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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 溫在弘(Tzai-Hung Wen) | |
| dc.contributor.author | Ching-Shun Hsu | en |
| dc.contributor.author | 許景舜 | zh_TW |
| dc.date.accessioned | 2021-06-15T13:32:38Z | - |
| dc.date.available | 2021-03-08 | |
| dc.date.copyright | 2016-03-08 | |
| dc.date.issued | 2016 | |
| dc.date.submitted | 2016-02-02 | |
| dc.identifier.citation | Anderson, R.-M., & May, R.-M., (1991) Infectious diseases of humans: dynamics and control. New York:Oxford University Press.
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/51391 | - |
| dc.description.abstract | 人口移動行為是影響傳染病中，人類與病媒接觸、暴露的重要影響因子，因此差異化不同個體之間接觸與暴露的程度，是重要的研究課題。近年的研究趨勢係以高解析度的定位裝置進行個人活動行為的資料收集，進行基於個人的環境汙染物暴露評估，或探討個體行為的差異對疾病傳播的影響等。然而，以傳染病擴散模式進行個人化的健康風險評估，尚未有清楚的學術討論。因此，本研究目的在於架構個人化的疾病暴露風險評估模式，以此評估在傳染病爆發的環境下，個體的移動行為所導致的暴露感染機率，進行個人化的傳染病暴露風險評估。
本研究將發展個人化傳染病傳播的暴露風險評估的系統架構，將分為：一、以開發智慧型手機應用程式作為個人端的風險管理介面，進行個人行為資訊的收集以及環境風險分布、個人風險指標等疫情資訊等資訊傳遞的功能；二、透過傳染病數學模式的建立，模擬在校園爆發呼吸道傳染病的群聚感染疫情，並將個人的行為資訊與傳染病傳播風險分布整合分析，進行個人化的傳染病暴露風險評估。本研究以國立台灣大學公館校區的環境進行試作，建立校園傳染病傳播的分析模式，以修課資料庫中學生的修課行為描述校園教學大樓的網絡關係，建立傳染病擴散分析模式，模擬傳染病於校園教學大樓間傳播的過程與風險分布。另一方面，整合學生個人的修課與移動行為進行傳染病暴露風險評估，並進一步討論學生修課行為特性、知曉疫情的行為改變機制與個人暴露風險之間的關係。 藉由建立個人傳染病傳播的暴露風險評估架構，本研究得以進一步探討行為與個人傳染病風險暴露之間的關係，研究發現在集中的行為特性下，個人的傳染病風險較低，例如將課程安排在少數幾天而非均勻地安排在一週；另一方面，在行為改變機制上發現請假的行為機制對於個人的傳染病風險有降低的效果，但對於整體疫情傳播速度與嚴重程度的抑制效果則需要在多數學生都採取請假措施時才得以彰顯。 在防疫概念上，本研究的發現在傳染病爆發時，對於個人行為的安排能提供概略性的方向，對於權責單位則需宣導學生衛生與防疫意識。在模式建構上，此系統架構提供了行為改變的相關研究進行實證分析的視野，希冀未來資通訊技術更加蓬勃發達時能進行實際應用。 | zh_TW |
| dc.description.abstract | Human mobility is an important risk factor affecting disease transmission. Therefore, understanding detailed spatial behaviors and interactions among individuals is a fundamental issue. Past studies using high-resolution human contacts data from smart phones with GPS logs have captured spatial-temporal heterogeneity and daily contact patterns among individuals. However, measuring personalized exposed risk of infectious disease transmission is still under development. The purpose of the study is to establish a framework for assessing personalized exposed risk of infectious disease transmission.
