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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 陳秀熙 | zh_TW |
| dc.contributor.advisor | Tony Hsiu-Hsi Chen | en |
| dc.contributor.author | 林冠蓁 | zh_TW |
| dc.contributor.author | Guan-Chen Lin | en |
| dc.date.accessioned | 2025-02-24T16:13:11Z | - |
| dc.date.available | 2025-02-25 | - |
| dc.date.copyright | 2025-02-24 | - |
| dc.date.issued | 2025 | - |
| dc.date.submitted | 2025-02-12 | - |
| dc.identifier.citation | 參考文獻 (References)
1. 衛生福利部, 公告修正「傳染病分類及第四類與第五類傳染病之防治措施」如附件,並自即日生效。, in 衛授疫字第1090199931號令. 2020-01-15. 2. WHO, Methods for estimating the excess mortality associated with the COVID-19 pandemic. 2022. p. 30. 3. Wang, D.H., Estimating excess mortality due to the COVID-19 pandemic: a systematic analysis of COVID-19-related mortality, 2020–21. Lancet, 2022. 399: p. 1513-36. 4. Knutson, V., et al., Estimating global and country-specific excess mortality during the Covid-19 pandemic. The Annals of Applied Statistics, 2023. 17(2): p. 1353-1374, 22. 5. Noorden, R.V., Major Study Errs on COVID Deaths-Researchers with the World Health Organization acknowledge mistakes in high-profile mortality estimates. Nature, 9 June 2022. 606: p. 3. 6. 衛生福利部. 110年國人死因統計結果. 2022 2022-07-19; Available from: https://dep.mohw.gov.tw/DOS/lp-5069-113-xCat-y110.html. 7. 衛生福利部, 111年國人死亡統計結果, 統計處, Editor. 2023, 衛生福利部: 臺北市南港區. 8. 衛生福利部, 109年國人死因統計結果分析, 統計處, Editor. 2021, 衛生福利部. p. 34. 9. Liu, J., et al., Excess mortality in Wuhan city and other parts of China during the three months of the covid-19 outbreak: findings from nationwide mortality registries. BMJ, 2021. 372: p. n415. 10. Riou, J., et al., Direct and indirect effects of the COVID-19 pandemic on mortality in Switzerland. Nature Communications, 2023. 14(1): p. 90. 11. 李政益, 郭宏偉, and 許建邦, COVID-19疫苗接種後對國際疫情趨勢影響之評析. 疫情報導, 2021. 37(11): p. 153-174. 12. Lee, W.-E., et al., Direct and indirect mortality impacts of the COVID-19 pandemic in the United States, March 1, 2020 to January 1, 2022. eLife, 2023. 12: p. e77562. 13. Park, J., et al., Daily changes in spatial accessibility to ICU beds and their relationship with the case-fatality ratio of COVID-19 in the state of Texas, USA. Applied Geography, 2023. 154: p. 102929. 14. Starcher1, R.W., et al., Rural and Urban Intensive Care Unit Resource Availability and Mortality During the COVID-19 Pandemic in Minnesota. Am J Respir Crit Care Med, 2023. 207:A4913. 15. Paglino, E., et al., Differences Between Reported COVID-19 Deaths and Estimated Excess Deaths in Counties Across the United States, March 2020 to February 2022. medRxiv, 2023: p. 2023.01.16.23284633. 16. Paglino, E., et al., Monthly excess mortality across counties in the United States during the COVID-19 pandemic, March 2020 to February 2022. Science Advances, 2023. 9(25): p. eadf9742. 17. Lewnard, J.A., et al., Attributed causes of excess mortality during the COVID-19 pandemic in a south Indian city. Nature Communications, 2023. 14(1): p. 3563. 18. Wang, L., et al., Differential Patterns by Area-Level Social Determinants of Health in Coronavirus Disease 2019 (COVID-19)–Related Mortality and Non–COVID-19 Mortality: A Population-Based Study of 11.8 Million People in Ontario, Canada. Clinical Infectious Diseases, 2022. 