簡易檢索 / 詳目顯示

研究生: 曾佩苓
Tseng, Pei-Ling
論文名稱: 臺灣高屏地區登革病毒感染與嚴重特殊傳染性肺炎嚴重程度之間的關聯性:一項回顧性資料庫分析
The Association Between Dengue Virus Infection and COVID-19 Severity: A Retrospective Database Analysis in Southern Taiwan
指導教授: 簡玉雯
Chien, Yu-Wen
學位類別: 碩士
Master
系所名稱: 醫學院 - 公共衛生學系
Department of Public Health
論文出版年: 2026
畢業學年度: 114
語文別: 中文
論文頁數: 84
中文關鍵詞: 登革熱 、COVID-19 、COVID-19重症 、世代配對研究 、臺灣
外文關鍵詞: dengue fever, COVID-19, severe COVID-19, matched cohort study, Taiwan
相關次數: 點閱:126  下載:4 
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 研究背景:登革熱為全球重要的蚊媒傳染病,對多個國家造成嚴峻疫情。我國監測系統顯示近10年的登革熱病例數及流行疫情規模有擴增趨勢,而近年來嚴重特殊傳染性肺炎(COVID-19)大流行更增加了公共衛生挑戰。先前的研究指出,新型冠狀病毒(SARS-CoV-2)和登革病毒(DENV)之間的相互作用,可能降低COVID-19感染風險或影響COVID-19嚴重程度。然而,登革病毒感染是否是影響COVID-19患者病程的風險因素,目前仍無一致結論。
    研究目的:鑒於南臺灣具備登革熱流行背景且曾經歷COVID-19的雙重流行,本研究旨在透過大規模實證數據,探討 COVID-19 確診前登革熱確定病例紀錄與 COVID-19 患者後續發展為重症及死亡風險之關聯。
    研究方法:本研究使用衛生福利部疾病管制署傳染病通報系統資料庫,進行回溯性配對世代研究。研究對象為 2020 年 1 月 20 日至 2023 年 3 月 19 日期間,法定居住地為高雄市、屏東縣及澎湖縣之首次 COVID-19 確定病例。本研究以 COVID-19 確診前是否具有登革熱確定病例紀錄為主要暴露變項,並依性別、年齡組、居住縣市及 COVID-19 確診時間區間進行最多 1:4 精確配對,選取無登革熱確定病例紀錄者作為對照組。主要研究結局為 COVID-19 重症,次要研究結局為以 COVID-19 確診日期為起點之 30 天內全因死亡。統計分析採用條件式邏輯斯迴歸模型,評估登革熱確定病例紀錄與 COVID-19 重症及 30 天內全因死亡風險之關聯,並進一步校正慢性病或 COVID-19 重症高風險因子及疫苗接種劑次。此外,本研究亦透過慢性病資訊處理方式、排除登革熱高流行區及延長死亡追蹤期間等敏感度分析,評估研究結果之穩健性。
    研究結果:配對後共納入 81,803 名 COVID-19 確定病例,其中 16,361 名具有 COVID-19 確診前登革熱確定病例紀錄,65,442 名無登革熱確定病例紀錄。配對後,有登革熱確定病例紀錄組與無登革熱確定病例紀錄組之 COVID-19 重症比例分別為 0.54% 與 0.65%;30 天內全因死亡比例分別為 0.28% 與 0.38%。條件式邏輯斯迴歸分析顯示,在校正慢性病或 COVID-19 重症高風險因子及疫苗接種劑次後,COVID-19 確診前登革熱確定病例紀錄與 COVID-19 重症風險未達統計顯著關聯(aOR = 0.82,95% CI = 0.62–1.08,p = 0.155)。次要結局分析亦顯示,COVID-19 確診前登革熱確定病例紀錄與 COVID-19 確診後 30 天內全因死亡未達統計顯著關聯(aOR = 0.75,95% CI = 0.53–1.07,p = 0.113)。敏感度分析結果與主分析方向一致,均未觀察到統計顯著關聯。
    結論:整體而言,本研究未觀察到 COVID-19 確診前登革熱確定病例紀錄與 COVID-19 重症或 30 天內全因死亡之間具有統計顯著關聯,亦未支持其會增加 COVID-19 嚴重結果風險。此結果顯示,在本研究南臺灣 COVID-19 確定病例中,通報系統可辨識之登革熱確定病例紀錄,不宜作為單獨判定 COVID-19 重症風險之依據。臨床與公共衛生風險評估仍應優先考量年齡、慢性病或重症高風險狀態、COVID-19 疫苗接種狀態及其他已知重要風險因子。