The framework consists of two components: the first is client-side smart phone-based risk assessment module. We developed Android application for collecting individual mobility data and displaying the personalized exposed risk score. The second component is the server-side epidemic simulation model. The simulation model calculated the personalized exposed risk score based on individual mobility data from the client-side Android application. We used NTU main campus as a pilot study to demonstrate the feasibility of the framework. We analyzed the records of students’ taking course and modeled the spatial interaction relationships among classroom buildings due to students’ mobility around the campus. Each student who installed the client-side risk assessment module in his/her smart phone receives the real-time personalized exposed risk score when an epidemic outbreak on the NTU campus. Furthermore, we explored the relationships between personalized exposed risk score and course taking behaviors including a simple behavior change mechanism. The study proposed a framework for measuring real-time personalized exposed risk. Each student at the campus could understand the spatial diffusion of disease transmission and make better spatial decisions based on personalized exposed risk scores to avoid getting infectious diseases. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T13:32:38Z (GMT). No. of bitstreams: 1 ntu-105-R02228008-1.pdf: 5811807 bytes, checksum: 4487aeccb52ae7773d8a49d809d616e5 (MD5) Previous issue date: 2016 | en |
| dc.description.tableofcontents | 中文摘要 I
英文摘要 II 目錄 IV 圖目錄 VI 表目錄 VII 第一章 緒論 1 第二章 文獻回顧 6 第一節 個人化的環境暴露研究架構與應用 7 第二節 個人行為資料的收集與分析 9 第三節 環境風險分布–考量人群移動行為的傳染病擴散分析 12 第四節 因應傳染病傳播的個人行為改變機制 14 第五節 小結 16 第三章 研究方法 17 第一節 個人化疾病暴露風險評估的決策支援系統架構 17 第二節 校園環境的傳染病擴散分析模式 19 一、校園教學大樓間的學生流動網絡 19 二、多層次時空網絡結構的傳染病擴散分析模式 21 第三節 個人風險管理應用程式 25 一、服務註冊 25 二、行為紀錄 25 三、個人化傳染病暴露風險評估 26 第四節 個人行為改變的機制與模擬 28 第四章 研究結果 31 第一節 模式應用 32 一、使用端的學生風險查詢情境 32 二、分析端的校園防疫權責單位使用情境 33 第二節 行為特性與個人風險 37 第三節 行為改變對疫情傳播與個人風險之影響 42 第四節 起始爆發點的敏感度分析 47 第五節 小結 51 第五章 討論 52 第一節 系統實作與互動 52 第二節 行為與風險 55 第三節 校園防疫 58 第四節 架構延伸與應用 59 一、個人行為改變的機制 59 二、防疫權責單位擬定的防疫策略 60 三、評估架構的其他案例研究 60 第五節 研究限制 62 第六章 結論 63 參考文獻 64 | |
| dc.language.iso | zh-TW | |
| dc.subject | 決策支援 | zh_TW |
| dc.subject | 傳染病擴散 | zh_TW |
| dc.subject | 個人化暴露風險評估 | zh_TW |
| dc.subject | 行為改變 | zh_TW |
| dc.subject | 人口移動 | zh_TW |
| dc.subject | 傳染病擴散 | zh_TW |
| dc.subject | 個人化暴露風險評估 | zh_TW |
| dc.subject | 決策支援 | zh_TW |
| dc.subject | 行為改變 | zh_TW |
| dc.subject | 人口移動 | zh_TW |
| dc.subject | decision making | en |
| dc.subject | behavior change | en |
| dc.subject | human mobility | en |
| dc.subject | infectious diseases | en |
| dc.subject | human mobility | en |
| dc.subject | decision making | en |
| dc.subject | behavior change | en |
| dc.subject | personalized exposure assessment | en |
| dc.subject | infectious diseases | en |
| dc.subject | personalized exposure assessment | en |
| dc.title | 建立傳染病傳播的個人暴露風險評估架構 | zh_TW |
| dc.title | A framework for assessing personalized exposure risk of infectious disease transmission | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 104-1 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 方啟泰(Chi-Tai Fang),黃崇源(Chung-Yuan Hung) | |
| dc.subject.keyword | 傳染病擴散,個人化暴露風險評估,決策支援,行為改變,人口移動, | zh_TW |
| dc.subject.keyword | infectious diseases,personalized exposure assessment,behavior change,decision making,human mobility, | en |
| dc.relation.page | 71 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2016-02-02 | |
| dc.contributor.author-college | 理學院 | zh_TW |
| dc.contributor.author-dept | 地理環境資源學研究所 | zh_TW |
| 顯示於系所單位： | 地理環境資源學系 | |
文件中的檔案：
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-105-1.pdf 未授權公開取用 | 5.68 MB | Adobe PDF |
系統中的文件，除了特別指名其著作權條款之外，均受到著作權保護，並且保留所有的權利。