Rainfall events and daily mortality across 645 global locations: two stage time series analysis

. 2024 Oct 09 ; 387 () : e080944. [epub] 20241009

Jazyk angličtina Země Velká Británie, Anglie Médium electronic

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/pmid39384295

OBJECTIVE: To examine the associations between characteristics of daily rainfall (intensity, duration, and frequency) and all cause, cardiovascular, and respiratory mortality. DESIGN: Two stage time series analysis. SETTING: 645 locations across 34 countries or regions. POPULATION: Daily mortality data, comprising a total of 109 954 744 all cause, 31 164 161 cardiovascular, and 11 817 278 respiratory deaths from 1980 to 2020. MAIN OUTCOME MEASURE: Association between daily mortality and rainfall events with return periods (the expected average time between occurrences of an extreme event of a certain magnitude) of one year, two years, and five years, with a 14 day lag period. A continuous relative intensity index was used to generate intensity-response curves to estimate mortality risks at a global scale. RESULTS: During the study period, a total of 50 913 rainfall events with a one year return period, 8362 events with a two year return period, and 3301 events with a five year return period were identified. A day of extreme rainfall with a five year return period was significantly associated with increased daily all cause, cardiovascular, and respiratory mortality, with cumulative relative risks across 0-14 lag days of 1.08 (95% confidence interval 1.05 to 1.11), 1.05 (1.02 to 1.08), and 1.29 (1.19 to 1.39), respectively. Rainfall events with a two year return period were associated with respiratory mortality only, whereas no significant associations were found for events with a one year return period. Non-linear analysis revealed protective effects (relative risk <1) with moderate-heavy rainfall events, shifting to adverse effects (relative risk >1) with extreme intensities. Additionally, mortality risks from extreme rainfall events appeared to be modified by climate type, baseline variability in rainfall, and vegetation coverage, whereas the moderating effects of population density and income level were not significant. Locations with lower variability of baseline rainfall or scarce vegetation coverage showed higher risks. CONCLUSION: Daily rainfall intensity is associated with varying health effects, with extreme events linked to an increasing relative risk for all cause, cardiovascular, and respiratory mortality. The observed associations varied with local climate and urban infrastructure.

Center for Climate Change Adaptation National Institute for Environmental Studies Tsukuba Japan

Center for Environmental and Respiratory Health Research University of Oulu Oulu Finland

Ciberesp Madrid Spain

Climate Air Quality Research Unit School of Public Health and Preventive Medicine Monash University Melbourne VIC Australia

Climate Research Foundation CIBER of Epidemiology and Public Health Madrid Spain

Department of Earth Sciences University of Turin Turin Italy

Department of Environmental and Occupational Health French National Public Health Agency Saint Maurice France

Department of Environmental Health Faculty of Public Health University of Medicine and Pharmacy at Ho Chi Minh City Ho Chi Minh City Vietnam

Department of Environmental Health Harvard T H Chan School of Public Health Boston MA USA

Department of Environmental Health National Institute of Public Health Cuernavaca Morelos Mexico

Department of Environmental Health School of Public Health Fudan University Shanghai China

Department of Environmental Health Sciences Yale School of Public Health New Haven CT USA

Department of Environmental Health University of Sao Paulo Sao Paulo Brazil

Department of Epidemiology Lazio Regional Health Service ASL ROMA 1 Rome Italy

Department of Family Medicine and Public Health University of Tartu Tartu Estonia

Department of Global Environmental Health Graduate School of Medicine University of Tokyo Tokyo Japan

Department of Global Health Policy Graduate School of Medicine University of Tokyo Tokyo Japan

Department of Pathology Faculty of Medicine University of Sao Paulo Sao Paulo Brazil

Department of Public Health and Clinical Medicine Umea University Umea Sweden

Department of Public Health Environments and Society London School of Hygiene and Tropical Medicine London UK

Department of Statistics and Computational Research University of Valencia Valencia Spain

Department of Statistics Computer Science and Applications G Parenti University of Florence Florence Italy

Division of Infectious Diseases Department of Medicine University of California San Diego CA USA

Environment and Health Modelling Lab Department of Public Health Environments and Society London School of Hygiene and Tropical Medicine London UK

Environmental and Occupational Medicine National Taiwan University College of Medicine and NTU Hospital Taipei Taiwan

Environmental Health Science and Research Bureau Health Canada Ottawa ON Canada

EPIUnit Instituto de Saúde Pública Universidade do Porto Porto Portugal

Faculty of Environmental Sciences Czech University of Life Sciences Prague Czech Republic

