Marburg virus disease in Rwanda: an observational study of the first 10 days of outbreak response, clinical interventions, and outcomes.

IF 7 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Gashaija Absolomon, Canita R Brent, Emmanuel C Nyabyenda, Kelly Mwiza, Piero Irakiza, Zuki Chiwandire, Caroline Mudereri, Nathalie Umutoni, Sabine Musange, Eric Seruyange, Felix K Rubuga, Theogene Twagiramugabe, Sanctus Musafiri, Edson Rwagasore, Jeanine Condo
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引用次数: 0

Abstract

Background: Marburg virus disease (MVD) is a highly fatal hemorrhagic fever with fatality rates between 33 and 88% in sub-Saharan Africa. Rwanda reported its first MVD outbreak on September 27, 2024. This study assessed Rwanda's response to its first MVD outbreak, focusing on identifying critical success factors and areas for improvement during the initial 10 days after outbreak declaration.

Methods: This observational study analyzed publicly available data from daily screenings and outbreak reports provided by the Rwanda Ministry of Health and Rwanda Biomedical Center between September 27 and October 7, 2024. The study examined confirmed cases, deaths, testing rates, and recoveries, including healthcare response measures. Data was collected from checkpoints and passenger screening at entry points, with information aggregated into Rwanda's Health System.

Results: By October 7, 2024, Rwanda reported 56 confirmed MVD cases, including 12 deaths and 8 recoveries. Daily screening began on October 3rd, and by October 7th, 2387 individuals were tested, with a positivity rate of 2.3%. Healthcare workers accounted for over 70% of confirmed cases. No new deaths were reported from October 4 (day 7) until October 7th (day 10), though the first 2-3 days after outbreak declaration were critical, with 6 deaths occurring during this period. Rwanda's response included increased testing, early detection, intensive care management, experimental therapeutics (monoclonal antibodies and remdesivir), and comprehensive contact tracing.

Conclusions: Analysis of the first 10 days of Rwanda's MVD outbreak provides valuable insights into effective outbreak response, highlighting the importance of early interventions, healthcare worker protection, enhanced testing, and international collaboration. Early detection and intensive management of cases, including advanced critical care and strong laboratory infrastructure, are essential to reduce early mortality. These findings emphasize the need to strengthen healthcare systems by establishing rapid preparedness and response mechanisms before outbreaks occur and fostering international partnerships to enhance outbreak management and control.

卢旺达马尔堡病毒病:对疫情应对、临床干预和结果的头10天观察性研究
背景:马尔堡病毒病(MVD)是撒哈拉以南非洲地区一种高度致命的出血热,病死率在33%至88%之间。卢旺达于2024年9月27日报告了其第一次MVD疫情。这项研究评估了卢旺达对其第一次MVD疫情的反应,重点是确定疫情宣布后最初10天内关键的成功因素和需要改进的领域。方法:本观察性研究分析了卢旺达卫生部和卢旺达生物医学中心在2024年9月27日至10月7日期间提供的每日筛查和疫情报告的公开数据。该研究检查了确诊病例、死亡病例、检测率和康复情况,包括医疗应对措施。从检查站和入境点的乘客检查收集数据,并将信息汇总到卢旺达卫生系统。结果:截至2024年10月7日,卢旺达报告了56例MVD确诊病例,其中12例死亡,8例康复。10月3日开始每日筛查,截至10月7日,共检测2387例,阳性率2.3%。卫生保健工作者占确诊病例的70%以上。从10月4日(第7天)到10月7日(第10天)没有报告新的死亡,尽管在宣布疫情后的头2-3天非常严重,在此期间发生了6例死亡。卢旺达的应对措施包括增加检测、早期发现、重症监护管理、实验性治疗(单克隆抗体和瑞德西韦)以及全面追踪接触者。结论:对卢旺达MVD暴发头10天的分析为有效应对疫情提供了有价值的见解,强调了早期干预、卫生保健工作者保护、加强检测和国际合作的重要性。病例的早期发现和强化管理,包括先进的重症监护和强大的实验室基础设施,对于降低早期死亡率至关重要。这些发现强调需要在疫情发生前建立快速准备和反应机制,并促进国际伙伴关系以加强疫情管理和控制,从而加强卫生保健系统。
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
BMC Medicine
BMC Medicine 医学-医学:内科
CiteScore
13.10
自引率
1.10%
发文量
435
审稿时长
4-8 weeks
期刊介绍: BMC Medicine is an open access, transparent peer-reviewed general medical journal. It is the flagship journal of the BMC series and publishes outstanding and influential research in various areas including clinical practice, translational medicine, medical and health advances, public health, global health, policy, and general topics of interest to the biomedical and sociomedical professional communities. In addition to research articles, the journal also publishes stimulating debates, reviews, unique forum articles, and concise tutorials. All articles published in BMC Medicine are included in various databases such as Biological Abstracts, BIOSIS, CAS, Citebase, Current contents, DOAJ, Embase, MEDLINE, PubMed, Science Citation Index Expanded, OAIster, SCImago, Scopus, SOCOLAR, and Zetoc.
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