugal
- Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal
| | - Jan Kyselý
- Institute of Atmospheric Physics, Czech Academy of Sciences, Prague, Czech Republic
- Faculty of Environmental Sciences, Czech University of Life Sciences, Prague, Czech Republic
| | - Yuming Guo
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Shanshan Li
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
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10
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Schmidt C. Beyond Wind and Flood: Review of Cyclone Research Spotlights Trauma Outcomes. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:104002. [PMID: 37847526 PMCID: PMC10581332 DOI: 10.1289/ehp13761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 09/08/2023] [Indexed: 10/18/2023]
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Parks RM, Rowland ST, Do V, Boehme AK, Dominici F, Hart CL, Kioumourtzoglou MA. The association between temperature and alcohol- and substance-related disorder hospital visits in New York State. COMMUNICATIONS MEDICINE 2023; 3:118. [PMID: 37752306 PMCID: PMC10522658 DOI: 10.1038/s43856-023-00346-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 08/08/2023] [Indexed: 09/28/2023] Open
Abstract
BACKGROUND Limited evidence exists on how temperature increases are associated with hospital visits from alcohol- and substance-related disorders, despite plausible behavioral and physiological pathways. METHODS In the present study, we implemented a case-crossover design, which controls for seasonal patterns, long-term trends, and non- or slowly-varying confounders, with distributed lag non-linear temperature terms (0-6 days) to estimate associations between daily ZIP Code-level temperature and alcohol- and substance-related disorder hospital visit rates in New York State during 1995-2014. We also examined four substance-related disorder sub-causes (cannabis, cocaine, opioid, sedatives). RESULTS Here we show that, for alcohol-related disorders, a daily increase in temperature from the daily minimum (-30.1 °C (-22.2 °F)) to the 75th percentile (18.8 °C (65.8 °F)) across 0-6 lag days is associated with a cumulative 24.6% (95%CI,14.6%-34.6%) increase in hospital visit rates, largely driven by increases on the day of and day before hospital visit, with an association larger outside New York City. For substance-related disorders, we find evidence of a positive association at temperatures from the daily minimum (-30.1 °C (-22.2 °F)) to the 50th percentile (10.4 °C (50.7 °F)) (37.7% (95%CI,27.2%-48.2%), but not at higher temperatures. Findings are consistent across age group, sex, and social vulnerability. CONCLUSIONS Our work highlights how hospital visits from alcohol- and substance-related disorders are currently impacted by elevated temperatures and could be further affected by rising temperatures resulting from climate change. Enhanced social infrastructure and health system interventions could mitigate these impacts.
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Affiliation(s)
- Robbie M Parks
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.
- The Earth Institute, Columbia University, New York, NY, USA.
| | - Sebastian T Rowland
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Vivian Do
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Amelia K Boehme
- Department of Neurology, Columbia University Medical School, New York, NY, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Francesca Dominici
- Department of Biostatistics, T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Carl L Hart
- Department of Psychology, Columbia University, New York, NY, USA
- Department of Psychiatry, Columbia University, New York, NY, USA
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12
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Parks RM, Kontis V, Anderson GB, Baldwin JW, Danaei G, Toumi R, Dominici F, Ezzati M, Kioumourtzoglou MA. Short-term excess mortality following tropical cyclones in the United States. SCIENCE ADVANCES 2023; 9:eadg6633. [PMID: 37585525 PMCID: PMC10431701 DOI: 10.1126/sciadv.adg6633] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 07/14/2023] [Indexed: 08/18/2023]
Abstract
Knowledge of excess deaths after tropical cyclones is critical to understanding their impacts, directly relevant to policies on preparedness and mitigation. We applied an ensemble of 16 Bayesian models to 40.7 million U.S. deaths and a comprehensive record of 179 tropical cyclones over 32 years (1988-2019) to estimate short-term all-cause excess deaths. The deadliest tropical cyclone was Hurricane Katrina in 2005, with 1491 [95% credible interval (CrI): 563, 3206] excess deaths (>99% posterior probability of excess deaths), including 719 [95% CrI: 685, 752] in Orleans Parish, LA (>99% probability). Where posterior probabilities of excess deaths were >95%, there were 3112 [95% CrI: 2451, 3699] total post-hurricane force excess deaths and 15,590 [95% CrI: 12,084, 18,835] post-gale to violent storm force deaths; 83.1% of post-hurricane force and 70.0% of post-gale to violent storm force excess deaths occurred more recently (2004-2019); and 6.2% were in least socially vulnerable counties.
