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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 方啟泰 | zh_TW |
| dc.contributor.advisor | Chi-Tai Fang | en |
| dc.contributor.author | 鄭雅嬪 | zh_TW |
| dc.contributor.author | Ya-Ping Cheng | en |
| dc.date.accessioned | 2021-07-10T22:08:02Z | - |
| dc.date.available | 2024-02-28 | - |
| dc.date.copyright | 2018-10-11 | - |
| dc.date.issued | 2018 | - |
| dc.date.submitted | 2002-01-01 | - |
| dc.identifier.citation | 1. UNAIDS. UNAIDS DATA. 2017; Available from: http://www.unaids.org/sites/default/files/media_asset/20170720_Data_book_2017_en.pdf.
2. Taiwan Centers for Diseases Control. Statistics of HIV/AIDS. [cited 2018 April 30]; Available from: https://www.syndriver.com/portal/#/sharing/796bf4148136447e8e885b980686e4cf. 3. WHO. Consolidated guidelines on HIV prevention, diagnosis, treatment and care for key populations. 2014; Available from: http://www.who.int/hiv/pub/guidelines/keypopulations/en/. 4. Cohen, M.S., et al., Prevention of HIV-1 infection with early antiretroviral therapy. N Engl J Med, 2011. 365(6): p. 493-505. 5. Granich, R.M., et al., Universal voluntary HIV testing with immediate antiretroviral therapy as a strategy for elimination of HIV transmission: a mathematical model. Lancet, 2009. 373(9657): p. 48-57. 6. UNAIDS. 90-90-90: An ambitious treatment target to help end the AIDS epidemic. 2014; Available from: http://www.unaids.org/sites/default/files/media_asset/90-90-90_en.pdf. 7. Powers, K.A., et al., The role of acute and early HIV infection in the spread of HIV and implications for transmission prevention strategies in Lilongwe, Malawi: a modelling study. Lancet, 2011. 378(9787): p. 256-68. 8. Hayes, R.J. and R.G. White, Role of acute infection in HIV transmission. The Lancet, 2011. 378(9807): p. 1913-1914. 9. McCormack, S., et al., Pre-exposure prophylaxis to prevent the acquisition of HIV-1 infection (PROUD): effectiveness results from the pilot phase of a pragmatic open-label randomised trial. Lancet, 2016. 387(10013): p. 53-60. 10. Molina, J.M., et al., On-Demand Preexposure Prophylaxis in Men at High Risk for HIV-1 Infection. N Engl J Med, 2015. 373(23): p. 2237-46. 11. Grant, R.M., et al., Uptake of pre-exposure prophylaxis, sexual practices, and HIV incidence in men and transgender women who have sex with men: a cohort study. Lancet Infect Dis, 2014. 14(9): p. 820-9. 12. Molina, J.M., et al., Efficacy, safety, and effect on sexual behaviour of on-demand pre-exposure prophylaxis for HIV in men who have sex with men: an observational cohort study. Lancet HIV, 2017. 4(9): p. e402-e410. 