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 - Tập 99 Số 6 - Trang 1395-1412 - 2021
Takashi Ikeda1, Hiroyuki Kusaka2
1Graduate School of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Japan
2Center for Computational Sciences, University of Tsukuba, Tsukuba, Japan

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Akatsuka, S., T. Uno, and M. Horiuchi, 2016: The relationship between the heat disorder incidence rate and heat stress indices at Yamanashi Prefecture in Japan. <i>Adv. Meteor.</i>, 2016, 9492815, doi:10.1155/2016/9492815.

Alessandrini, E., S. Z. Sajani, F. Scotto, R. Miglio, S. Marchesi, and P. Lauriola, 2011: Emergency ambulance dispatches and apparent temperature: a time series analysis in Emilia-Romagna, Italy. <i>Environ. Res.</i>, 111, 1192-1200.

Anderson, G. B., and M. L. Bell, 2011: Heat waves in the United States: Mortality risk during heat waves and effect modification by heat wave characteristics in 43 U.S. communities. <i>Environ. Health Perspect.</i>, 119, 210-218.

Barnett, A. G., S. Tong, and A. C. A. Clements, 2010: What measure of temperature is the best predictor of mortality? <i>Environ. Res.</i>, 110, 604-611.

Bates, D. M., and D. G. Watts, 1988: <i>Nonlinear Regression Analysis and Its Applications</i>. John Wiley &amp; Sons, 365 pp.

Breiman, L., 2001: Random forest. <i>Mach. Learn.</i>, 45, 5-32.

Dessai, S., 2002: Heat stress and mortality in Lisbon. Part I. Model construction and validation. <i>Int. J. Biometeorol.</i>, 47, 6-12.

Fire and Disaster Management Agency, Ministry of Internal Affairs and Communications, 2018: <i>Heatstroke Information</i>. 17 pp (in Japanese). [Available at https://www.fdma.go.jp/disaster/heatstroke/item/heatstroke003_houdou01.pdf.] (Accessed on May 1, 2021).

Fouillet, A., G. Rey, E. Jougla, P. Frayssinet, P. Bessemoulin, and D. Hémon, 2007: A predictive model relating daily fluctuations in summer temperatures and mortality rates. <i>BMC Public Health</i>, 7, 114, doi:10.1186/1471-2458-7-114.

Fujibe, F., J. Matsumoto, and H. Suzuki, 2018a: Spatial and temporal features of heat stroke mortality in Japan and their relation to temperature variations, 1999–2014. <i>Geogr. Rev. Japan</i>, 91B, 17-27.

Fujibe, F., J. Matsumoto, and H. Suzuki, 2018b: Regional features of the relationship between daily heat-stroke mortality and temperature in different climate zones in Japan. <i>SOLA</i>, 14, 144-147.

Hastie, T. J., and R. J. Tibshirani, 1990: <i>Generalized Additive Models</i>. Chapman and Hall, New York, 352 pp.

Kim, D.-W., R. C. Deo, S.-J. Park, J.-S. Lee, and W.-S. Lee, 2019: Weekly heat wave death prediction model using zero-inflated regression approach. <i>Theor. Appl. Climatol.</i>, 137, 823-838.

Kim, Y., and S. Joh, 2006: A vulnerability study of the low-income elderly in the context of high temperature and mortality in Seoul, Korea. <i>Sci. Total Environ.</i>, 371, 82-88.

Kodera, S., T. Nishimura, E. A. Rashed, K. Hasegawa, I. Takeuchi, R Egawa, and A. Hirata, 2019: Estimation of heat-related morbidity from weather data: A computational study in three prefectures of Japan over 2013–2018. <i>Environ. Int.</i>, 130, 104907, doi:10.1016/j.envint.2019.104907.

Kusaka, H., M. Hara, and Y. Takane, 2012: Urban climate projection by the WRF model at 3-km horizontal grid increment: Dynamical downscaling and predicting heat stress in the 2070&apos;s August for Tokyo, Osaka, and Nagoya Metropolises. <i>J. Meteor. Soc. Japan</i>, 90B, 47-63.

Lee, D.-G., K. R. Kim, J. Kim, B.-J. Kim, C.-H. Cho, S. C. Sheridan, L. S. Kalkstain, H. Kim, and S.-M. Yi, 2018: Effects of heat waves on daily excess mortality in 14 Korean cities during the past 20 years (1991–2010): An application of the spatial synoptic classification approach. <i>Int. J. Biometeorol.</i>, 62, 575-583.

