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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 金傳春(Chwan-Chuen King) | |
dc.contributor.author | Chuin-Shee Shang | en |
dc.contributor.author | 尚君璽 | zh_TW |
dc.date.accessioned | 2021-05-20T19:58:35Z | - |
dc.date.available | 2012-07-20 | |
dc.date.available | 2021-05-20T19:58:35Z | - |
dc.date.copyright | 2010-07-20 | |
dc.date.issued | 2010 | |
dc.date.submitted | 2010-07-13 | |
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/8578 | - |
dc.description.abstract | 受登革病毒感染的旅客經常成為散播病毒至其他地區的重要途徑,甚而引發他國的流行;然而這些感染的旅客入境後和當地氣候、病媒以及本地疫情之間的互動關係並不清楚。由於境外移入病例與本地登革疫情關係的議題長期受到忽略,本研究即在探究臺灣地區的境外移入登革病例和氣候因子,對於本地疫情發生之影響,進而可讓基層與中央衛生人員將危險層級資訊馬上應用於疾病防控策略。
我們使用羅吉斯(logistic)和普瓦松(Poisson)迴歸模式分析1998至2007年間臺灣南部地區經實驗室診斷證實的登革確定病例,以區辨在氣候因子的作用下,境外移入和本地登革病例的時序相關性。結果發現本地登革疫情的發生與境外移入病例數(2至14週前)、高溫(6至14週前)及低濕度(6至20週前)之間,具有延遲的相關性。此外,境外移入病例數和本地登革病例數僅在流行被引發的「初期」階段,才有明顯數量上的相關性;一旦流行持續發生,此種關係即不復見。另外,根據單變項分析的結論,挑選出的重要氣候因子所建立的羅吉斯迴歸模式,可以進一步建立登革危險性指標的預警數值。經初步運算,此法優於僅以前期登革危險性指標(dengue risk index, DRI)值預測本期DRI值的效果,在加入氣候因子後,模式預測值與觀察值的相關係數(Spearman correlation)可達0.71(屏東地區)、0.84(高雄地區)以及0.86(台南地區);至於泰國地區也有0.66-0.77的水準。由此可知此法不但適用於台灣登革疫情層級之預警,也適用於泰國海岸五省的疫情預測。 這些發現顯示,惟有氣象條件適宜時,境外移入登革病例才有可能引發本地的疫情。據此,經由境外移入病例的快速實驗診斷、早期發現以及管理,可以遏止其後大規模登革/登革出血熱流行的發生。因此整合氣象資訊的早期警示監測系統,將是登革疫情尚未成為地方性流行的地區用以成功防治疫情的無價利器。 | zh_TW |
dc.description.abstract | Travelers who acquire dengue infection are often routes for virus transmission to other regions. Nevertheless, the interplay between infected travelers, climate, vectors, and indigenous dengue incidence remains unclear. The role of foreign-origin cases on local dengue epidemics has thus been largely neglected by research. This study investigated the effect of both imported dengue and local meteorological factors on the occurrence of indigenous dengue in Taiwan.