    Dengue fever and coronavirus disease 2019 (COVID-19) have both posed substantial public health challenges. Previous studies have suggested possible immunological interactions between dengue virus and severe acute respiratory syndrome coronavirus 2, but whether prior dengue infection affects COVID-19 severity remains inconclusive. This retrospective matched cohort study used data from Taiwan’s infectious disease surveillance systems to examine the association between prior confirmed dengue case records and severe COVID-19 among individuals first diagnosed with COVID-19 between January 20, 2020, and March 19, 2023, in Kaohsiung City, Pingtung County, and Penghu County. Individuals with prior dengue records were exactly matched with those without such records at a maximum ratio of 1:4 by sex, age group, residence city or county, and COVID-19 diagnosis time interval. Conditional logistic regression was used to estimate adjusted odds ratios. After matching, 81,803 COVID-19 cases were included. Prior confirmed dengue case records were not statistically significantly associated with severe COVID-19 or 30-day all-cause mortality after adjustment for chronic disease/high-risk conditions and vaccination doses. These findings suggest that prior confirmed dengue case records alone may not serve as an independent indicator for severe COVID-19 risk in southern Taiwan.

    摘要 I Extended abstract III 致謝 VI 表目錄 IX 圖目錄 X 第一章 緒論 1 第一節 研究背景 1 第二節 研究目的 2 第二章 文獻探討 3 第一節 登革熱之疾病特色與臺灣流行病學 3 第二節 COVID-19 在臺灣的狀況與流行病學 7 第三節 登革熱暴露與 COVID-19 相關研究 14 第三章 研究方法 20 第一節 研究設計與資料來源 20 第二節 研究對象與收案流程 23 第三節 變項定義與臨床判定標準 25 第四節 統計分析 29 第五節 研究倫理 31 第四章 研究結果 32 第一節 基本資料分析 32 第二節 配對前後研究對象基本特徵與平衡性 34 第三節 有無登革熱確定病例紀錄與 COVID-19 重症之關聯 35 第四節 敏感度分析 35 第五節 時間分層分析 36 第六節 次要結局:死亡 37 第五章 討論 39 第一節 主要研究發現 39 第二節 與既有研究結果之比較 40 第三節 臺灣流行病學、防疫與醫療照護脈絡之可能解釋 41 第四節 研究優勢 43 第五節 研究限制 44 第六節 公共衛生意義與後續研究建議 46 參考文獻 49 結果表 57 Table 4-1 配對前後研究對象基本特徵與結局分布 57 Table 4-2 COVID-19 重症之條件式邏輯斯迴歸模型 60 Table 4-3 慢性病或 COVID-19 重症高風險因子之敏感度分析 61 Table 4-4 排除登革熱高流行區後之條件式邏輯斯迴歸敏感度分析 62 Table 4-5 次要結局死亡之描述性分布與條件式邏輯斯迴歸結果 63 附錄 64 附錄一 補充圖表 64 Figure S1 全國COVID-19病例趨勢圖 64 Table S1 配對前後研究對象之慢性病或重症高風險因子細項情形 65 Table S2 配對後依登革熱組別分層之慢性病細項登錄情形 67 Table S3 配對後有慢性病或COVID-19重症高風險因子者之疾病細項分布 69 Table S4 依 COVID-19 重症狀態分組之特徵比較 70 附錄二 倫理審查證明 71

    內政部統計處. (2013). 登革熱病例於統計區分類系統之熱源分析.
