English  |  正體中文  |  简体中文  |  Items with full text/Total items : 69937/69937 (100%)
Visitors : 23246385      Online Users : 412
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version


    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/68357


    Title: 探索台灣的季節性疾病與 氣候的相關性;Discovering relationship among climate and seasonal diseases in Taiwan
    Authors: 張文軒;Chang,Wen-Hsuan
    Contributors: 系統生物與生物資訊研究所
    Keywords: 季節性疾病;氣候;相關性;Seasonal diseases;Climate;Relationship
    Date: 2015-07-23
    Issue Date: 2015-09-23 11:30:19 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 近幾年有許多研究指出疾病和環境因子間的關係,其中也包含了氣候的變化,而這些和氣候變化相關的疾病我們稱之為季節性疾病。由於台灣的氣候和他國不一樣,因此在這項研究中,我們利用台北國泰醫院提供的病例資料及從中央氣象局網站獲得的氣候資料來實驗,希望能發現一些屬於台灣的季節性疾病,並打算以此建構一個疾病網路圖,當中包含了和不同氣候的相關性。我們藉由計算疾病各月份的病例數和氣候資料間的相關係數來呈現他們的相關性。
    在我們的結果中,我們得知了許多疾病和氣候有著相關性,例如急性鼻竇炎(ICD9-461)和急性上呼吸道感染(ICD9-465),而這兩者都和氣溫呈現顯著的負相關。相對濕度的部分,膝內障礙(ICD9-717)和上呼吸道之其他疾病(ICD9-478)和濕度也呈現顯著的負相關。除此之外,消化系統其他部位之良性腫瘤(ICD9-211)和接觸性皮膚炎及其他濕疹(ICD9-692)則同時和日照時數及降雨天數有著顯著的相關性。同時我們也有做細分性別與年齡層後的分析,舉例來說,其他背部疾患(ICD9-724)對女性而言,只有在20歲以下的年齡層和氣溫不具相關性,但對男性而言,卻是在60歲以上和氣溫不具相關性。
    最後我們希望利用這些分析實驗所得到的結果來建構一個獨特的動態疾病網路,他可以呈現出不同疾病和不同氣候因子間的相關性及疾病之間的影響傳遞路徑。
    ;It has been reported that environment factors may be related to several diseases in recent years, especially weather. The diseases which are related to the weather are called seasonal diseases. In this study, we expect to identify some new seasonal diseases in Taiwan through the diagnostic data from Cathay General Hospital in Taipei. Also, we collect the climate data from Central Weather Bureau′s website in Taiwan because these climate factors in Taiwan are different to what Europe and US have. We expect to construct a disease network database through diagnostic data and climate data (includes air temperature, relative humidity, hours of sunshine, and days of rain). In the disease network, we defined and calculated the correlation coefficients between the cases of illness and the climate data, then we can inferred the relation of both categories.
    In our results, we found that many diseases were correlating with air temperature, such as acute sinusitis (ICD9-461) and acute upper respiratory infections of multiple or unspecified sites (ICD9-465), they were both negatively related. For relative humidity, internal derangement of knee (ICD9-717) and other diseases of upper respiratory tract (ICD9-478) were also negatively related. In addition, benign neoplasm of other parts of digestive system (ICD9-211) and contact dermatitis and other eczema (ICD9-692) were correlated with either hours of sunshine or days of rain. We also analyzed to investigate whether different sex and ages affected occurrence of diseases. For air temperature, other and unspecified disorders of back (ICD9-724) was not related with younger group (ages less than 20) in female; however, it was not related with older group (ages more than 60) in male.
    At last, we obtain the correlations of diseases through this analysis, and then we hope to construct a special and dynamic disease network, which may show the correlations between different diseases and external factors, then profile the occurring pattern of diseases.
    Appears in Collections:[系統生物與生物資訊研究所] 博碩士論文

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML673View/Open


    All items in NCUIR are protected by copyright, with all rights reserved.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback  - 隱私權政策聲明