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Affiliation(s)
- Robbie M. Parks
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Vasilis Kontis
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - G. Brooke Anderson
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Jane W. Baldwin
- Department of Earth System Science, University of California, Irvine, Irvine, CA, USA
- Lamont-Doherty Earth Observatory, Palisades, NY, USA
| | - Goodarz Danaei
- Department of Global Health and Population, T. H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Ralf Toumi
- Space and Atmospheric Physics Imperial College London, London, UK
| | - Francesca Dominici
- Department of Biostatistics, T. H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Majid Ezzati
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Abdul Latif Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK
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13
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Huang W, Gao Y, Xu R, Yang Z, Yu P, Ye T, Ritchie EA, Li S, Guo Y. Health Effects of Cyclones: A Systematic Review and Meta-Analysis of Epidemiological Studies. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:86001. [PMID: 37639476 PMCID: PMC10461789 DOI: 10.1289/ehp12158] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 07/31/2023] [Accepted: 08/03/2023] [Indexed: 08/31/2023]
Abstract
BACKGROUND More intense cyclones are expected in the future as a result of climate change. A comprehensive review is urgently needed to summarize and update the evidence on the health effects of cyclones. OBJECTIVES We aimed to provide a systematic review with meta-analysis of current evidence on the risks of all reported health outcomes related to cyclones and to identify research gaps and make recommendations for further research. METHODS We systematically searched five electronic databases (MEDLINE, Embase, PubMed, Scopus, and Web of Science) for relevant studies in English published before 21 December 2022. Following the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) guidelines, we developed inclusion criteria, screened the literature, and included epidemiological studies with a quantitative risk assessment of any mortality or morbidity-related outcomes associated with cyclone exposures. We extracted key data and assessed study quality for these studies and applied meta-analyses to quantify the overall effect estimate and the heterogeneity of comparable studies. RESULTS In total, 71 studies from eight countries (the United States, China, India, Japan, the Philippines, South Korea, Australia, Brazil), mostly the United States, were included in the review. These studies investigated the all-cause and cause-specific mortality, as well as morbidity related to injury, cardiovascular diseases (CVDs), respiratory diseases, infectious diseases, mental disorders, adverse birth outcomes, cancer, diabetes, and other outcomes (e.g., suicide rates, gender-based violence). Studies mostly included only one high-amplitude cyclone (cyclones with a Saffir-Simpson category of 4 or 5, i.e., Hurricanes Katrina or Sandy) and focused on mental disorders morbidity and all-cause mortality and hospitalizations. Consistently elevated risks of overall mental health morbidity, post-traumatic stress disorder (PTSD), as well as all-cause mortality or hospitalizations, were found to be associated with cyclones. However, the results for other outcomes were generally mixed or limited. A statistically significant overall relative risk of 1.09 [95% confidence interval (CI): 1.04, 1.13], 1.18 (95% CI: 1.12, 1.25), 1.15 (95% CI: 1.13, 1.18), 1.26 (95% CI: 1.05, 1.50) was observed for all-cause mortality, all-cause hospitalizations, respiratory disease, and chronic obstructive pulmonary disease hospitalizations, respectively, after cyclone exposures, whereas no statistically significant risks were identified for diabetes mortality, heart disease mortality, and preterm birth. High between-study heterogeneity was observed. CONCLUSIONS There is generally consistent evidence supporting the notion that high-amplitude cyclones could significantly increase risks of mental disorders, especially for PTSD, as well as mortality and hospitalizations, but the evidence for other health outcomes, such as chronic diseases (e.g., CVDs, cancer, diabetes), and adverse birth outcomes remains limited or inconsistent. More studies with rigorous exposure assessment, of larger spatial and temporal scales, and using advanced modeling strategy are warranted in the future, especially for those small cyclone-prone countries or regions with low and middle incomes. https://doi.org/10.1289/EHP12158.
