Baseline scenarios of heat-related ambulance transportations under climate change in Tokyo, Japan
Tóm tắt
Từ khóa
Tài liệu tham khảo
Abrahamson, 2009, Perceptions of heatwave risks to health: interview-based study of older people in London and Norwich, UK, Journal of Public Health, 31, 119, 10.1093/pubmed/fdn102
Asayama, 2009, Guideline for the prevention of heat disorder in Japan, Global Environmental Research, 13, 19
Barnett, 2010, What measure of temperature is the best predictor of mortality?, Environmental Research, 110, 604, 10.1016/j.envres.2010.05.006
Brimicombe, 2021, Heatwaves: an invisible risk in UK policy and research, Environmental Science & Policy, 116, 1, 10.1016/j.envsci.2020.10.021
Budd, 2008, Wet-bulb globe temperature (WBGT)—its history and its limitations, Journal of Science and Medicine in Sport, 11, 20, 10.1016/j.jsams.2007.07.003
Debele, 2019, Nature-based solutions for hydro-meteorological hazards: revised concepts, classification schemes and databases, Environmental Research, 179, 108799, 10.1016/j.envres.2019.108799
Dimitriadou, 2022, Mortality related to air temperature in European cities, based on threshold regression models, International Journal of Environmental Research and Public Health, 19, 4017, 10.3390/ijerph19074017
Centers for Disease Control and Prevention (CDC), 2000, Heat-related illnesses, deaths, and risk factors—Cincinnati and Dayton, Ohio, 1999, and United States, 1979–1997, Morbidity and Mortality Weekly Report, 49, 470
Fire & Disaster Management Agency (FDMA), 2022, Current status of emergency rescue
Fire & Disaster Management Agency (FDMA), 2022, Data on emergency transport personnel due to heatstroke
Fouillet, 2007, A predictive model relating daily fluctuations in summer temperatures and mortality rates, BMC Public Health, 7, 114, 10.1186/1471-2458-7-114
Guo, 2017, Heat wave and mortality: a multicountry, multicommunity study, Environmental Health Perspectives, 125, 087006, 10.1289/EHP1026
Ikeda, 2021, Development of models for predicting the number of patients with heatstroke on the next day considering heat acclimatization, Journal of the Meteorological Society of Japan, 99, 1395
Ishizaki, 2021, Bias corrected climate scenarios over Japan based on CDFDM method using CMIP6, Ver.1
Japan Sports Association (JSPO), 2013, Exercise guidelines for heatstroke prevention
Kasai, 2017, Heatstroke risk predictions for current and near-future summers in Sendai, Japan, based on mesoscale WRF simulations, Sustainability, 9, 1467, 10.3390/su9081467
Kim, 2019, Weekly heat wave death prediction model using zero-inflated regression approach, Theoretical and Applied Climatology, 137, 823, 10.1007/s00704-018-2636-9
Kodera, 2019, Estimation of heat-related morbidity from weather data: a computational study in three prefectures of Japan over 2013–2018, Environment International, 130, 104907, 10.1016/j.envint.2019.104907
Kong, 2022, Explicit calculations of wet-bulb globe temperature compared with approximations and why it matters for labor productivity, Earth’s Future, 10, e2021EF002334, 10.1029/2021EF002334
Larose, 2013, Whole body heat loss is reduced in older males during short bouts of intermittent exercise, American Journal of Physiology - Regulatory Integrative and Comparative Physiology, 305, R619, 10.1152/ajpregu.00157.2013
Lee, 2021, Estimation of heat-attributable mortality using the cross-validated best temperature metric in Switzerland and South Korea, International Journal of Environmental Research and Public Health, 18, 6413, 10.3390/ijerph18126413
Meade, 2020, Physiological factors characterizing heat-vulnerable older adults: a narrative review, Environ International, 144, 105909, 10.1016/j.envint.2020.105909
Mistry, 2022, Comparison of weather station and climate reanalysis data for modelling temperature-related mortality, Scientific Reports, 12, 5178, 10.1038/s41598-022-09049-4
Ogata, 2021, Heatstroke predictions by machine learning, weather information, and an all-population registry for 12-hour heatstroke alerts, Nature Communications, 12, 4575, 10.1038/s41467-021-24823-0
Ono, 2014, Estimation of wet-bulb globe temperature using generally measured meteorological indices, Japanese Journal of Biometeorology, 50, 147, 10.11227/seikisho.50.147
Papalexiou, 2018, Global, regional, and megacity trends in the highest temperature of the year: diagnostics and evidence for accelerating trends, Earth’s Future, 6, 71, 10.1002/2017EF000709
Ragettli, 2017, Exploring the association between heat and mortality in Switzerland between 1995 and 2013, Environmental Research, 158, 703, 10.1016/j.envres.2017.07.021
Rodrigues, 2020, Statistical modelling of temperature-attributable deaths in Portuguese metropolitan areas under climate change: who is at risk?, Atmosphere, 11, 159, 10.3390/atmos11020159
Scovronick, 2018, The association between ambient temperature and mortality in South Africa: a time-series analysis, Environmental Research, 161, 229, 10.1016/j.envres.2017.11.001
Sheffield, 2018, Not so little differences: variation in hot weather risk to young children in New York City, Public Health, 161, 119, 10.1016/j.puhe.2018.06.004
The American College of Sports Medicine (ACSM), 2022, Heat and humidity guidelines for races
The Climate Change Adaptation Information Platform, 2022, Results of Environmental Research Promotion Fund 2-1805 (Japanese SSP Population Scenarios by Municipality, Version 2)
The Intergovernmental Panel on Climate Change (IPCC), 2021, AR6 Climate change 2021: the physical science basis
The Ministry of the Environment, 2022, Heat illness prevention information
Tokyo Metropolitan Government (TMG), 2022, Households and population in Tokyo based on the basic resident register
Ueno, 2021, Investigating age and regional effects on the relation between the incidence of heat-related ambulance transport and daily maximum temperature or WBGT, Environmental Health and Preventive Medicine, 26, 116, 10.1186/s12199-021-01034-z
Vandentorren, 2006, 2003 heat wave in France: risk factors for death of elderly people living at home, European Journal of Public Health, 16, 583, 10.1093/eurpub/ckl063
Weinberger, 2019, Comparison of temperature–mortality associations estimated with different exposure metrics, Environmental Epidemiology, 3, e072, 10.1097/EE9.0000000000000072