    王怡雅, 陳俊銘, 許家瑜, 張秀芳, 劉慧蓉, & 楊靖慧. (2024). 臺灣COVID-19居家檢疫措施與成效. 疫情報導, 40(4), 58–68. https://doi.org/10.6524/EB.202402_40(4).0002
    林千玉, 林宇淨, 茆家靜, 林福田, 陳主慈, 劉慧蓉, & 楊靖慧. (2024). 臺灣嚴重特殊傳染性肺炎(COVID-19)非藥物介入措施與成效. 疫情報導, 40(18), 276–289. https://doi.org/10.6524/EB.202409_40(18).0001
    林宜瑩, 林巧雯, 王仁德, 賴俊麟, 謝瑞煒, & 劉碧隆. (2019). 登革熱大規模疫情防治因應對策與方法:以2015年臺南市為例. 疫情報導, 35(12), 152–158. https://doi.org/10.6524/EB.201906_35(12).0001
    林怜伶, 陳主慈, 周玉民, & 楊靖慧. (2019). 2013–2017年臺灣公費提供登革熱NS1抗原快速診斷試劑政策對通報時效之影響. 疫情報導, 35(16), 230–236. https://doi.org/10.6524/EB.201908_35(16).0001
    陳楚顥, 錢信帆, 洪敏南, 林靜麗, 林慧真, & 林明誠. (2026). 2022年9–11月高雄市本土登革熱群聚防治. 疫情報導, 42(11), 103–107. https://doi.org/10.6524/EB.202606_42(11).0001
    彭若瑄, 闕于能, 王欽賢, 王仁德, 陳紫君, & 李翠鳳. (2023). 2019年臺南市本土登革熱疫情回顧與防治作為. 疫情報導, 39(13), 193–197. https://doi.org/10.6524/EB.202307_39(13).0002
    曾靖媛, 陳孟妤, 許椀琳, 陳美蓉, 吳智文, & 巫坤彬. (2023). 2014 - 2018年桃園國際機場發燒篩檢站境外移入登革熱病例之流行病學分析. 疫情報導, 39(16), 238–244. https://doi.org/10.6524/EB.202308_39(16).0001
    衛生福利部疾病管制署. (2024). COVID-19後疫情時代防疫政策白皮書. Retrieved from https://www.cdc.gov.tw/File/Get/fW-XX9zFwHGujwLPvoJhLw
    衛生福利部疾病管制署. (2026). 登革熱/屈公病防治工作指引. https://www.cdc.gov.tw/File/Get/uHAFaJa-YiWWFcR3ebHxjg
    鄭皓元, 陳秋美, 闕于能, 劉宇倫, 簡淑婉, 許建邦, 李佳琳, & 郭宏偉. (2022). 2022年新型冠狀病毒疫情流行病學簡要分析. 疫情報導, 38(24), 366–371. https://doi.org/10.6524/EB.202212_38(24).0002
    蘇秋霞, 羅一鈞, 石崇良, 李伯璋, 王必勝, & 薛瑞元. (2020). 臺灣COVID-19醫療照護體系整備與應變措施. 疫情報導, 36(16), 250–257. https://doi.org/10.6524/EB.202008_36(16).0001
    Berlin, D. A., Gulick, R. M., & Martinez, F. J. (2020). Severe Covid-19. N Engl J Med, 383(25), 2451–2460. https://doi.org/10.1056/NEJMcp2009575
    Biswas, S., Sukla, S., & Biswas, S. (2020). COVID-19 Virus Infection and Transmission are Observably Less in Highly Dengue-Endemic Countries: Is Pre-Exposure to Dengue Virus Protective Against COVID-19 Severity and Mortality? Will the Reverse Scenario Be True? Clinical and Experimental Investigations, 1–5. https://doi.org/10.31487/j.CEI.2020.02.05
    Booth, A., Reed, A. B., Ponzo, S., Yassaee, A., Aral, M., Plans, D., Labrique, A., & Mohan, D. (2021). Population risk factors for severe disease and mortality in COVID-19: A global systematic review and meta-analysis. PLoS One, 16(3), e0247461. https://doi.org/10.1371/journal.pone.0247461
    Cevik, M., & Mishra, S. (2021). SARS-CoV-2 variants and considerations of inferring causality on disease severity. Lancet Infect Dis, 21(11), 1472–1474. https://doi.org/10.1016/S1473-3099(21)00338-8
    Chan, K. R., Ong, E. Z., Tan, H. C., Zhang, S. L., Zhang, Q., Tang, K. F., Kaliaperumal, N., Lim, A. P., Hibberd, M. L., Chan, S. H., Connolly, J. E., Krishnan, M. N., Lok, S. M., Hanson, B. J., Lin, C. N., & Ooi, E. E. (2014). Leukocyte immunoglobulin-like receptor B1 is critical for antibody-dependent dengue. Proc Natl Acad Sci U S A, 111(7), 2722–2727. https://doi.org/10.1073/pnas.1317454111
    Chang, Y. H., Burton, W., Nguyen, P. A., Khang, D. D., Chen, C. I., Huang, C. C., Lam, C. S., Lin, W. K., Wang, F. D., Phuc, P. T., Lu, C. Y., Lee, H. L., Hsu, M. H., Huang, C. W., Yang, H. C., Lin, S. M., Yang, C., & Hsu, J. C. (2025). Health risk assessment for severe COVID-19 in Taiwan: a multi-centre electronic health record study. J Glob Health, 15, 04236. https://doi.org/10.7189/jogh.15.04236