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Affiliation(s)
- Wenzhong Huang
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Yuan Gao
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Rongbin Xu
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Zhengyu Yang
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Pei Yu
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Tingting Ye
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Elizabeth A. Ritchie
- School of Earth Atmosphere and Environment, Monash University, Melbourne, Victoria, Australia
- Department of Civil Engineering, Monash University, Melbourne, Victoria, Australia
| | - Shanshan Li
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Yuming Guo
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
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14
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Huang W, Li S, Vogt T, Xu R, Tong S, Molina T, Masselot P, Gasparrini A, Armstrong B, Pascal M, Royé D, Sheng Ng CF, Vicedo-Cabrera AM, Schwartz J, Lavigne E, Kan H, Goodman P, Zeka A, Hashizume M, Diaz MH, De la Cruz Valencia C, Seposo X, Nunes B, Madureira J, Kim H, Lee W, Tobias A, Íñiguez C, Guo YL, Pan SC, Zanobetti A, Dang TN, Van Dung D, Geiger T, Otto C, Johnson A, Hales S, Yu P, Yang Z, Ritchie EA, Guo Y. Global short-term mortality risk and burden associated with tropical cyclones from 1980 to 2019: a multi-country time-series study. Lancet Planet Health 2023; 7:e694-e705. [PMID: 37558350 DOI: 10.1016/s2542-5196(23)00143-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 05/25/2023] [Accepted: 06/25/2023] [Indexed: 08/11/2023]
Abstract
BACKGROUND The global spatiotemporal pattern of mortality risk and burden attributable to tropical cyclones is unclear. We aimed to evaluate the global short-term mortality risk and burden associated with tropical cyclones from 1980 to 2019. METHODS The wind speed associated with cyclones from 1980 to 2019 was estimated globally through a parametric wind field model at a grid resolution of 0·5° × 0·5°. A total of 341 locations with daily mortality and temperature data from 14 countries that experienced at least one tropical cyclone day (a day with maximum sustained wind speed associated with cyclones ≥17·5 m/s) during the study period were included. A conditional quasi-Poisson regression with distributed lag non-linear model was applied to assess the tropical cyclone-mortality association. A meta-regression model was fitted to evaluate potential contributing factors and estimate grid cell-specific tropical cyclone effects. FINDINGS Tropical cyclone exposure was associated with an overall 6% (95% CI 4-8) increase in mortality in the first 2 weeks following exposure. Globally, an estimate of 97 430 excess deaths (95% empirical CI [eCI] 71 651-126 438) per decade were observed over the 2 weeks following exposure to tropical cyclones, accounting for 20·7 (95% eCI 15·2-26·9) excess deaths per 100 000 residents (excess death rate) and 3·3 (95% eCI 2·4-4·3) excess deaths per 1000 deaths (excess death ratio) over 1980-2019. The mortality burden exhibited substantial temporal and spatial variation. East Asia and south Asia had the highest number of excess deaths during 1980-2019: 28 744 (95% eCI 16 863-42 188) and 27 267 (21 157-34 058) excess deaths per decade, respectively. In contrast, the regions with the highest excess death ratios and rates were southeast Asia and Latin America and the Caribbean. From 1980-99 to 2000-19, marked increases in tropical cyclone-related excess death numbers were observed globally, especially for Latin America and the Caribbean and south Asia. Grid cell-level and country-level results revealed further heterogeneous spatiotemporal patterns such as the high and increasing tropical cyclone-related mortality burden in Caribbean countries or regions. INTERPRETATION Globally, short-term exposure to tropical cyclones was associated with a significant mortality burden, with highly heterogeneous spatiotemporal patterns. In-depth exploration of tropical cyclone epidemiology for those countries and regions estimated to have the highest and increasing tropical cyclone-related mortality burdens is urgently needed to help inform the development of targeted actions against the increasing adverse health impacts of tropical cyclones under a changing climate. FUNDING Australian Research Council and Australian National Health and Medical Research Council.