13. Grant, R.M., et al., Preexposure chemoprophylaxis for HIV prevention in men who have sex with men. N Engl J Med, 2010. 363(27): p. 2587-99. 14. Gomez, G.B., et al., The cost and impact of scaling up pre-exposure prophylaxis for HIV prevention: a systematic review of cost-effectiveness modelling studies. PLoS Med, 2013. 10(3): p. e1001401. 15. Kim, S.B., et al., Mathematical modeling of HIV prevention measures including pre-exposure prophylaxis on HIV incidence in South Korea. PLoS One, 2014. 9(3): p. e90080. 16. Kessler, J., et al., Evaluating the impact of prioritization of antiretroviral pre-exposure prophylaxis in New York. Aids, 2014. 28(18): p. 2683-91. 17. Schneider, K., R.T. Gray, and D.P. Wilson, A cost-effectiveness analysis of HIV preexposure prophylaxis for men who have sex with men in Australia. Clin Infect Dis, 2014. 58(7): p. 1027-34. 18. Punyacharoensin, N., et al., Effect of pre-exposure prophylaxis and combination HIV prevention for men who have sex with men in the UK: a mathematical modelling study. Lancet HIV, 2016. 3(2): p. e94-e104. 19. Drabo, E.F., et al., A Cost-effectiveness Analysis of Preexposure Prophylaxis for the Prevention of HIV Among Los Angeles County Men Who Have Sex With Men. Clin Infect Dis, 2016. 63(11): p. 1495-1504. 20. MacFadden, D.R., D.H. Tan, and S. Mishra, Optimizing HIV pre-exposure prophylaxis implementation among men who have sex with men in a large urban centre: a dynamic modelling study. J Int AIDS Soc, 2016. 19(1): p. 20791. 21. Gomez, G.B., et al., The potential impact of pre-exposure prophylaxis for HIV prevention among men who have sex with men and transwomen in Lima, Peru: a mathematical modelling study. PLoS Med, 2012. 9(10): p. e1001323. 22. Nichols, B.E., et al., Cost-effectiveness analysis of pre-exposure prophylaxis for HIV-1 prevention in the Netherlands: a mathematical modelling study. Lancet Infect Dis, 2016. 16(12): p. 1423-1429. 23. Cambiano, V., et al., Cost-effectiveness of pre-exposure prophylaxis for HIV prevention in men who have sex with men in the UK: a modelling study and health economic evaluation. Lancet Infect Dis, 2018. 18(1): p. 85-94. 24. 方啟泰, HIV "暴露前預防投藥" 策略對台灣男男間性行為者傳染愛滋疫情的防治效果: 數理模式研究與成本效益分析(第1年), in 科技部補助專題研究計畫成果報告期中進度報告(MOST 106-2314-B-002-115-MY3). 2018. 25. 吳慧娟, HIV暴露前預防投藥策略對台灣男男間性行為傳染愛滋疫情的防治效果:數理模式研究, in 預防保健與衛生學. 2016, 臺灣大學. p. 1-59. 26. Wawer, M.J., et al., Rates of HIV-1 transmission per coital act, by stage of HIV-1 infection, in Rakai, Uganda. J Infect Dis, 2005. 191(9): p. 1403-9. 27. Hollingsworth, T.D., R.M. Anderson, and C. Fraser, HIV-1 transmission, by stage of infection. J Infect Dis, 2008. 198(5): p. 687-93. 