    Chen, W. J. (2018). Dengue outbreaks and the geographic distribution of dengue vectors in Taiwan: A 20-year epidemiological analysis. Biomed J, 41(5), 283–289. https://doi.org/10.1016/j.bj.2018.06.002
    Chen, Y. H., & Fang, C. T. (2024). Achieving COVID-19 zero without lockdown, January 2020 to March 2022: The Taiwan model explained. J Formos Med Assoc, 123 Suppl 1, S8–S16. https://doi.org/10.1016/j.jfma.2023.09.001
    Cheng, H. Y., & Liu, D. P. (2024). Early Prompt Response to COVID-19 in Taiwan: Comprehensive surveillance, decisive border control, and information technology support. J Formos Med Assoc, 123 Suppl 1, S2–S7. https://doi.org/10.1016/j.jfma.2022.11.002
    Cheng, Y. L., Chao, C. H., Lai, Y. C., Hsieh, K. H., Wang, J. R., Wan, S. W., Huang, H. J., Chuang, Y. C., Chuang, W. J., & Yeh, T. M. (2022). Antibodies against the SARS-CoV-2 S1-RBD cross-react with dengue virus and hinder dengue pathogenesis. Front Immunol, 13, 941923. https://doi.org/10.3389/fimmu.2022.941923
    Chien, Y. W., Chuang, H. N., Wang, Y. P., Perng, G. C., Chi, C. Y., & Shih, H. I. (2022). Short-term, medium-term, and long-term risks of nonvariceal upper gastrointestinal bleeding after dengue virus infection. PLoS Negl Trop Dis, 16(1), e0010039. https://doi.org/10.1371/journal.pntd.0010039
    Gandhi, R. T., Lynch, J. B., & Del Rio, C. (2020). Mild or Moderate Covid-19. N Engl J Med, 383(18), 1757–1766. https://doi.org/10.1056/NEJMcp2009249
    Guzman, M. G., Halstead, S. B., Artsob, H., Buchy, P., Farrar, J., Gubler, D. J., Hunsperger, E., Kroeger, A., Margolis, H. S., Martinez, E., Nathan, M. B., Pelegrino, J. L., Simmons, C., Yoksan, S., & Peeling, R. W. (2010). Dengue: a continuing global threat. Nat Rev Microbiol, 8(12 Suppl), S7–16. https://doi.org/10.1038/nrmicro2460
    Harrison, S. L., Fazio-Eynullayeva, E., Lane, D. A., Underhill, P., & Lip, G. Y. H. (2020). Comorbidities associated with mortality in 31,461 adults with COVID-19 in the United States: A federated electronic medical record analysis. PLoS Med, 17(9), e1003321. https://doi.org/10.1371/journal.pmed.1003321
    Jang, T. Y., Wang, H. H., Huang, C. F., Dai, C. Y., Huang, J. F., Chuang, W. L., Kuo, C. Y., & Yu, M. L. (2022). Clinical characteristics and treatment outcomes of SARS-CoV-2 delta variant outbreak, Pingtung, Taiwan, June 2021. J Formos Med Assoc, 121(9), 1767–1772. https://doi.org/10.1016/j.jfma.2022.01.008
    Kraemer, M. U., Sinka, M. E., Duda, K. A., Mylne, A. Q., Shearer, F. M., Barker, C. M., Moore, C. G., Carvalho, R. G., Coelho, G. E., Van Bortel, W., Hendrickx, G., Schaffner, F., Elyazar, I. R., Teng, H. J., Brady, O. J., Messina, J. P., Pigott, D. M., Scott, T. W., Smith, D. L.,…Hay, S. I. (2015). The global distribution of the arbovirus vectors Aedes aegypti and Ae. albopictus. Elife, 4, e08347. https://doi.org/10.7554/eLife.08347
    Lai, C. C., Lee, P. I., & Hsueh, P. R. (2023). How Taiwan has responded to COVID-19 and how COVID-19 has affected Taiwan, 2020-2022. J Microbiol Immunol Infect, 56(3), 433–441. https://doi.org/10.1016/j.jmii.2023.04.001
    Liu, L. T., Chiou, S. S., Chen, P. C., Chen, C. H., Lin, P. C., Tsai, C. Y., Chuang, W. L., Hwang, S. J., Chong, I. W., & Tsai, J. J. (2023). Epidemiology and analysis of SARS-CoV-2 Omicron subvariants BA.1 and 2 in Taiwan. Sci Rep, 13(1), 16583. https://doi.org/10.1038/s41598-023-43357-7