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Affiliation(s)
- Wenzhong Huang
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Shanshan Li
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
| | - Thomas Vogt
- Potsdam Institute for Climate Impact Research, Potsdam, Germany
| | - Rongbin Xu
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Shilu Tong
- School of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD, Australia; School of Public Health and Institute of Environment and Human Health, Anhui Medical University, Hefei, China; Shanghai Children's Medical Centre, Shanghai Jiao-Tong University, Shanghai, China
| | - Tomás Molina
- Department of Applied Physics, University of Barcelona, Barcelona, Spain
| | - Pierre Masselot
- Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK; Centre on Climate Change & Planetary Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Antonio Gasparrini
- Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK; Centre on Climate Change & Planetary Health, London School of Hygiene & Tropical Medicine, London, UK; Centre for Statistical Methodology, London School of Hygiene & Tropical Medicine, London, UK
| | - Ben Armstrong
- Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK
| | - Mathilde Pascal
- Santé Publique France, Department of Environmental Health, French National Public Health Agency, Saint Maurice, France
| | - Dominic Royé
- CIBER of Epidemiology and Public Health, Madrid, Spain; Department of Geography, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Chris Fook Sheng Ng
- Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
| | - Ana Maria Vicedo-Cabrera
- Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland; Oeschger Center for Climate Change Research, University of Bern, Bern, Switzerland
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Eric Lavigne
- School of Epidemiology & Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada; Air Health Science Division, Health Canada, Ottawa, ON, Canada
| | - Haidong Kan
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai, China
| | - Patrick Goodman
- School of Physics, Technological University Dublin, Dublin, Ireland
| | - Ariana Zeka
- Institute for Environment, Health and Societies, Brunel University London, London, UK
| | - Masahiro Hashizume
- Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Magali Hurtado Diaz
- Department of Environmental Health, National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | - César De la Cruz Valencia
- Department of Environmental Health, National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | - Xerxes Seposo
- School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
| | - Baltazar Nunes
- Department of Epidemiology, Instituto Nacional de Saúde Dr Ricardo Jorge, Porto, Portugal; Centro de Investigação em Saúde Pública, Escola Nacional de Saúde Pública, Universidade NOVA de Lisboa, Lisbon, Portugal
| | - Joana Madureira
- Environmental Health Department, Instituto Nacional de Saúde Dr Ricardo Jorge, Porto, Portugal; EPIUnit-Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal; Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal
| | - Ho Kim
- Graduate School of Public Health, Seoul National University, Seoul, South Korea
| | - Whanhee Lee
- School of the Environment, Yale University, New Haven, CT, USA; Department of Occupational and Environmental Medicine, School of Medicine, Ewha Womans University, Seoul, South Korea
| | - Aurelio Tobias
- School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan; Institute of Environmental Assessment and Water Research, Spanish Council for Scientific Research, Barcelona, Spain
| | - Carmen Íñiguez
- CIBER of Epidemiology and Public Health, Madrid, Spain; Department of Statistics and Computational Research, Universitat de València, València, Spain
| | - Yue Leon Guo
- Environmental and Occupational Medicine, National Taiwan University (NTU) College of Medicine and NTU Hospital, Taipei, Taiwan; National Institute of Environmental Health Science, National Health Research Institutes, Zhunan, Taiwan; Graduate Institute of Environmental and Occupational Health Sciences, NTU College of Public Health, Taipei, Taiwan
| | - Shih-Chun Pan
- National Institute of Environmental Health Science, National Health Research Institutes, Zhunan, Taiwan
| | - Antonella Zanobetti
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Tran Ngoc Dang
- Institute of Research and Development, Duy Tan University, Da Nang, Viet Nam; Department of Environmental Health, Faculty of Public Health, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Viet Nam
| | - Do Van Dung
- Department of Environmental Health, Faculty of Public Health, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Viet Nam
| | - Tobias Geiger
- Potsdam Institute for Climate Impact Research, Potsdam, Germany; Deutscher Wetterdienst, Climate and Environment Consultancy, Stahnsdorf, Germany
| | - Christian Otto
- Potsdam Institute for Climate Impact Research, Potsdam, Germany
| | - Amanda Johnson
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Simon Hales
- Department of Public Health, University of Otago, Wellington, New Zealand
| | - Pei Yu
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Zhengyu Yang
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Elizabeth A Ritchie
- School of Earth Atmosphere and Environment, Monash University, Melbourne, VIC, Australia; Department of Civil Engineering, Monash University, Melbourne, VIC, Australia
| | - Yuming Guo
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
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15