28. Longini, I.M., Jr., et al., The dynamics of CD4+ T-lymphocyte decline in HIV-infected individuals: a Markov modeling approach. J Acquir Immune Defic Syndr, 1991. 4(11): p. 1141-7. 29. Vittinghoff, E., et al., Per-contact risk of human immunodeficiency virus transmission between male sexual partners. Am J Epidemiol, 1999. 150(3): p. 306-11. 30. Patel, P., et al., Estimating per-act HIV transmission risk: a systematic review. Aids, 2014. 28(10): p. 1509-19. 31. 邱珠敏 and 丁志音, 「愛滋病個案管理師計畫」對於個案行為與健康狀況之影響. 台灣公共衛生雜誌, 2010. 29(4): p. 299-310. 32. 陳立樺, 接受愛滋病個案管理之男同志保險套使用行為意圖及相關因素探討, in 社會醫學. 2013, 高雄醫學大學. 33. 蔡春美, 愛在“正”、“負”之間 愛滋身分相異男同性戀伴侶的諮商經驗. 愛之關懷季刊, 2008(63): p. 24-33. 34. 李夢萍, HIV Positive!青少年男同志愛滋感染者之生命經驗與性實踐, in 醫藥總論. 2011, 高雄醫學大學. p. 1-110. 35. 林美珍, 愛滋病男同志親密關係及性慾探究, in 人類學及族群研究. 2015, 樹德科技大學. p. 1-87. 36. 陳姝蓉, et al., 男同志感染者的親密關係一以情感層面為主的探討. 中華心理衛生學刊, 2004. 17(4): p. 97-126. 37. Koblin, B.A., et al., Risk factors for HIV infection among men who have sex with men. Aids, 2006. 20(5): p. 731-9. | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/77546 | - |
| dc.description.abstract | 背景:消除HIV疫情其中一項重要挑戰為急性期的傳播,急性期因空窗期的影響,沒辦法檢驗出感染HIV,故Test-and-Treat在此階段沒辦法發揮控制疫情的效果。是否PrEP的擴大實施能夠填補這塊空缺而成功控制消除HIV,目前仍不清楚。再者,若PrEP能夠幫助消除HIV疫情,是否會因現實中風險補償(導致不安全性行為增加)、不規則服藥及抗藥性病毒株浮現等實務問題而受影響,此問題仍需要更進一步的探討。
方法:透過建立一個真實機率傳播模式(Realistic stochastic model),模擬一個HIV陽性的高風險MSM(以下稱「指標個案」),在他的生命歷程中,有多少原本是HIV陰性的MSM會被他傳染。模擬以「天」為單位。指標個案皆從20歲感染HIV開始模擬起。模型參數皆使用目前最佳估計,包含HIV疾病進程、傳播機率、HIV Cascade、死亡率、ART以及PrEP效果等等。模擬終止條件為指標個案中途因非AIDS相關死亡、因AIDS死亡或達45歲。每個情境模擬1,000次,會得到1,000個R0值,取平均得到該情境R0的平均值。透過不同情境R0的模擬,評估Test-and-Treat, PrEP或兩者合併實施在公共衛生上的效果;另外,也會對平均每年性伴侶人數、風險補償(Risk compensation)、服藥遵從性、抗藥性以及針對高風險族群介入做敏感度分析,評估這些因素對公共衛生帶來的影響。 結果:HIV急性期造成的傳播,在伴侶≥50/year時,將使Test-and-Treat無法消除HIV疫情。然而,PrEP可以補足Test-and-Treat的不足,產生加乘作用。台灣MSM平均每年性伴侶人數為65人,實施Annual HIV testing followed by immediate ART合併50%的PrEP覆蓋率,並且服藥遵從性至少達到75%,才能夠消除HIV疫情。風險補償與抗藥性不會影響PrEP消除HIV疫情的效果。若只針對MSM高風險族群給予PrEP,實施Annual HIV testing followed by immediate ART合併針對高風險族群PrEP覆蓋率則須提高到75%,並且服藥遵從性至少達到75%,才能夠消除HIV疫情。同樣地,風險補償與抗藥性也不會影響針對高風險族群給予PrEP消除HIV疫情的效果。 結論:PrEP的擴大實施是必要的,才能夠填補Test-and-Treat的不足,達到消除HIV疫情的目標。此研究結果可以作為台灣目前被熱烈討論的議題是否公費補助PrEP以及如何補助提供參考與建議。 | zh_TW |
| dc.description.abstract | Background: An important barrier to eliminate HIV epidemic by 2030 is HIV transmissions occur in acute stage of HIV infection, the window period when the principle of HIV test-and-treat/treatment-as-prevention is not applicable. It remains unclear whether pre-exposure prophylaxis (PrEP), a highly effective approach to reduce HIV risk for HIV-negative men who have sex with men (MSM), can overcome this barrier which might jeopardize the global HIV elimination strategy.
