Ebola virus disease mathematical models and epidemiological parameters: a systematic review.

IF 36.4 1区 医学 Q1 INFECTIOUS DISEASES Lancet Infectious Diseases Pub Date : 2024-08-07 DOI:10.1016/S1473-3099(24)00374-8
Rebecca K Nash, Sangeeta Bhatia, Christian Morgenstern, Patrick Doohan, David Jorgensen, Kelly McCain, Ruth McCabe, Dariya Nikitin, Alpha Forna, Gina Cuomo-Dannenburg, Joseph T Hicks, Richard J Sheppard, Tristan Naidoo, Sabine van Elsland, Cyril Geismar, Thomas Rawson, Sequoia Iris Leuba, Jack Wardle, Isobel Routledge, Keith Fraser, Natsuko Imai-Eaton, Anne Cori, H Juliette T Unwin
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Abstract

Ebola virus disease poses a recurring risk to human health. We conducted a systematic review (PROSPERO CRD42023393345) of Ebola virus disease transmission models and parameters published from database inception to July 7, 2023, from PubMed and Web of Science. Two people screened each abstract and full text. Papers were extracted with a bespoke Access database, 10% were double extracted. We extracted 1280 parameters and 295 models from 522 papers. Basic reproduction number estimates were highly variable, as were effective reproduction numbers, likely reflecting spatiotemporal variability in interventions. Random-effect estimates were 15·4 days (95% CI 13·2-17·5) for the serial interval, 8·5 days (7·7-9·2) for the incubation period, 9·3 days (8·5-10·1) for the symptom-onset-to-death delay, and 13·0 days (10·4-15·7) for symptom-onset-to-recovery. Common effect estimates were similar, albeit with narrower CIs. Case-fatality ratio estimates were generally high but highly variable, which could reflect heterogeneity in underlying risk factors. Although a substantial body of literature exists on Ebola virus disease models and epidemiological parameter estimates, many of these studies focus on the west African Ebola epidemic and are primarily associated with Zaire Ebola virus, which leaves a key gap in our knowledge regarding other Ebola virus species and outbreak contexts.

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埃博拉病毒病数学模型和流行病学参数:系统综述。
埃博拉病毒疾病对人类健康构成经常性风险。我们从 PubMed 和 Web of Science 上对从数据库建立到 2023 年 7 月 7 日发表的埃博拉病毒疾病传播模型和参数进行了系统综述(PROSPERO CRD42023393345)。每篇论文的摘要和全文均由两人筛选。使用定制的 Access 数据库提取论文,10% 的论文进行了双重提取。我们从 522 篇论文中提取了 1280 个参数和 295 个模型。基本繁殖数量估计值和有效繁殖数量估计值差异很大,这可能反映了干预措施的时空差异性。随机效应估计值为:序列间隔 15-4 天(95% CI 13-2-17-5),潜伏期 8-5 天(7-7-9-2),症状发作到死亡延迟 9-3 天(8-5-10-1),症状发作到恢复 13-0 天(10-4-15-7)。共同效应估计值相似,但 CI 值较小。病死率估计值普遍较高,但变化很大,这可能反映了潜在风险因素的异质性。尽管已有大量关于埃博拉病毒疾病模型和流行病学参数估计的文献,但其中许多研究都集中在西非埃博拉疫情上,而且主要与扎伊尔埃博拉病毒有关,这使我们对其他埃博拉病毒种类和疫情背景的了解存在重大差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Lancet Infectious Diseases
Lancet Infectious Diseases 医学-传染病学
CiteScore
60.90
自引率
0.70%
发文量
1064
审稿时长
6-12 weeks
期刊介绍: The Lancet Infectious Diseases was launched in August, 2001, and is a lively monthly journal of original research, review, opinion, and news covering international issues relevant to clinical infectious diseases specialists worldwide.The infectious diseases journal aims to be a world-leading publication, featuring original research that advocates change or sheds light on clinical practices related to infectious diseases. The journal prioritizes articles with the potential to impact clinical practice or influence perspectives. Content covers a wide range of topics, including anti-infective therapy and immunization, bacterial, viral, fungal, and parasitic infections, emerging infectious diseases, HIV/AIDS, malaria, tuberculosis, mycobacterial infections, infection control, infectious diseases epidemiology, neglected tropical diseases, and travel medicine. Informative reviews on any subject linked to infectious diseases and human health are also welcomed.
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