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Remigio RV, Song H, Raimann JG, Kotanko P, Maddux FW, Lasky RA, He X, Sapkota A. Inclement Weather and Risk of Missing Scheduled Hemodialysis Appointments among Patients with Kidney Failure. Clin J Am Soc Nephrol 2023; 18:904-912. [PMID: 37071662 PMCID: PMC10356145 DOI: 10.2215/cjn.0000000000000174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 04/03/2023] [Indexed: 04/19/2023]
Abstract
BACKGROUND Nonadherence to hemodialysis appointments could potentially result in health complications that can influence morbidity and mortality. We examined the association between different types of inclement weather and hemodialysis appointment adherence. METHODS We analyzed health records of 60,135 patients with kidney failure who received in-center hemodialysis treatment at Fresenius Kidney Care clinics across the Northeastern US counties during 2001-2019. County-level daily meteorological data on rainfall, hurricane and tropical storm events, snowfall, snow depth, and wind speed were extracted using National Oceanic and Atmosphere Agency data sources. A time-stratified case-crossover study design with conditional Poisson regression was used to estimate the effect of inclement weather exposures within the Northeastern US region. We applied a distributed lag nonlinear model framework to evaluate the delayed effect of inclement weather for up to 1 week. RESULTS We observed positive associations between inclement weather and missed appointment (rainfall, hurricane and tropical storm, snowfall, snow depth, and wind advisory) when compared with noninclement weather days. The risk of missed appointments was most pronounced during the day of inclement weather (lag 0) for rainfall (incidence rate ratio [RR], 1.03 per 10-mm rainfall; 95% confidence interval [CI], 1.02 to 1.03) and snowfall (RR, 1.02; 95% CI, 1.01 to 1.02). Over 7 days (lag 0-6), hurricane and tropical storm exposures were associated with a 55% higher risk of missed appointments (RR, 1.55; 95% CI, 1.22 to 1.98). Similarly, 7-day cumulative exposure to sustained wind advisories was associated with 29% higher risk (RR, 1.29; 95% CI, 1.25 to 1.31), while wind gusts advisories showed a 34% higher risk (RR, 1.34; 95% CI, 1.29 to 1.39) of missed appointment. CONCLUSIONS Inclement weather was associated with higher risk of missed hemodialysis appointments within the Northeastern United States. Furthermore, the association between inclement weather and missed hemodialysis appointments persisted for several days, depending on the inclement weather type.
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Affiliation(s)
- Richard V. Remigio
- Maryland Institute for Applied Environmental Health, University of Maryland, School of Public Health, College Park, Maryland
| | - Hyeonjin Song
- Maryland Institute for Applied Environmental Health, University of Maryland, School of Public Health, College Park, Maryland
- Department of Epidemiology and Biostatistics, University of Maryland, School of Public Health, College Park, Maryland
| | | | - Peter Kotanko
- Research Division, Renal Research Institute, New York, New York
- Icahn School of Medicine at Mount Sinai, New York, New York
| | - Frank W. Maddux
- Fresenius Medical Care North America, Waltham, Massachusetts
| | - Rachel A. Lasky
- Fresenius Medical Care North America, Waltham, Massachusetts
| | - Xin He
- Department of Epidemiology and Biostatistics, University of Maryland, School of Public Health, College Park, Maryland
| | - Amir Sapkota
- Department of Epidemiology and Biostatistics, University of Maryland, School of Public Health, College Park, Maryland
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16
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Tran T, Rousseau MA, Farris DP, Bauer C, Nelson KC, Doan HQ. The social vulnerability index as a risk stratification tool for health disparity research in cancer patients: a scoping review. Cancer Causes Control 2023; 34:407-420. [PMID: 37027053 PMCID: PMC10080510 DOI: 10.1007/s10552-023-01683-1] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 03/06/2023] [Indexed: 04/08/2023]
Abstract
PURPOSE The social vulnerability index (SVI), developed by the Centers for Disease Control and Prevention, is a novel composite measure encompassing multiple variables that correspond to key social determinants of health. The objective of this review was to investigate innovative applications of the SVI to oncology research and to employ the framework of the cancer care continuum to elucidate further research opportunities. METHODS A systematic search for relevant articles was performed in five databases from inception to 13 May 2022. Included studies applied the SVI to analyze outcomes in cancer patients. Study characteristics, patent populations, data sources, and outcomes were extracted from each article. This review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. RESULTS In total, 31 studies were included. Along the cancer care continuum, five applied the SVI to examine geographic disparities in potentially cancer-causing exposures; seven in cancer diagnosis; fourteen in cancer treatment; nine in treatment recovery; one in survivorship care; and two in end-of-life care. Fifteen examined disparities in mortality. CONCLUSION In highlighting place-based disparities in patient outcomes, the SVI represents a promising tool for future oncology research. As a reliable geocoded dataset, the SVI may inform the development and implementation of targeted interventions to prevent cancer morbidity and mortality at the neighborhood level.
