|Title:||Bayesian Approach to Disease Risk Evaluation Based on Air Pollution and Weather Conditions||Authors:||CHARLOTTE WANG
CHUHSING KATE HSIAO
|Keywords:||Bayesian conditional logistic regression; air pollutants; case-crossover study design; meteorological factors||Issue Date:||6-Jan-2023||Publisher:||MDPI||Journal Volume:||20||Journal Issue:||2||Source:||International Journal of Environmental Research and Public Health||Abstract:||
Environmental factors such as meteorological conditions and air pollutants are recognized as important for human health, where mortality and morbidity of certain diseases may be related to abrupt climate change or air pollutant concentration. In the literature, environmental factors have been identified as risk factors for chronic diseases such as ischemic heart disease. However, the likelihood evaluation of the disease occurrence probability due to environmental factors is missing.
|Appears in Collections:||流行病學與預防醫學研究所|
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