Lee, M., F. Nordio, A. Zanobetti, P. Kinney, R. Vautard, and J. Schwartz, 2014: Acclimatization across space and time in the effects of temperature on mortality: A time-series analysis. <i>Environ. Health</i>, 13, 89, doi: 10.1186/1476-069X-13-89.

Miyatake, N., N. Sakano, and S. Murakami, 2012: The relation between ambulance transports stratified by heat stroke and air temperature in all 47 prefectures of Japan in August, 2009: Ecological study. <i>Environ. Health Prev. Med.</i>, 17, 77-80.

Nelder, J. A., and R. W. M. Wedderburn, 1972: Generalized linear models. <i>J. Roy. Stat. Soc. A</i>, 135, 370-384.

Ng, C. F. S., K. Ueda, M. Ono, H. Nitta, and A. Takami, 2014: Characterizing the effect of summer temperature on heatstroke-related emergency ambulance dispatches in the Kanto area of Japan. <i>Int. J. Biometeorol.</i>, 58, 941-948.

Ohashi, Y., Y. Kikegawa, T. Ihara, and N. Sugiyama, 2014: Numerical simulations of outdoor heat stress index and heat disorder risk in the 23 wards of Tokyo. <i>J. Appl. Meteor. Climatol.</i>, 53, 583-597.

Okada, M., and H. Kusaka, 2013: Proposal of a new equation to estimate globe temperature in an urban park environment. <i>J. Agric. Meteor.</i>, 69, 23-32.

Ono, M., 2013: Heat stroke and the thermal environment. <i>Japan Med. Assoc. J.</i>, 56, 199-205.

Park, M., D. Jung, S. Lee, and S. Park, 2020: Heatwave damage prediction using random forest model in Korea. <i>Appl. Sci.</i>, 10, 8237, doi:10.3390/app10228237.

Piver, W. T., M. Ando, F. Ye, and C. J. Portier, 1999: Temperature and air pollution as risk factors for heat stroke in Tokyo, July and August 1980–1995. <i>Environ. Health Perspect.</i>, 107, 911-916.

Rainham, D. G. C., and K. E. Smoyer-Tomic, 2003: The role of air pollution in the relationship between a heat stress index and human mortality in Toronto. <i>Environ. Res.</i>, 93, 9-19.

Sato, T., H. Kusaka, and H. Hino, 2020: Quantitative assessment of the contribution of meteorological variables to the prediction of the number of heat stroke patients for Tokyo. <i>SOLA</i>, 16, 104-108.

Shumway, R. H., A. S. Azari, and Y. Pawitan, 1988: Modeling mortality fluctuations in Los Angeles as functions of pollution and weather effects. <i>Environ. Res.</i>, 45, 224-241.

Smoyer, K. E., L. S. Kalkstein, J. S. Greene, and H. Ye, 2000: The impacts of weather and pollution on human mortality in Birmingham, Alabama and Philadelphia, Pennsylvania. <i>Int. J. Climatol.</i>, 20, 881-897.

Stull, R., 2011: Wet-bulb temperature from relative humidity and air temperature. <i>J. Appl. Meteor. Climatol.</i>, 50, 2267-2269.

Suzuki-Parker, A., and H. Kusaka, 2016: Future projections of labor hours based on WBGT for Tokyo and Osaka, Japan, using multi-period ensemble dynamical downscale simulations. <i>Int. J. Biometeorol.</i>, 60, 307-310.

Takaya, A., Y. Morioka, and S. K. Behera, 2014: Role of climate variability in the heatstroke death rates of Kanto region in Japan. <i>Sci. Rep.</i>, 4, 5655, doi:10.1038/srep05655.

Vapnik, V. N., and A. Y. Lerner, 1963: Recognition of patterns with help of generalized portraits. <i>Avtomat. i Telemekh</i>, 24, 774-780.

Wang, Y., Q. Song, Y. Du, J. Wang, J. Zhou, Z. Du, and T. Li, 2019: A random forest model to predict heatstroke occurrence for heatwave in China. <i>Sci. Total Environ.</i>, 650, 3048-3053.

Xing, Q., Z. Sun, Y. Tao, X. Zhang, S. Miao, C. Zheng, and S. Tong, 2020: Impacts of urbanization on the temperature-cardiovascular mortality relationship in Beijing, China. <i>Environ. Res.</i>, 191, 110234, doi:10.1016/j.envres.2020./110234.

Yaglou, C. P., and C. D. Minard, 1957: Control of heat casualties at military training centers. <i>Amer. Med. Assoc. Arch. Ind. Health</i>, 16, 302-316.