Faculty of Geography Babeș Bolyai University Cluj Napoca Romania

Finnish Meteorological Institute Helsinki Finland

Gangarosa Department of Environmental Health Rollins School of Public Health Emory University Atlanta GA USA

Graduate Institute of Environmental and Occupational Health Sciences NTU College of Public Health Taipei Taiwan

Graduate School of Public Health Seoul National University Seoul Republic of Korea

INSPER Sao Paulo Brazil

Institute for Global Health University College London UK

Institute for Medical Information Processing Biometry and Epidemiology Medical Faculty Ludwig Maximilians Universität München Munich Germany

Institute of Atmospheric Physics Czech Academy of Sciences Prague Czech Republic

Institute of Environmental Assessment and Water Research Spanish Council for Scientific Research Barcelona Spain

Institute of Epidemiology Helmholtz Zentrum München German Research Center for Environmental Health Neuherberg Germany

Institute of Research and Development Duy Tan University Da Nang Vietnam

Institute of Social and Preventive Medicine University of Bern Bern Switzerland

Institute of Tropical Medicine Universidad Peruana Cayetano Heredia Lima Peru

Laboratório para a Investigação Integrativa e Translacional em Saúde Pública Porto Portugal

National Agency for Public Health of Ministry of Health Labour and Social Protection of the Republic of Moldova Chisinau Republic of Moldova

National Institute for Public Health and the Environment Centre for Sustainability and Environmental Health Bilthoven Netherlands

National Institute of Environmental Health Chinese Center for Disease Control and Prevention Beijing China

National Institute of Environmental Health Science National Health Research Institutes Zhunan Taiwan

National Institute of Health Dr Ricardo Jorge Portugal

Norwegian institute of Public Health Oslo Norway

Oeschger Center for Climate Change Research University of Bern Bern Switzerland

School of Biomedical Convergence Engineering College of Information and Biomedical Engineering Pusan National University Yangsan Republic of Korea

School of Epidemiology and Public Health Faculty of Medicine University of Ottawa Ottawa ON Canada

School of Health Policy and Management College of Health Sciences Korea University Seoul Republic of Korea

School of Public Health and Preventive Medicine Monash University Melbourne VIC Australia

School of Public Health and Social Work Queensland University of Technology Brisbane QLD Australia

School of the Environment Yale University New Haven CT USA

School of Tropical Medicine and Global Health Nagasaki University Nagasaki Japan

Swiss Tropical and Public Health Institute Allschwil Switzerland

Technological University Dublin Dublin Ireland

University of Basel Basel Switzerland

Yale Center on Climate Change and Health Yale School of Public Health New Haven CT USA

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Arisco NJ, Sewe MO, Bärnighausen T, Sié A, Zabre P, Bunker A. The effect of extreme temperature and precipitation on cause-specific deaths in rural Burkina Faso: a longitudinal study. Lancet Planet Health 2023;7:e478-89. 10.1016/S2542-5196(23)00027-X PubMed DOI

Ingole V, Juvekar S, Muralidharan V, Sambhudas S, Rocklöv J. The short-term association of temperature and rainfall with mortality in Vadu Health and Demographic Surveillance System: a population level time series analysis. Glob Health Action 2012;5:44-52. 10.3402/gha.v5i0.19118 PubMed DOI PMC

Aune KT, Davis MF, Smith GS. Extreme precipitation events and infectious disease risk: a scoping review and framework for infectious respiratory viruses. Int J Environ Res Public Health 2021;19:165. 10.3390/ijerph19010165 PubMed DOI PMC

Kraay ANM, Man O, Levy MC, Levy K, Ionides E, Eisenberg JNS. Understanding the impact of rainfall on diarrhea: testing the concentration-dilution hypothesis using a systematic review and meta-analysis. Environ Health Perspect 2020;128:126001. 10.1289/EHP6181 PubMed DOI PMC

Peirce AM, Espira LM, Larson PS. Climate change related catastrophic rainfall events and non-communicable respiratory disease: a systematic review of the literature. Climate (Basel) 2022;10:101 10.3390/cli10070101. DOI

Tang C, Liu X, He Y, et al. . Association between extreme precipitation and ischemic stroke in Hefei, China: Hospitalization risk and disease burden. Sci Total Environ 2020;732:139272. 10.1016/j.scitotenv.2020.139272 PubMed DOI