Methods: We constructed a realistic stochastic model that simulated the life course of an MSM with high-risk behaviors. The HIV infection started on 20-years-old. The model incorporated the best estimates for HIV disease progression, Transmission probability, death rate, antiretroviral therapy, PrEP, as well as HIV cascades (based on actual data in Taiwan). The basic reproductive number (R0) under each scenario was estimated by the average number of secondary HIV infections during 20-45 years, over 1,000 simulations. Evaluate the effects of Test-and-Treat strategy, scaling-up PrEP or combination of two strategies on public health. Moreover, sensitivity analysis was conducted, including contact rate, risk compensation, PrEP compliance, drug resistance. Results: HIV transmissions from acute stage accounted for more than two-third of secondary infections, under currently best estimate for relative infectiousness of acute stage (26-fold), when the index case has 50 sexual partners per year. Test-and-treat strategy alone would fail to reduce R0 to below 1 under such scenario. However, PrEP can supplement test-and-treat and make elimination feasible again. MSM in Taiwan has an average annual number of sexual partners of 65, the implementation of annual HIV testing followed by immediate ART combined with 50% PrEP coverage, and PrEP compliance of at least 75%, can eliminate the HIV epidemic. Risk compensation and drug resistance do not affect the effectiveness of PrEP in eliminating HIV epidemic. If target PrEP on high-risk group, the HIV epidemic can be eliminated by implementing annual HIV testing followed by immediate ART combined with 75% PrEP coverage on the high-risk group MSM and at least 75% compliance. Conclusion: HIV transmission during acute HIV infection cannot be prevented by HIV test-and-treat alone in certain high-risk scenario. It would be necessary to scale-up PrEP to make elimination feasible again. Our findings could be highly relevant to current debate on whether and how to fund PrEP for high-risk key populations worldwide. | en |
| dc.description.provenance | Made available in DSpace on 2021-07-10T22:08:02Z (GMT). No. of bitstreams: 1 ntu-107-R05849001-1.pdf: 5627822 bytes, checksum: 3a1c988847784328a2549f68994692dd (MD5) Previous issue date: 2018 | en |
| dc.description.tableofcontents | 論文口試委員審定書 I
致謝 II 摘要 III Abstract V 目錄 VII 圖目錄 VIII 表目錄 IX 緒論 1 研究方法 5 模型基本假設 5 模型架構 5 模型參數設定 6 結果 12 Test-and-Treat和PrEP的加乘效果 12 性伴侶個數對加乘效果的影響 12 風險補償對疫情的影響 13 服藥遵從性對疫情的影響 13 抗藥性對疫情的影響 13 針對高危險群介入的效果 14 討論 15 參考文獻 19 附錄 43 | - |
| dc.language.iso | zh_TW | - |
| dc.subject | 人類免疫不全病毒 | zh_TW |
| dc.subject | HIV暴露前預防投藥 | zh_TW |
| dc.subject | HIV疫情 | zh_TW |
| dc.subject | 男男間性行為 | zh_TW |
| dc.subject | 臺灣 | zh_TW |
| dc.subject | 基礎再生數 | zh_TW |
| dc.subject | 機率傳播模式 | zh_TW |
| dc.subject | HIV | en |
| dc.subject | Stochastic Modeling | en |
| dc.subject | Basic Reproductive Number | en |
| dc.subject | Taiwan | en |
| dc.subject | Men Who Have Sex with Men (MSM) | en |
| dc.subject | epidemic | en |
| dc.subject | Pre-Exposure Prophylaxis | en |
| dc.title | HIV暴露前預防投藥對台灣男男間性行為傳染愛滋疫情基礎再生數的影響:機率傳播模式研究 | zh_TW |
| dc.title | Impact of Pre-Exposure Prophylaxis on Basic Reproductive Number of HIV among Men Who Have Sex with Men in Taiwan: A Stochastic Modeling Study | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 106-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 林先和;林錫勳 | zh_TW |
| dc.contributor.oralexamcommittee | ;; | en |
| dc.subject.keyword | 人類免疫不全病毒,HIV暴露前預防投藥,HIV疫情,男男間性行為,臺灣,基礎再生數,機率傳播模式, | zh_TW |
| dc.subject.keyword | HIV,Pre-Exposure Prophylaxis,epidemic,Men Who Have Sex with Men (MSM),Taiwan,Basic Reproductive Number,Stochastic Modeling, | en |
| dc.relation.page | 110 | - |
| dc.identifier.doi | 10.6342/NTU201802904 | - |
| dc.rights.note | 未授權 | - |
| dc.date.accepted | 2018-08-10 | - |
| dc.contributor.author-college | 公共衛生學院 | - |
| dc.contributor.author-dept | 流行病學與預防醫學研究所 | - |
| 顯示於系所單位: | 流行病學與預防醫學研究所 | |
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