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Affiliation(s)
- Tiffaney Tran
- Department of Dermatology, Division of Internal Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Morgan A Rousseau
- The University of Texas Health Science Center at Houston John P. and Kathrine G. McGovern Medical School, Houston, TX, USA
| | - David P Farris
- Research Medical Library, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Cici Bauer
- Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
| | - Kelly C Nelson
- Department of Dermatology, Division of Internal Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Hung Q Doan
- Department of Dermatology, Division of Internal Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
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17
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Burrows K, Anderson GB, Yan M, Wilson A, Sabath MB, Son JY, Kim H, Dominici F, Bell ML. Health disparities among older adults following tropical cyclone exposure in Florida. Nat Commun 2023; 14:2221. [PMID: 37076480 PMCID: PMC10115860 DOI: 10.1038/s41467-023-37675-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 03/27/2023] [Indexed: 04/21/2023] Open
Abstract
Tropical cyclones (TCs) pose a significant threat to human health, and research is needed to identify high-risk subpopulations. We investigated whether hospitalization risks from TCs in Florida (FL), United States, varied across individuals and communities. We modeled the associations between all storms in FL from 1999 to 2016 and over 3.5 million Medicare hospitalizations for respiratory (RD) and cardiovascular disease (CVD). We estimated the relative risk (RR), comparing hospitalizations during TC-periods (2 days before to 7 days after) to matched non-TC-periods. We then separately modeled the associations in relation to individual and community characteristics. TCs were associated with elevated risk of RD hospitalizations (RR: 4.37, 95% CI: 3.08, 6.19), but not CVD (RR: 1.04, 95% CI: 0.87, 1.24). There was limited evidence of modification by individual characteristics (age, sex, or Medicaid eligibility); however, risks were elevated in communities with higher poverty or lower homeownership (for CVD hospitalizations) and in denser or more urban communities (for RD hospitalizations). More research is needed to understand the potential mechanisms and causal pathways that might account for the observed differences in the association between tropical cyclones and hospitalizations across communities.
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Affiliation(s)
- K Burrows
- Institute at Brown for Environment and Society, Brown University, Providence, RI, USA.
| | - G B Anderson
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - M Yan
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
- School of Ecology and Environment, Beijing Technology and Business University, Beijing, China
| | - A Wilson
- Department of Statistics, Colorado State University, Fort Collins, CO, USA
| | - M B Sabath
- T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - J Y Son
- School of the Environment, Yale University, New Haven, CT, USA
| | - H Kim
- Division of Environmental and Occupational Health Sciences, School of Public Health, IL, Chicago, USA
| | - F Dominici
- T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - M L Bell
- School of the Environment, Yale University, New Haven, CT, USA
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18
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Bell SA, Miranda ML, Bynum JPW, Davis MA. Mortality After Exposure to a Hurricane Among Older Adults Living With Dementia. JAMA Netw Open 2023; 6:e232043. [PMID: 36881412 PMCID: PMC9993175 DOI: 10.1001/jamanetworkopen.2023.2043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 01/20/2023] [Indexed: 03/08/2023] Open
Abstract
This cohort study examines mortality after hurricane exposure in older adults living with Alzheimer disease and other related dementias.
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Affiliation(s)
- Sue Anne Bell
- Department of Systems, Populations, and Leadership, University of Michigan School of Nursing, Ann Arbor
| | - Marie Lynn Miranda
- Children’s Environmental Health Initiative, University of Notre Dame, Notre Dame, Indiana
| | - Julie P. W. Bynum
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor
| | - Matthew A. Davis
- Department of Systems, Populations, and Leadership, University of Michigan School of Nursing, Ann Arbor
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19
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Liu Y, Yan M, Du H, Sun Q, Anderson GB, Li T. Increased Mortality Risks from a Spectrum of Causes of Tropical Cyclone Exposure — China, 2013–2018. China CDC Wkly 2023; 5:119-124. [PMID: 37008829 PMCID: PMC10061758 DOI: 10.46234/ccdcw2023.022] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 01/11/2023] [Indexed: 02/12/2023] Open
Abstract
What is already known about this topic? Tropical cyclone (TC) has a substantial and adverse impact on non-accidental mortality. However, whether heterogeneity exists when examining deaths from sub-causes and how TC impacts non-accidental mortality in the short term remain unclear. What is added by this report? This study found substantial associations at lag 0 between TC exposure and circulatory and respiratory mortality. TC exposures were associated with increased risks for several mortality sub-causes at lag 0 day, including ischemic heart disease, myocardial infarction, cardiac arrest, cerebrovascular disease, stroke, chronic obstructive pulmonary disease, and Parkinson's disease. What are the implications for public health practice? This finding suggests an urgent need to expand the public health focus of natural disaster management to include non-accidental mortality and sub-causes.