Jiang G, Ji Y, Chen C, et al. . Effects of extreme precipitation on hospital visit risk and disease burden of depression in Suzhou, China. BMC Public Health 2022;22:1710. 10.1186/s12889-022-14085-w PubMed DOI PMC

Zheng Z, Zhao C, Lolli S, et al. . Diurnal variation of summer precipitation modulated by air pollution: observational evidences in the beijing metropolitan area. Environ Res Lett 2020;15:094053 10.1088/1748-9326/ab99fc. DOI

Luan T, Guo X, Zhang T, et al. . Below-cloud aerosol scavenging by different-intensity rains in Beijing city. J Meteorol Res 2019;33:126-37 10.1007/s13351-019-8079-0. DOI

Chen Y, Chang Z, Zhao Y, et al. . Association of extreme precipitation with hospitalizations for acute myocardial infarction in Beijing, China: A time-series study. Front Public Health 2022;10:1024816. 10.3389/fpubh.2022.1024816 PubMed DOI PMC

Uttajug A, Ueda K, Seposo X, Francis JM. Association between extreme rainfall and acute respiratory infection among children under-5 years in sub-Saharan Africa: an analysis of Demographic and Health Survey data, 2006-2020. BMJ Open 2023;13:e071874. 10.1136/bmjopen-2023-071874 PubMed DOI PMC

Chan K, Ban J, Ma Y, et al. . Association of exposure to extreme rainfall events with cause-specific mortality in North Carolina, US. Environmental Research Letters 2024;19:044006. 10.1088/1748-9326/ad2dd2 DOI

Lai H, Hales S, Woodward A, et al. . Effects of heavy rainfall on waterborne disease hospitalizations among young children in wet and dry areas of New Zealand. Environ Int 2020;145:106136. 10.1016/j.envint.2020.106136 PubMed DOI

World Meteorological Organization. Guidelines on the Definition and Characterization of Extreme Weather and Climate Events. https://library.wmo.int/records/item/68658-guidelines-for-the-wmo-evaluation-of-records-of-weather-and-climate-extremes

Kwak H-Y, Ko J, Lee S, et al. . Identifying the correlation between rainfall, traffic flow performance and air pollution concentration in Seoul using a path analysis. Transp Res Procedia 2017;25:3552-63 10.1016/j.trpro.2017.05.288. DOI

Hosseinzadehtalaei P, Tabari H, Willems P. Climate change impact on short-duration extreme precipitation and intensity–duration–frequency curves over Europe. J Hydrol (Amst) 2020;590:125249 10.1016/j.jhydrol.2020.125249. DOI

Lefrancq M, Jadas-Hécart A, La Jeunesse I, Landry D, Payraudeau S. High frequency monitoring of pesticides in runoff water to improve understanding of their transport and environmental impacts. Sci Total Environ 2017;587-588:75-86. 10.1016/j.scitotenv.2017.02.022 PubMed DOI

Donat MG, Lowry AL, Alexander LV, et al. . More extreme precipitation in the world’s dry and wet regions. Nat Clim Chang 2016;6:508-13 10.1038/nclimate2941. DOI

Zhang W, Zhou T, Wu P. Anthropogenic amplification of precipitation variability over the past century. Science 2024;385:427-32. 10.1126/science.adp0212 PubMed DOI

Ham Y-G, Kim J-H, Min S-K, et al. . Anthropogenic fingerprints in daily precipitation revealed by deep learning. Nature 2023;622:301-7. 10.1038/s41586-023-06474-x PubMed DOI PMC

Chinita MJ, Richardson M, Teixeira J, et al. . Global mean frequency increases of daily and sub-daily heavy precipitation in ERA5. Environ Res Lett 2021;16:074035 10.1088/1748-9326/ac0caa. DOI

Liu C, Chen R, Sera F, et al. . Interactive effects of ambient fine particulate matter and ozone on daily mortality in 372 cities: two stage time series analysis. BMJ 2023;383:e075203. 10.1136/bmj-2023-075203 PubMed DOI PMC

Meng X, Liu C, Chen R, et al. . Short term associations of ambient nitrogen dioxide with daily total, cardiovascular, and respiratory mortality: multilocation analysis in 398 cities. BMJ 2021;372:n534. 10.1136/bmj.n534 PubMed DOI PMC

Chen G, Guo Y, Yue X, et al. . Mortality risk attributable to wildfire-related PM2·5 pollution: a global time series study in 749 locations. Lancet Planet Health 2021;5:e579-87. 10.1016/S2542-5196(21)00200-X PubMed DOI