Using logistic and Poisson regression models, we analyzed bi-weekly, laboratory-confirmed dengue cases at their onset dates of illness from 1998 to 2007 to identify correlations between indigenous dengue and imported dengue cases (in the context of local meteorological factors) across different time lags. Our results revealed that the occurrence of indigenous dengue was significantly correlated with temporally-lagged cases of imported dengue (2-14 weeks), higher temperatures (6-14 weeks), and lower relative humidity (6-20 weeks). In addition, imported and indigenous dengue cases had a significant quantitative relationship in the onset of local epidemics. However, this relationship became less significant once indigenous epidemics progressed past the initial stage. Polytomous Logistic regression model with relevant meteorological variables stepwise selected were able to fitting the value of Dengue Risk Index (DRI) in both Taiwan and Thailand. The Spearman correlation between observed DRI and model-expected DRI ranged from 0.71 to 0.86 in Taiwan and from 0.66 to 0.77 in Thailand, respectively. These findings imply that imported dengue cases are able to initiate indigenous epidemics when appropriate weather conditions are present. Early detection and case management of imported cases through rapid diagnosis may avert large-scale epidemics of dengue/dengue hemorrhagic fever. The potential application of DRI with meteorological modeling in both Taiwan and Thailand demonstrated that its feasibility to be extended to other countries for the current important issue on global warming and dengue. The deployment of an early-warning surveillance system, with the capacity to integrate meteorological data, will be an invaluable tool for successful prevention and control of dengue, particularly in non-endemic countries. | en |
dc.description.provenance | Made available in DSpace on 2021-05-20T19:58:35Z (GMT). No. of bitstreams: 1 ntu-99-D91842003-1.pdf: 1169811 bytes, checksum: 002d533f2d8572e303ae08f5a0d30465 (MD5) Previous issue date: 2010 | en |
dc.description.tableofcontents | Signature Page(口試委員會審定書) i
Acknowledgements(誌謝) ii Chinese Abstract(中文摘要) iii Abstract v List of Figures ix List of Tables x Chapter 1 Introduction 1 1.1 The impact of climate on dengue epidemics 1 1.2 Unsolved questions 2 Chapter 2 Literature Review 3 2.1 Global status of dengue 3 2.2 Dengue in Taiwan 3 2.3 The impact of imported cases 7 2.4 Meteorological effects 8 2.5 Modeling for dengue incidence 9 2.6 Potential usage of dengue risk index (DRI) 10 Chapter 3 Objectives and Specific Aims 13 3.1 Objectives and Specific Aims 13 3.2 Hypotheses 13 Chapter 4 Materials and Methods 15 4.1 Study areas 15 4.2 Epidemiological data 15 4.3 Meteorological data 16 4.4 Thailand’s data 17 4.5 Statistical analyses 17 Chapter 5 Results 22 5.1 Logistic regression models for the occurrence and increase of indigenous dengue cases: Univariate analyses 24 5.2 Impact of imported dengue on indigenous dengue at three epidemic phases 25 5.3 Poisson regression model fitted with meteorological variables on number of dengue cases 25 5.4 The distribution of monthly DRI 26 5.5 Correlation between monthly reported and confirmed DRI in Taiwan 28 5.6 Comparing with different time unit of DRI 28 5.7 Predicting models of DRI 28 Chapter 6 Discussion 31 6.1 The uniqueness of dengue analyses in Taiwan 32 6.2 The combined effect of imported dengue and meteorological factors 33 6.3 The effect of vector control on epidemics of dengue 35 6.4 The increasing severity of dengue/DHF epidemics in Taiwan 35 6.5 Better interpretation with logistic and Poisson regression models 37 6.6 Application of DRI to dengue control 38 6.7 The predictability of newly developed DRI models 39 6.8 Limitations 40 6.9 Future direction 41 Chapter 7 Recommendations 43 References 44 Tables 51 Figures 65 Appendix 80 | |
dc.language.iso | en | |
dc.title | 建立以氣候資訊為基礎的台灣登革流行預測模式:1998-2007年登革流行病學和氣象學因子之時序分析 | zh_TW |
dc.title | Establishment of a Better Prediction System for Dengue Epidemics in Taiwan: Temporal Analyses of Epidemiological and Meteorological Factors of Dengue during 1998-2007 | en |
dc.type | Thesis | |
dc.date.schoolyear | 98-2 | |
dc.description.degree | 博士 | |
dc.contributor.coadvisor | 方啟泰(Chi-Tai Fang) | |
dc.contributor.oralexamcommittee | 柳中明(Chung-Ming Liu),張念台(Nian-Tai Chang),梁賡義(Kung-Yee Liang) | |
dc.subject.keyword | 登革熱/登革出血熱,本土流行,境外移入病例,氣象,迴歸模式,登革危險性指標, | zh_TW |
dc.subject.keyword | dengue,meteorology,climate,weather,regression model,Dengue Risk Index, | en |
dc.relation.page | 82 | |
dc.rights.note | 同意授權(全球公開) | |
dc.date.accepted | 2010-07-13 | |
dc.contributor.author-college | 公共衛生學院 | zh_TW |
dc.contributor.author-dept | 流行病學研究所 | zh_TW |
顯示於系所單位: | 流行病學與預防醫學研究所 |
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