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Affiliation(s)
- Yuanyuan Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Meilin Yan
- School of Ecology and Environment, Beijing Technology and Business University, Beijing, China
| | - Hang Du
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Qinghua Sun
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - G. Brooke Anderson
- Department of Environmental & Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
- Tiantian Li,
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20
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Abadie R, Cano M, Habecker P, Gelpí-Acosta C. Substance use, injection risk behaviors, and fentanyl-related overdose risk among a sample of PWID post-Hurricane Maria. Harm Reduct J 2022; 19:129. [PMID: 36424666 PMCID: PMC9694860 DOI: 10.1186/s12954-022-00715-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 11/15/2022] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND While natural disasters like hurricanes are increasingly common, their long-term effects on people who inject drugs are not well understood. Although brief in duration, natural disasters can radically transform risk environments, increasing substance use and drug-related harms. METHODS Based on a study of people who inject drugs (PWID) and injection risk behaviors in rural Puerto Rico, the present study uses data from two different phases of the parent study. Data for 110 participants were collected from December 2015 to January 2017, soon before Hurricane Maria landed in September 2017; the 2019 phase, in the aftermath of the hurricane, included a total of 103 participants. The present study's main analyses used data from 66 PWID who participated in both the pre-Maria and post-Maria interviews (66 individuals measured at two time points, for a total of 132 observations), using mixed-effects binomial logistic regression to examine recent overdose experiences pre- and post-Maria. A separate descriptive analysis included all 103 participants from the 2019 interview. RESULTS After Hurricane Maria, some declines in injection frequency were observed (the percentage of people reporting injecting monthly or less increased from 3.0% before Hurricane Maria to 22.7% after Hurricane Maria). However, fewer PWID reported using a new needle for most or all injections. In the pre-Maria interview, 10.6% of participants indicated they had experienced an overdose during the year of the interview and/or the calendar year prior, and this figure increased to 24.2% in the post-Maria interview. In the regression analysis, the odds of reporting an overdose during the interview year and/or calendar year prior were three times as high post-Maria, relative to pre-Maria (odds ratio 3.25, 95% confidence interval 1.06-9.97). CONCLUSION Substance use patterns, injection risk behaviors, and overdose episodes and deaths differed after Hurricane Maria, relative to before the hurricane, yet it is unclear to what extent these changes also reflect the simultaneous arrival of fentanyl. In preparation for future natural disasters, it is imperative to strengthen the health infrastructure by enhancing access and curbing barriers to syringe services programs and medications for opioid use disorder, particularly in rural or underserved locations.
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Affiliation(s)
- Roberto Abadie
- grid.24434.350000 0004 1937 0060University of Nebraska-Lincoln, Lincoln, NE 68588 USA
| | - Manuel Cano
- grid.215654.10000 0001 2151 2636Arizona State University, Central Avenue 800, Phoenix, AZ 85004 USA
| | - Patrick Habecker
- grid.24434.350000 0004 1937 0060University of Nebraska-Lincoln, Lincoln, NE 68588 USA
| | - Camila Gelpí-Acosta
- grid.212340.60000000122985718LaGuardia Community College, City University of New York, 31-10 Thomson Avenue, Long Island City, NY 11101 USA
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21
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Ghosh AK, Shapiro MF, Abramson D. Closing the Knowledge Gap in the Long-Term Health Effects of Natural Disasters: A Research Agenda for Improving Environmental Justice in the Age of Climate Change. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15365. [PMID: 36430084 PMCID: PMC9692460 DOI: 10.3390/ijerph192215365] [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: 09/20/2022] [Revised: 11/09/2022] [Accepted: 11/19/2022] [Indexed: 06/16/2023]
Abstract
Natural disasters continue to worsen in both number and intensity globally, but our understanding of their long-term consequences on individual and community health remains limited. As climate-focused researchers, we argue that a publicly funded research agenda that supports the comprehensive exploration of these risks, particularly among vulnerable groups, is urgently needed. This exploration must focus on the following three critical components of the research agenda to promote environmental justice in the age of climate change: (1) a commitment to long term surveillance and care to examine the health impacts of climate change over their life course; (2) an emphasis on interventions using implementation science frameworks; (3) the employment of a transdisciplinary approach to study, address, and intervene on structural disadvantage among vulnerable populations. Without doing so, we risk addressing these consequences in a reactive way at greater expense, limiting the opportunity to safeguard communities and vulnerable populations in the era of climate change.