Liu C, Chen R, Sera F, et al. . Ambient particulate air pollution and daily mortality in 652 cities. N Engl J Med 2019;381:705-15. 10.1056/NEJMoa1817364 PubMed DOI PMC

Gasparrini A, Guo Y, Hashizume M, et al. . Mortality risk attributable to high and low ambient temperature: a multicountry observational study. Lancet 2015;386:369-75. 10.1016/S0140-6736(14)62114-0 PubMed DOI PMC

Muñoz-Sabater J, Dutra E, Agustí-Panareda A, et al. . ERA5-Land: A state-of-the-art global reanalysis dataset for land applications. Earth Syst Sci Data 2021;13:4349-83 10.5194/essd-13-4349-2021. DOI

Xu J, Ma Z, Yan S, et al. . Do ERA5 and ERA5-land precipitation estimates outperform satellite-based precipitation products? A comprehensive comparison between state-of-the-art model-based and satellite-based precipitation products over mainland China. J Hydrol (Amst) 2022;605:127353 10.1016/j.jhydrol.2021.127353. DOI

Gomis-Cebolla J, Rattayova V, Salazar-Galán S, et al. . Evaluation of ERA5 and ERA5-Land reanalysis precipitation datasets over Spain (1951-2020). Atmos Res 2023;284:106606 10.1016/j.atmosres.2023.106606. DOI

Kotz M, Levermann A, Wenz L. The effect of rainfall changes on economic production. Nature 2022;601:223-7. 10.1038/s41586-021-04283-8 PubMed DOI

Beck HE, Wood EF, Pan M, et al. . MSWEP V2 global 3-hourly 0.1 precipitation: methodology and quantitative assessment. Bull Am Meteorol Soc 2019;100:473-500 10.1175/BAMS-D-17-0138.1. DOI

Huffman GJ, Bolvin DT, Nelkin EJ, et al. Integrated Multi-satellitE Retrievals for GPM (IMERG) technical documentation. https://gpm.nasa.gov/sites/default/files/document_files/IMERG_doc.pdf

Huffman GJ, Bolvin DT, Braithwaite D, et al. . Integrated Multi-satellite Retrievals for the Global Precipitation Measurement (GPM) Mission (IMERG). In: Levizzani V, Kidd C, Kirschbaum DB, Kummerow CD, Nakamura K, Turk FJ. (eds). Satellite Precipitation Measurement. Advances in Global Change Research, vol 67. Springer, 2020.. 10.1007/978-3-030-24568-9_19. DOI

Trenberth KE, Dai A, Rasmussen RM, et al. . The changing character of precipitation. Bull Am Meteorol Soc 2003;84:1205-18 10.1175/BAMS-84-9-1205. DOI

Monjo R, Martin‐Vide J. Daily precipitation concentration around the world according to several indices. Int J Climatol 2016;36:3828-38 10.1002/joc.4596. DOI

Wang H, Xuan Y. Spatial Variation of Extreme Rainfall Observed From Two Century‐Long Datasets. Geophys Res Lett 2021;48:e2020GL091933. https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2020GL091933 DOI

Koutsoyiannis D, Kozonis D, Manetas A. A mathematical framework for studying rainfall intensity-duration-frequency relationships. J Hydrol (Amst) 1998;206:118-35 10.1016/S0022-1694(98)00097-3. DOI

Le Gall P, Favre A-C, Naveau P, et al. . Improved regional frequency analysis of rainfall data. Weather Clim Extrem 2022;36:100456 10.1016/j.wace.2022.100456. DOI

Sivapalan M, Blöschl G. Transformation of point rainfall to areal rainfall: Intensity-duration-frequency curves. J Hydrol (Amst) 1998;204:150-67 10.1016/S0022-1694(97)00117-0. DOI

Lüthi S, Fairless C, Fischer EM, et al. . Rapid increase in the risk of heat-related mortality. Nat Commun 2023;14:4894. PubMed PMC

Rogger M, Kohl B, Pirkl H, et al. . Runoff models and flood frequency statistics for design flood estimation in Austria–Do they tell a consistent story? J Hydrol (Amst) 2012;456-457:30-43 10.1016/j.jhydrol.2012.05.068. DOI

Merz B, Aerts J, Arnbjerg-Nielsen K, et al. . Floods and climate: emerging perspectives for flood risk assessment and management. Nat Hazards Earth Syst Sci 2014;14:1921-42 10.5194/nhess-14-1921-2014. DOI

