Meteorological conditions and air pollutants are recognised as important for human health, with mortality and morbidity of certain diseases linked to abrupt climate change or air pollutant concentration. Environmental factors have been identified in the literature as risk factors for chronic diseases such as ischemic heart disease. However, there is no likelihood evaluation of disease occurrence probability due to environmental factors. The susceptible group was defined as people aged 51-90 years who were free of ischemic heart disease between 1996 and 2002. A risk information system was built using a Bayesian conditional logistic regression model based on a case-crossover design and applied to data from three databases in Taiwan: air quality variables from the Environmental Protection Administration.
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Journal of Environmental Analytical Chemistry received 1781 citations as per Google Scholar report