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Affiliation(s)
- Arnab K. Ghosh
- Department of Medicine, Weill Cornell Medical College, Cornell University, Ithaca, NY 10065, USA
| | - Martin F. Shapiro
- Department of Medicine, Weill Cornell Medical College, Cornell University, Ithaca, NY 10065, USA
| | - David Abramson
- School of Global Public Health, New York University, 715/719 Broadway 12th Floor Room 1214, New York, NY 10003, USA
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22
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Parks RM, Guinto RR. Invited Perspective: Uncovering the Hidden Burden of Tropical Cyclones on Public Health Locally and Worldwide. ENVIRONMENTAL HEALTH PERSPECTIVES 2022; 130:111306. [PMID: 36448793 PMCID: PMC9710374 DOI: 10.1289/ehp12241] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 10/21/2022] [Accepted: 10/24/2022] [Indexed: 06/17/2023]
Affiliation(s)
- Robbie M. Parks
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Renzo R. Guinto
- Planetary and Global Health Program, St. Luke’s Medical Centre College of Medicine–William H. Quasha Memorial, Quezon City, Philippines
- Sunway Centre for Planetary Health, Sunway University, Selangor, Malaysia
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23
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Blum MF, Feng Y, Anderson GB, Segev DL, McAdams-DeMarco M, Grams ME. Hurricanes and Mortality among Patients Receiving Dialysis. J Am Soc Nephrol 2022; 33:1757-1766. [PMID: 35835459 PMCID: PMC9529177 DOI: 10.1681/asn.2021111520] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Accepted: 05/15/2022] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND Hurricanes are severe weather events that can disrupt power, water, and transportation systems. These disruptions may be deadly for patients requiring maintenance dialysis. We hypothesized that the mortality risk among patients requiring maintenance dialysis would be increased in the 30 days after a hurricane. METHODS Patients registered as requiring maintenance dialysis in the United States Renal Data System who initiated treatment between January 1, 1997 and December 31, 2017 in one of 108 hurricane-afflicted counties were followed from dialysis initiation until transplantation, dialysis discontinuation, a move to a nonafflicted county, or death. Hurricane exposure was determined as a tropical cyclone event with peak local wind speeds ≥64 knots in the county of a patient's residence. The risk of death after the hurricane was estimated using time-varying Cox proportional hazards models. RESULTS The median age of the 187,388 patients was 65 years (IQR, 53-75) and 43.7% were female. There were 27 hurricanes and 105,398 deaths in 529,339 person-years of follow-up on dialysis. In total, 29,849 patients were exposed to at least one hurricane. Hurricane exposure was associated with a significantly higher mortality after adjusting for demographic and socioeconomic covariates (hazard ratio, 1.13; 95% confidence interval, 1.05 to 1.22). The association persisted when adjusting for seasonality. CONCLUSIONS Patients requiring maintenance dialysis have a higher mortality risk in the 30 days after a hurricane.
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Affiliation(s)
- Matthew F. Blum
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Yijing Feng
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - G. Brooke Anderson
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado
| | - Dorry L. Segev
- Department of Surgery, New York University Grossman School of Medicine, New York, New York
| | - Mara McAdams-DeMarco
- Department of Surgery, New York University Grossman School of Medicine, New York, New York
| | - Morgan E. Grams
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Department of Medicine, New York University Grossman School of Medicine, New York, New York
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24
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Goldman KN, McCaffrey C, Riley J, Jungheim E, Grifo JA. Disaster preparedness in assisted reproductive technology. Fertil Steril 2022; 118:230-238. [PMID: 35878943 DOI: 10.1016/j.fertnstert.2022.06.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 06/09/2022] [Indexed: 11/18/2022]
Abstract
The American Society for Reproductive Medicine compels centers providing reproductive medicine care to develop and implement an emergency preparedness plan in the event of a disaster. Reproductive care is vulnerable to disruptions in energy, transportation, and supply chains as well as may have potential destructive impacts on infrastructure. With the relentless progression of events related to climate change, centers can expect a growing number of such disruptive events and must prepare to deal with them. This article provides a case study of the impact of Hurricane Sandy on one center in New York City and proposes recommendations for future preparedness and mitigation.
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Affiliation(s)
- Kara N Goldman
- Northwestern Feinberg School of Medicine, Chicago, Illinois.
| | | | - Joan Riley
- Northwestern Feinberg School of Medicine, Chicago, Illinois
| | - Emily Jungheim
- Northwestern Feinberg School of Medicine, Chicago, Illinois
| | - Jamie A Grifo
- New York University Langone Health, New York, New York
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