76(6): p. 1110-1120. 19. Han, L., et al., Excess cardiovascular mortality across multiple COVID-19 waves in the United States from March 2020 to March 2022. Nature Cardiovascular Research, 2023. 2(3): p. 322-333. 20. Xie, Y., et al., Long-term cardiovascular outcomes of COVID-19. Nature Medicine, 2022. 28(3): p. 583-590. 21. Ioannis Katsoularis*, O.F.-R., Paddy Farrington, Krister Lindmark, Anne-Marie Fors Connolly, Risk of acute myocardial infarction and ischaemic stroke following COVID-19 in Sweden: a self-controlled case series and matched cohort study. Lancet, 2021-8-14. 398: p. 599-607. 22. Daniel Modin, B.C., Caroline Sindet-Pedersen, Mats Christian Højbjerg Lassen, Kristoffer Grundtvig Skaarup, Jens Ulrik Stæhr Jensen, Michael Fralick, Morten Schou, Morten Lamberts, Thomas Gerds, Emil Loldrup Fosbøl, Matthew Phelps, Kristian Hay Kragholm, Mikkel Porsborg Andersen, Lars Køber, Christian Torp-Pedersen, Scott D. Solomon, Gunnar Gislason and Tor Biering-Sørensen, Acute COVID-19 and the incidence of ischemic stroke and acute myocardial infarction. Circulation, 2022-10-15. 142: p. 2080-2082. 23. Adnan I. Qureshi, W.I.B., Wei Huang, Daniel Shyu, Danny Myers, Murugesan Raju, Iryna Lobanova, M. Fareed K. Suri, S. Hasan Naqvi, Brandi R. French, Farhan Siddiq, Camilo R. Gomez and Chi-Ren Shyu, Acute Ischemic Stroke and COVID-19 - An Analysis of 27 676 Patients. Stroke, 2021-2-4. 52(3): p. 905-912. 24. Farshidfar, F., N. Koleini, and H. Ardehali, Cardiovascular complications of COVID-19. JCI Insight, 2021. 6(13). 25. Banerjee, A., et al., Excess deaths in people with cardiovascular diseases during the COVID-19 pandemic. European Journal of Preventive Cardiology, 2021. 28(14): p. 1599-1609. 26. Adair, T., Premature cardiovascular disease mortality with overweight and obesity as a risk factor: estimating excess mortality in the United States during the COVID-19 pandemic. International Journal of Obesity, 2023. 47(4): p. 273-279. 27. Anderson da Costa Armstrong, L.G.S., Thiago Cavalcanti Leal, João Paulo Silva de Paiva, Leonardo Feitosa da Silva, Gibson Barros de Almeida Santana, Carlos Alberto de Oliveira Rocha, Thiala Alves Feitosa, Sara Larissa de Melo Araújo, Márcio Bezerra-Santos, Carlos Dornels Freire de Souza, Rodrigo Feliciano do Carmo, In-Hospital Mortality from Cardiovascular Diseases in Brazil during the First Year of The COVID-19 Pandemic. Arquivos Brasileiros de Cardiologia, 2021-10-27. 119(1): p. 37-45. 28. Janus, S.E., et al., Examining Disparities and Excess Cardiovascular Mortality Before and During the COVID-19 Pandemic. Mayo Clinic Proceedings, 2022. 97(12): p. 2206-2214. 29. Sudre, C.H., et al., Attributes and predictors of long COVID. Nature Medicine, 2021. 27(4): p. 626-631. 30. Abbasi, J., The COVID Heart—One Year After SARS-CoV-2 Infection, Patients Have an Array of Increased Cardiovascular Risks. JAMA, 2022. 327(12): p. 1113-1114. 31. DeVries, A., et al., One-Year Adverse Outcomes Among US Adults With Post–COVID-19 Condition vs Those Without COVID-19 in a Large Commercial Insurance Database. JAMA Health Forum, 2023. 4(3): p. e230010-e230010. 32. 內政部, 111年國人平均壽命79.84歲, in 內政部全球資網. 2023, 內政部. 33. Tsampasian, V., et al., Risk Factors Associated With Post−COVID-19 Condition: A Systematic Review and Meta-analysis. JAMA Internal Medicine, 2023. 