OBJECTIVE: To investigate the association between temperature and daily mortality in Shanghai from June 1, 2000 to December 31, 2001. METHODS: Time-series approach was used to estimate the effect of temperature on daily total and cause-specific mortality. We fitted generalized additive Poisson regression using non-parametric smooth functions to control for long-term time trend, season and other variables. We also controlled for day of the week. RESULTS: A gently sloping V-like relationship between total mortality and temperature was found, with an optimum temperature (e.g. temperature with lowest mortality risk) value of 26.7 degrees C in Shanghai. For temperatures above the optimum value, total mortality increased by 0.73% for each degree Celsius increase; while for temperature below the optimum value, total mortality decreased by 1.21% for each degree Celsius increase. CONCLUSIONS: Our findings indicate that temperature has an effect on daily mortality in Shanghai, and the time-series approach is a useful tool for studying the temperature-mortality association.
CITATION STYLE
Jiang, Y., Chen, R., & Kan, H. (2019). The Interaction of Ambient Temperature and Air Pollution in China. In Ambient Temperature and Health in China (pp. 105–116). Springer Singapore. https://doi.org/10.1007/978-981-13-2583-0_7
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