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|Title: ||桃園地區之區域與疾病盛行率之關聯;The association between the Taoyuan area and the prevalence of disease|
|Authors: ||邱奕鈞;Ciou, Yi-Jyun|
|Issue Date: ||2020-09-02 15:43:50 (UTC+8)|
;Diseases are usually caused by a variety of factors, and the influence of external factors on each area is stronger than that of internal factors. The external factors are divided into various environmental factors such as rainfall, temperature, light pollution and air pollution by region. These environmental factors have different degrees of influence in each region, so the prevalence of diseases in each region are also different. There are total of 13 districts in Taoyuan City. Each district has different environmental structure and living habits. We are fortunate to obtain patient data from 2012 to 2015 in the Taoyuan District of Landseed International Hospital, and that includes gender, education, age, and disease. And the districts as the basis for analysis, hoping to find the differences in diseases between regions. In addition to the basic statistic value, we also used the Chi-square test (Yates′s correction) to further adjust the correlation between the category variables, and selected 31 diseases. Finally, we calculated the correlation strength from the odds ratio.
The results of the study show that, except for Luzhu district, the proportion of people with an education level below senior middle school in coastal areas are higher than that of other areas. While the proportion of people aged 16 to 50 in Guishan district and Luzhu district accounted for 70% of the area’s population is higher than that in other districts. We also found that among the selected diseases, the prevalence of "Benign tumor diseases" is lower in the coastal area, while the male is lower than the female; "Mental retardation" in the coastal area has a higher winning rate than the non-coastal area (the odds ratio). And the female population except for the Luzhu district, the prevalence of the disease in the other three coastal areas in coastal district is higher than that in non-coastal areas.
|Appears in Collections:||[系統生物與生物資訊研究所] 博碩士論文|
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