He C, Kim H, Hashizume M, et al. . The overlooked health impacts of extreme rainfall exposure in 30 East Asian cities. Nat Sustain 2024;7:423-31 10.1038/s41893-024-01294-x. DOI

Vicedo-Cabrera AM, Scovronick N, Sera F, et al. . The burden of heat-related mortality attributable to recent human-induced climate change. Nat Clim Chang 2021;11:492-500. 10.1038/s41558-021-01058-x PubMed DOI PMC

Yang Z, Huang W, McKenzie JE, et al. MCC Collaborative Research Network . Mortality risks associated with floods in 761 communities worldwide: time series study. BMJ 2023;383:e075081. PubMed PMC

Huang W, Li S, Vogt T, et al. . 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:e694-705. 10.1016/S2542-5196(23)00143-2 PubMed DOI

Guo Y, Gasparrini A, Armstrong BG, et al. . Heat wave and mortality: a multicountry, multicommunity study. Environ Health Perspect 2017;125:087006. 10.1289/EHP1026 PubMed DOI PMC

Sera F, Gasparrini A. Extended two-stage designs for environmental research. Environ Health 2022;21:1-13. PubMed PMC

Köppen W. Das Geographische System der Klimate [The Geographical System of Climates]. In: Handbuch der Klimatologie, vol 1(part C). Gebrüder Borntraeger, 1936.

Gasparrini A, Armstrong B, Kenward MG. Multivariate meta-analysis for non-linear and other multi-parameter associations. Stat Med 2012;31:3821-39. 10.1002/sim.5471 PubMed DOI PMC

World Meteorological Organization. Precipitation. Retrieved 17 Aug 2024 from https://community.wmo.int/en/activity-areas/aviation/hazards/precipitation.

Alam N, Lindeboom W, Begum D, Streatfield PK. The association of weather and mortality in Bangladesh from 1983-2009. Glob Health Action 2012;5:53-60. 10.3402/gha.v5i0.19121 PubMed DOI PMC

Lindeboom W, Alam N, Begum D, Streatfield PK. The association of meteorological factors and mortality in rural Bangladesh, 1983-2009. Glob Health Action 2012;5:61-73. 10.3402/gha.v5i0.19063 PubMed DOI PMC

Diboulo E, Sié A, Rocklöv J, et al. . Weather and mortality: a 10 year retrospective analysis of the Nouna Health and Demographic Surveillance System, Burkina Faso. Glob Health Action 2012;5:6-13. 10.3402/gha.v5i0.19078 PubMed DOI PMC

Grundstein A, Sarnat SE, Klein M, et al. . Thunderstorm associated asthma in Atlanta, Georgia. Thorax 2008;63:659-60. 10.1136/thx.2007.092882 PubMed DOI PMC

Park J-H, Lee E, Fechter-Leggett ED, et al. . Associations of Emergency Department Visits for Asthma with Precipitation and Temperature on Thunderstorm Days: A Time-Series Analysis of Data from Louisiana, USA, 2010-2012. Environ Health Perspect 2022;130:87003. 10.1289/EHP10440 PubMed DOI PMC

Carlton EJ, Eisenberg JN, Goldstick J, Cevallos W, Trostle J, Levy K. Heavy rainfall events and diarrhea incidence: the role of social and environmental factors. Am J Epidemiol 2014;179:344-52. 10.1093/aje/kwt279 PubMed DOI PMC

Sun Y, Zhao C, Su Y, et al. . Distinct impacts of light and heavy precipitation on PM2. 5 mass concentration in Beijing. Earth Space Sci 2019;6:1915-25 10.1029/2019EA000717. DOI

Horanont T, Phithakkitnukoon S, Leong TW, Sekimoto Y, Shibasaki R. Weather effects on the patterns of people’s everyday activities: a study using GPS traces of mobile phone users. PLoS One 2013;8:e81153. 10.1371/journal.pone.0081153 PubMed DOI PMC

Parks RM, Anderson GB, Nethery RC, Navas-Acien A, Dominici F, Kioumourtzoglou MA. Tropical cyclone exposure is associated with increased hospitalization rates in older adults. Nat Commun 2021;12:1545. 10.1038/s41467-021-21777-1 PubMed DOI PMC

Nabi G, Ali M, Khan S, Kumar S. The crisis of water shortage and pollution in Pakistan: risk to public health, biodiversity, and ecosystem. Environ Sci Pollut Res Int 2019;26:10443-5. 10.1007/s11356-019-04483-w PubMed DOI