183(6): p. 566-580. 34. Yeh, Y.-P., et al., New insights into three trajectories of omicron-related all-cause death reduced by COVID-19 booster vaccination. Journal of Infection and Public Health, 2024. 17(5): p. 735-740. 35. 衛生福利部疾病管制署, 嚴重特殊傳染性肺炎通報及研判流程圖. 2023-05-29. p. 2. 36. 衛生福利部疾病管制署, 嚴重特殊傳染性肺炎. 2023-05-01. 37. 衛生福利部, 為應「嚴重特殊傳染性肺炎」疫情需要,對於配合檢疫與防治採行措施之居家隔離或居家檢疫者,其就醫得暫依說明段辦理,請查照轉知所轄醫療機構,請查照。, in 衛部醫字第1091660661號函, 醫事司, Editor. 2020-2-10. p. 1. 38. 衛生福利部, 為應「嚴重特殊傳染性肺炎」疫情需要,本部109年2月10日衛部醫字1091660661號函(諒達),對於配合檢疫與防治採行措施之居家隔離或居家檢疫者之就醫方式,得依通訊診療辦法規定辦理一節,補充如明段,請查照。, in 衛部醫字第1091661115號函. 2020. 39. 嚴重特殊傳染性肺炎中央流行疫情指揮中心, 因應中央流行疫情指揮中心於 5 月 15 日提升雙北市 COVID-19 疫情警戒標準至第三級,請轉知轄區長照機構住民暫停不必要之請假外出,請查照。. 2021-5-15. 40. 中央流行疫情指揮中心, 因應本土疫情持續嚴峻,指揮中心自即日起至5月28日止提升全國疫情警戒至第三級,各地同步加嚴、加大防疫限制,嚴守社區防線. 2021-5-19: 臺北市. 41. 衛生福利部, 為配合中央疫情指揮中心指示「醫療營運降載及廣泛運用遠距醫療於門診病人」,自110年5月15日起至5月28日止,全國醫療機構經各縣市衛生局指定後,得免提報通訊診療治療實施計畫,以通訊方式診察治療門診病人,請查照。, in 衛部醫字第1101663441號函. 2021-5-17. 42. 衛生福利部, 本部110年5月17日衛部醫字第1101663441號函(如附件),有關全國醫療機構,經各縣市衛生局指定後,得免提報通訊診療治療實施計畫,以通訊方式診察治療門診病人之期間,自即日起延長至中央流行疫情指揮中心公告全國三級警戒降級或解除為止,請查照。, in 衛部醫字第1101663760號函. 2021-5-28. 43. 中央流行疫情指揮中心. COVID-19 確診個案分流收治與居家照護之醫療協助措施. 2021 2023-01-11; Available from: https://www.cdc.gov.tw/Category/MPage/fI6Xxp5Dg3N_CgB1GIWZGw. 44. 臺北市政府衛生局統計室, 111年度臺北市死因統計年報. 2023. 45. 基隆市衛生局會計室, 統計應用分析報告 108~111年基隆市主要死因概況之性別統計分析. 2023. 46. 基隆市政府主計處, 基隆市死因概況. 2023. p. 8. 47. 衛生福利部, 公告「112年度醫院評鑑合格名單(第1次公告)」, 醫事司, Editor. 2024-02-07. 48. 衛生福利部, 衛福部推「年輕的心,有我傾聽」 「年輕族群心理健康支持方案」8月1日上路!, 心理健康司, Editor. 2023-07-31. p. 13. 49. Palacio-Mejía, L.S., et al., Leading causes of excess mortality in Mexico during the COVID-19 pandemic 2020–2021: A death certificates study in a middle-income country. The Lancet Regional Health – Americas, 2022. 13. 50. Yuyang Lei, J.Z., Cara R. Schiavon, Ming He, Lili Chen, Hui Shen, Yichi Zhang, Qian Yin, Yoshitake Cho, Leonardo Andrade, Gerald S. Shadel, Mark Hepokoski, Ting Lei, Hongliang Wang, Jin Zhang, Jason X.-J. Yuan, Atul Malhotra, Uri Manor, Shengpeng Wang, Zu-Yi Yuan and John Y-J. Shyy, SARS-CoV-2 spike protein impairs endothelial function via downregulation of ACE2. Circulation Research, 2021. 128: p. 1323-1326. 51. de Lusignan, S., et al., Disparities in the excess risk of mortality in the first wave of COVID-19: Cross sectional study of the English sentinel network. Journal of Infection, 2020. 81(5): p. 785-792. 52. Rangachev, A., G.K. Marinov, and M. Mladenov, The demographic and geographic impact of the COVID pandemic in Bulgaria and Eastern Europe in 2020. Scientific Reports, 2022. 12(1): p. 6333. 53. 行政院主計總處, 家庭收支調查-各縣市別平均每戶可支配所得. 2023-10-03, 政府資料開放平臺: 臺北市. 54. 臺北市政府衛生局, 衛生統計年報, 統計室, Editor. 2023, 臺北市政府衛生局: 臺北市. 55. 內政部, 簡易生命表及平均餘命查詢. 2023. | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/96843 | - |
| dc.description.abstract | 背景:
2019 年 12 月於中國武漢爆發多起類似嚴重急性呼吸道綜合症的非典型肺炎,經鑑定為一種新型冠狀病毒,故稱新型冠狀病毒或 COVID-19 病毒,該病症即為新型冠狀肺炎。由於國際間交通快速便捷,該病毒迅速傳播至世界各地,我國於 2020 年 1 月 15 日將其公告新增為第五類法定傳染病,凡符合通報定義的疑似個案,必須在 24 小時內通報[1]。世界衛生組織 (World Health Organization; WHO) 亦於 2020 年 1 月 30 日公布此非典型肺炎為公共衛生緊急事件 (Public Health Emergency of International Concern; PHEIC)。 材料與方法: 根據內政部公布全國及各縣市死亡人數及疾病管制署縣市別及年齡別人口數、COVID-19 死亡個案數,以 2019 年死亡率為基準,透過線性外推法計算臺灣某大都會區A市及其週邊某非都會區B市 2020 〜 2023 年主要死因超額死亡率及性別死亡風險比、A 市各年齡層主要死因性別死亡風險比及 B 市各年齡層 COVID-19 死亡率、累積 COVID-19 死亡率。 結果: 受各項非藥物介入 (Non-pharmaceutical interventions; NPI) 措施及 COVID-19 疫情影響,2020 年A市及 B 市全死因死亡率較 2019 年下降,2021 及 2022 年上升,2023年疫情趨緩才下降,尤其2022年死亡人數年增率較前一年增加1.5倍、B市增加2.5倍,其中A市死亡人數年增率及每 10 萬人口死亡率增幅均創歷年新高, COVID-19 死亡增幅約 3.8 倍最大。A市心臟疾病、糖尿病、高血壓性疾病、血管性及未明示之失智症連續 4 年超額死亡,肺炎則連續 4 年負超額死亡,高血壓性疾病超額死亡率遠高於B市;B市糖尿病、慢性下呼吸道疾病、血管性及未明示之失智症連續 4 年超額死亡,且糖尿病、血管性及未明示之失智症相對超額死亡率高於A市。A市與B市慢性下呼吸道疾病男性比上女性性別死亡風險最高。 結論: 本研究探討大都會區及非都會區在COVID-19流行期間超額死亡以及死因別超額死亡貢獻,其中COVID-19 是臺灣 2022 年主要死因之一,然而得益於 NPI 措施,A 市肺炎呈負超額死亡,A 市心臟疾病、糖尿病、高血壓性疾病於 2020 〜 2023 年均呈超額死亡;COVID-19 及慢性疾病的死亡風險,男性較女性高,25 歲以後,隨年齡增長風險亦隨之增加。B 市全死因死亡率、 COVID-19累積死亡率均高於 A 市。A市與B市平均餘命在2022年首度下降。整體顯示大都會區與非都會區造成超額死亡型態類似,但影響程度不同,受疫情期間NPI程度所影響之醫療照護量能緊縮程度而不同,藉此經驗可作為未來對於NPI執行參考實證依據以降低超額死亡之衝擊。 | zh_TW |
| dc.description.abstract | Background:
In December 2019, multiple cases of atypical pneumonia resembling severe acute respiratory syndrome emerged in Wuhan, China. This illness was identified as being caused by a novel coronavirus, later named SARS-CoV-2. Due to rapid global transportation, the virus quickly spread worldwide. On January 15, 2020, Taiwan classified SARS-CoV-2 as a Category V notifiable infectious disease, requiring suspected cases that met the reporting criteria to be reported within 24 hours. On January 30, 2020, the World Health Organization (WHO) declared this atypical pneumonia a Public Health Emergency of International Concern (PHEIC). Materials and Methods This study utilized nationwide and regional mortality data from the Ministry of the Interior and population data by age and region from the Taiwan Centers for Disease Control. Based on the 2019 mortality rate as a baseline, we applied linear extrapolation to estimate the excess mortality rate of major causes of death and the gender-specific mortality risk ratio from 2020 to 2023. Additionally, we analyzed the gender-specific mortality risk ratio for major causes of death across different age groups, as well as the age-specific and cumulative COVID-19 mortality rates. Results: Due to the impact of SARS-CoV-2 and the implementation of non-pharmaceutical interventions (NPIs), the all-cause mortality rate in both City A and City B decreased in 2020 compared to 2019, rose in 2021 and 2022, and declined again in 2023 as the pandemic subsided. Notably, in 2022, the annual increase in deaths was 1.5 times higher than in the previous year for City A and 2.5 times higher for City B. City A recorded its highest-ever annual increase in both total deaths and mortality rate per 100,000 people, with COVID-19 deaths increasing by approximately 3.8 times. In City A, heart disease, diabetes, hypertensive diseases, and vascular and unspecified dementia showed excess mortality for four consecutive years, while pneumonia exhibited negative excess mortality. The excess mortality rate for hypertensive diseases in City A was significantly higher than in City B. In contrast, City B experienced excess mortality for diabetes, chronic lower respiratory diseases, and vascular and unspecified dementia over four consecutive years, with diabetes and dementia having relatively higher excess mortality rates than in City A. In both