A time series analysis of mortality and air pollution in Hong Kong from 1997 to 2007
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Weather condition and air pollution have been identified for having strong association with human mortality. Accurate quantification and forecast of the relationship between mortality and weather and air pollutants are essential for developing policy regarding the human health and environmental control. In this study, linear and nonlinear models were used to investigate possible association between total mortality number and air pollution and weather effects in Hong Kong for the period of 1997 - 2007. A seasonal time series analysis was carried out to detect any fluctuation of the data in terms of time. In his study, the result strongly suggests that temperature has significant impact on the mortality number, the same as pollutant ozone (O3) and nitrogen dioxide (NO2). Sulfur dioxide (SO2) was found not to be significantly associated with total mortality and temperature.