Type 2 diabetes mellitus (T2DM) is a common chronic disease predisposing to cardiovascular disease (CVD) which is one of the principal causes of death among diabetic patients Epidemiological studies have shown that air pollution might be a risk factor for CVD while the exposure of air pollution of each patient may vary spatially due to geographic locations Consequently there might exist a spatial correlation between the time of onset of CVD and different air pollutants To investigate the associations between survival time and the risk factors while taking the spatial correlation into account a spatial parametric proportional hazards model is applied in which the spatially correlated frailties are modeled by a log-Gaussian stochastic process Bayesian approach is used for the estimation of parameters Based on the results both PM2 5 and SO2 increase the risk of CVD The hazard ratio (HR) of PM2 5 is 1 0399 [1 0041 1 0731] and SO2 is also a significant factor while HR is 1 8859 [1 6428 2 1137]
| Date of Award | 2019 |
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| Original language | English |
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| Supervisor | Pei-Fang Su (Supervisor) |
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A spatial survival model for analyzing air pollution and cardiovascular disease in Taiwan
妃琪, 謝. (Author). 2019
Student thesis: Doctoral Thesis