cities, the gender-specific mortality risk for chronic lower respiratory diseases was highest for males compared to females. Conclusions: This study examined excess mortality and the contribution of specific causes of death in metropolitan and non-metropolitan areas during the SARS-CoV-2 pandemic. COVID-19 was one of Taiwan’s leading causes of death in 2022. However, due to the implementation of NPIs, pneumonia in City A exhibited negative excess mortality, while heart disease, diabetes, and hypertensive diseases in City A showed excess mortality from 2020 to 2023. The mortality risk of COVID-19 and chronic diseases was higher in males than in females, with risk increasing with age beyond 25 years. Both all-cause mortality and cumulative COVID-19 mortality rates were higher in City B than in City A. Additionally, the life expectancy of both cities declined for the first time in 2022. Overall, while metropolitan and non-metropolitan areas displayed similar excess mortality patterns, the degree of impact varied, likely influenced by differences in healthcare capacity constraints during the pandemic. These findings provide empirical evidence for future implementation of NPIs. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2025-02-24T16:13:11Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2025-02-24T16:13:11Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 國立臺灣大學碩(博)士學位論文口試委員會審定書 i
序言 ii 中文摘要 iii 英文摘要 v 圖次 ix 表次 xi 第一章 導論 (Chapter 1. Introduction) 1 第一節 實習單位特色與簡介 (Practicum Unit Features and Brief Introduction) 1 第二節 研究假設 / Hypotheses 3 第三節 文獻回顧 /Literature Review 4 第四節 研究目的與研究問題 /Research Purpose and Research Problems 10 第二章 方法 (Chapter 2 Methods) 13 第三章 結果 (Chapter 3 Results) 15 第四章 討論 (Chapter 4 Discussion) 58 參考文獻 (References) 68 | - |
| dc.language.iso | zh_TW | - |
| dc.subject | 大都會區與非都會區 | zh_TW |
| dc.subject | 醫療量能 | zh_TW |
| dc.subject | 非藥物介入措施 | zh_TW |
| dc.subject | 超額死亡 | zh_TW |
| dc.subject | 新冠肺炎 | zh_TW |
| dc.subject | Medical Capacity | en |
| dc.subject | COVID-19 | en |
| dc.subject | Excess Mortality | en |
| dc.subject | Non-pharmacological Interventions | en |
| dc.subject | Metropolitan and Non- metropolitan | en |
| dc.title | COVID-19 疫情期間都會區與其週邊非都會區超額死亡模式剖析 | zh_TW |
| dc.title | Analysis of Excess Death Patterns in Metropolitan Areas and Surrounding non-Metropolitan Areas During the COVID-19 Epidemic | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 113-1 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 許辰陽;楊慧玉 | zh_TW |
| dc.contributor.oralexamcommittee | Chen-Yang Hsu;Hui-Yu Yang | en |
| dc.subject.keyword | 新冠肺炎,超額死亡,非藥物介入措施,大都會區與非都會區,醫療量能, | zh_TW |
| dc.subject.keyword | COVID-19,Excess Mortality,Non-pharmacological Interventions,Metropolitan and Non- metropolitan,Medical Capacity, | en |
| dc.relation.page | 71 | - |
| dc.identifier.doi | 10.6342/NTU202500604 | - |
| dc.rights.note | 同意授權(全球公開) | - |
| dc.date.accepted | 2025-02-12 | - |
| dc.contributor.author-college | 公共衛生學院 | - |
| dc.contributor.author-dept | 公共衛生碩士學位學程 | - |
| dc.date.embargo-lift | 2025-02-25 | - |
| 顯示於系所單位: | 公共衛生碩士學位學程 | |
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| ntu-113-1.pdf | 2.85 MB | Adobe PDF | 檢視/開啟 |
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