Kirby M, Nagel C, Uejio C, et al. . Effect of precipitation on clinic-diagnosed enteric infections in children in Rwanda: An observational study. Lancet Planet Health 2018;2:S14 10.1016/S2542-5196(18)30099-8. DOI

Galan DI, Roess AA, Pereira SVC, Schneider MC. Epidemiology of human leptospirosis in urban and rural areas of Brazil, 2000-2015. PLoS One 2021;16:e0247763. 10.1371/journal.pone.0247763 PubMed DOI PMC

Jang GI, Hwang CY, Cho BC. Effects of heavy rainfall on the composition of airborne bacterial communities. Front Environ Sci Eng 2018;12:12 10.1007/s11783-018-1008-0. DOI

Choi Y-J, Lee KS, Oh J-W. The impact of climate change on pollen season and allergic sensitization to pollens. Immunol Allergy Clin North Am 2021;41:97-109. 10.1016/j.iac.2020.09.004 PubMed DOI

Vencloviene J, Braziene A, Dobozinskas P. Short-term changes in weather and space weather conditions and emergency ambulance calls for elevated arterial blood pressure. Atmosphere 2018;9:114 10.3390/atmos9030114. DOI

Vencloviene J, Beresnevaite M, Cerkauskaite S, et al. . The effects of weather on depressive symptoms in patients after cardiac surgery. Psychol Health Med 2023;28:682-92. PubMed

Guo Y, Gasparrini A, Armstrong BG, et al. . Temperature variability and mortality: a multi-country study. Environ Health Perspect 2016;124:1554-9. 10.1289/EHP149 PubMed DOI PMC

Lee S, Salvador C, Tuel A, Vicedo-Cabrera AM. Exploring the association between precipitation and hospital admission for mental disorders in Switzerland between 2009 and 2019. PLoS One 2023;18:e0283200. 10.1371/journal.pone.0283200 PubMed DOI PMC

Wilby RL. Resilience viewed through the lens of climate change and water management. Water 2020;12:2510 10.3390/w12092510. DOI

Food and Agriculture Organization of the United Nations. 2012. Proceedings of the OECD-FAO Agricultural Outlook. https://www.fao.org/fileadmin/templates/agphome/documents/faooecd/oecd_proceedings.pdf.

Ceccato P, Vancutsem C, Klaver R, Rowland J, Connor SJ. A vectorial capacity product to monitor changing malaria transmission potential in epidemic regions of Africa. J Trop Med 2012;2012:595948. PubMed PMC

Dieleman H. Organizational learning for resilient cities, through realizing eco-cultural innovations. J Clean Prod 2013;50:171-80 10.1016/j.jclepro.2012.11.027. DOI

Callahan CW, Mankin JS. Globally unequal effect of extreme heat on economic growth. Sci Adv 2022;8:eadd3726. 10.1126/sciadv.add3726 PubMed DOI PMC

Fatti CE, Patel Z. Perceptions and responses to urban flood risk: Implications for climate governance in the South. Appl Geogr 2013;36:13-22 10.1016/j.apgeog.2012.06.011. DOI

Tabari H. Climate change impact on flood and extreme precipitation increases with water availability. Sci Rep 2020;10:13768. 10.1038/s41598-020-70816-2 PubMed DOI PMC

Greenberg M, Schneider D. Population density: What does it really mean in geographical health studies? Health Place 2023;81:103001. 10.1016/j.healthplace.2023.103001 PubMed DOI

Parks RM, Benavides J, Anderson GB, et al. . Association of tropical cyclones with county-level mortality in the US. JAMA 2022;327:946-55. 10.1001/jama.2022.1682 PubMed DOI PMC

Haakenstad A, Yearwood JA, Fullman N, et al. GBD 2019 Healthcare Access and Quality Collaborators . Assessing performance of the Healthcare Access and Quality Index, overall and by select age groups, for 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019. Lancet Glob Health 2022;10:e1715-43. 10.1016/S2214-109X(22)00429-6 PubMed DOI PMC

He C, Kim H, Hashizume M, et al. . The effects of night-time warming on mortality burden under future climate change scenarios: a modelling study. Lancet Planet Health 2022;6:e648-57. 10.1016/S2542-5196(22)00139-5 PubMed DOI

Levy MC, Collender PA, Carlton EJ, et al. . Spatiotemporal error in rainfall data: consequences for epidemiologic analysis of waterborne diseases. Am J Epidemiol 2019;188:950-9. 10.1093/aje/kwz010 PubMed DOI PMC

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