    Lustig, Y., Keler, S., Kolodny, R., Ben-Tal, N., Atias-Varon, D., Shlush, E., Gerlic, M., Munitz, A., Doolman, R., Asraf, K., Shlush, L. I., & Vivante, A. (2021). Potential Antigenic Cross-reactivity Between Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) and Dengue Viruses. Clin Infect Dis, 73(7), e2444–e2449. https://doi.org/10.1093/cid/ciaa1207
    Mallick, A., Chhajer, R., & Biswas, S. (2025). Decoding the cross-immune pressure: Dengue's role in SARS-CoV-2 evolution. Comput Struct Biotechnol J, 27, 5575–5589. https://doi.org/10.1016/j.csbj.2025.11.056
    Mallick, A., Sukla, S., De, A., & Biswas, S. (2024). Evidences support that dengue virus can impart broad-spectrum immunity against betacoronaviruses in dengue endemic regions. J Med Virol, 96(6), e29771. https://doi.org/10.1002/jmv.29771
    Mamdani, M., Sykora, K., Li, P., Normand, S. L., Streiner, D. L., Austin, P. C., Rochon, P. A., & Anderson, G. M. (2005). Reader's guide to critical appraisal of cohort studies: 2. Assessing potential for confounding. Bmj, 330(7497), 960–962. https://doi.org/10.1136/bmj.330.7497.960
    Nicolelis, M. A. L., Raimundo, R. L. G., Peixoto, P. S., & de Andreazzi, C. S. (2020). How superspreader cities, highways, hospital bed availability, and dengue fever influenced the COVID-19 epidemic in Brazil. https://doi.org/10.1101/2020.09.19.20197749
    Nicolete, V. C., Rodrigues, P. T., Johansen, I. C., Corder, R. M., Tonini, J., Cardoso, M. A., de Jesus, J. G., Claro, I. M., Faria, N. R., Sabino, E. C., Castro, M. C., & Ferreira, M. U. (2021). Interacting Epidemics in Amazonian Brazil: Prior Dengue Infection Associated With Increased Coronavirus Disease 2019 (COVID-19) Risk in a Population-Based Cohort Study. Clin Infect Dis, 73(11), 2045–2054. https://doi.org/10.1093/cid/ciab410
    Nyberg, T., Ferguson, N. M., Nash, S. G., Webster, H. H., Flaxman, S., Andrews, N., Hinsley, W., Bernal, J. L., Kall, M., Bhatt, S., Blomquist, P., Zaidi, A., Volz, E., Aziz, N. A., Harman, K., Funk, S., Abbott, S., consortium, C.-G. U., Hope, R.,…Thelwall, S. (2022). Comparative analysis of the risks of hospitalisation and death associated with SARS-CoV-2 omicron (B.1.1.529) and delta (B.1.617.2) variants in England: a cohort study. Lancet, 399(10332), 1303–1312. https://doi.org/10.1016/S0140-6736(22)00462-7
    Rothman, A. L. (2011). Immunity to dengue virus: a tale of original antigenic sin and tropical cytokine storms. Nat Rev Immunol, 11(8), 532–543. https://doi.org/10.1038/nri3014
    Santos, T., Versiani, A. F., Campos, G. R. F., Moraes, M. M., Parra, M. C. P., Mistrao, N. F. B., Negri, A. F., Bagno, F. F., Galves, M. G., Moreno, C. M., Da Fonseca, F. G., Estofolete, C. F., Vasilakis, N., & Nogueira, M. L. (2024). Dengue and SARS-CoV-2 co-circulation and overlapping infections in hospitalized patients. Front Cell Infect Microbiol, 14, 1429309. https://doi.org/10.3389/fcimb.2024.1429309
    Silvestre, O. M., Costa, L. R., Lopes, B. V. R., Barbosa, M. R., Botelho, K. K. P., Albuquerque, K. L. C., Souza, A. G. S., Coelho, L. A., de Oliveira, A. J., Barantini, C. B., Neves, S., Nadruz, W., Maguire, J. H., & Fernandes-Silva, M. M. (2021). Previous Dengue Infection and Mortality in Coronavirus Disease 2019 (COVID-19). Clin Infect Dis, 73(5), e1219–e1221. https://doi.org/10.1093/cid/ciaa1895
