Development of Models for Predicting the Number of Patients with Heatstroke on the Next Day Considering Heat Acclimatization
Author:
Affiliation:
1. Graduate School of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Japan
2. Center for Computational Sciences, University of Tsukuba, Tsukuba, Japan
Publisher
Meteorological Society of Japan
Subject
Atmospheric Science
Link
https://www.jstage.jst.go.jp/article/jmsj/99/6/99_2021-067/_pdf
Reference37 articles.
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2. 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. Environ. Res., 111, 1192-1200.
3. 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. Environ. Health Perspect., 119, 210-218.
4. Barnett, A. G., S. Tong, and A. C. A. Clements, 2010: What measure of temperature is the best predictor of mortality? Environ. Res., 110, 604-611.
5. Bates, D. M., and D. G. Watts, 1988: Nonlinear Regression Analysis and Its Applications. John Wiley & Sons, 365 pp.
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