    Simmons, C. P., Farrar, J. J., Nguyen V, V., & Wills, B. (2012). Dengue. N Engl J Med, 366(15), 1423–1432. https://doi.org/10.1056/NEJMra1110265
    Tang, N., Lim, J. T., Dickens, B., Chiew, C., Ng, L. C., Chia, P. Y., Leo, Y. S., Lye, D. C., Tan, K. B., & Wee, L. E. (2024). Effects of Recent Prior Dengue Infection on Risk and Severity of Subsequent SARS-CoV-2 Infection: A Retrospective Cohort Study. Open Forum Infect Dis, 11(8), ofae397. https://doi.org/10.1093/ofid/ofae397
    Teotonio, I., de Carvalho, J. L., Castro, L. C., Nitz, N., Hagstrom, L., Rios, G. G., de Fatima Rodrigues de Oliveira, M., Dallago, B. S. L., & Hecht, M. (2021). Clinical and biochemical parameters of COVID-19 patients with prior or active dengue fever. Acta Trop, 214, 105782. https://doi.org/10.1016/j.actatropica.2020.105782
    Twohig, K. A., Nyberg, T., Zaidi, A., Thelwall, S., Sinnathamby, M. A., Aliabadi, S., Seaman, S. R., Harris, R. J., Hope, R., Lopez-Bernal, J., Gallagher, E., Charlett, A., De Angelis, D., Presanis, A. M., Dabrera, G., & consortium, C.-G. U. (2022). Hospital admission and emergency care attendance risk for SARS-CoV-2 delta (B.1.617.2) compared with alpha (B.1.1.7) variants of concern: a cohort study. Lancet Infect Dis, 22(1), 35–42. https://doi.org/10.1016/S1473-3099(21)00475-8
    Wang, S. F., Wang, W. H., Chang, K., Chen, Y. H., Tseng, S. P., Yen, C. H., Wu, D. C., & Chen, Y. M. (2016). Severe Dengue Fever Outbreak in Taiwan. Am J Trop Med Hyg, 94(1), 193–197. https://doi.org/10.4269/ajtmh.15-0422
    Wiersinga, W. J., Rhodes, A., Cheng, A. C., Peacock, S. J., & Prescott, H. C. (2020). Pathophysiology, Transmission, Diagnosis, and Treatment of Coronavirus Disease 2019 (COVID-19): A Review. JAMA, 324(8), 782–793. https://doi.org/10.1001/jama.2020.12839
    Wilder-Smith, A., Ooi, E. E., Horstick, O., & Wills, B. (2019). Dengue. Lancet, 393(10169), 350–363. https://doi.org/10.1016/S0140-6736(18)32560-1
    World Health Organization. (2025). Dengue and severe dengue. World Health Organization. https://www.who.int/news-room/fact-sheets/detail/dengue-and-severe-dengue
    World Health Organization. (2026). COVID-19 situation reports. World Health Organization. Retrieved 17 June 2026 from https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports
    Wu, P. Y., Lin, F. H., Hsieh, C. J., Chou, Y. C., & Yu, C. P. (2025). Epidemiology of imported travelers with dengue fever in Taiwan from 2011 to 2020. Medicine (Baltimore), 104(1), e41091. https://doi.org/10.1097/MD.0000000000041091
    Yacoub, S., Wertheim, H., Simmons, C. P., Screaton, G., & Wills, B. (2015). Microvascular and endothelial function for risk prediction in dengue: an observational study. Lancet, 385 Suppl 1, S102. https://doi.org/10.1016/S0140-6736(15)60417-2
    Zhou, G., Dael, N., Verweij, S., Balafas, S., Mubarik, S., Oude Rengerink, K., Pasmooij, A. M. G., van Baarle, D., Mol, P. G. M., de Bock, G. H., & Hak, E. (2025). Effectiveness of COVID-19 vaccines against SARS-CoV-2 infection and severe outcomes in adults: a systematic review and meta-analysis of European studies published up to 22 January 2024. Eur Respir Rev, 34(175). https://doi.org/10.1183/16000617.0222-2024

    下載圖示
    校外:立即公開
    QR CODE