Re-emerging Marburg virus disease in Africa: spillover ecology, geographic expansion, and surveillance vulnerabilities.

IF 7 2区 医学 Q1 IMMUNOLOGY
Emerging Microbes & Infections Pub Date : 2026-12-01 Epub Date: 2026-09-11 DOI:10.1080/22221751.2026.2728744
Markos Tibbo, Robert Barigye, Gobena Ameni
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引用次数: 0

Abstract

Marburg virus disease (MVD) is re-emerging across Africa as a high-consequence zoonosis shaped by expanding ecological suitability, repeated spillover, and uneven surveillance capacity. This review synthesizes current evidence on the ecological, epidemiological, and operational determinants of contemporary Marburg virus (MARV) emergence. We conceptualize MVD as an ecological-emergence system produced by interactions among reservoir-host biology, environmental change, human exposure, health-system readiness, and mobility, rather than as a series of isolated outbreaks. Recent detections in multiple African regions indicate wider enzootic circulation than previously recognized and support repeated, reservoir-associated introductions from distributed ecological foci. Spillover risk is heightened where mining, land-use change, agricultural encroachment, settlement growth, climate-sensitive habitat disruption, and population movement increase contact with Egyptian rousette bats (Rousettus aegyptiacus) and contaminated roost environments. Following primary spillover, diagnostic delays, fragmented surveillance, limited laboratory decentralization, healthcare-associated transmission, and mobility-linked exposure can enable outbreak amplification and delayed recognition. Serological findings further suggest possible "shadow epidemiology," with unrecognized or mild MARV infections occurring outside confirmed outbreak chains. Critical preparedness gaps persist in ecological risk mapping, longitudinal reservoir surveillance, decentralized molecular diagnostics, genomic sequencing, data integration, and cross-border early warning. Future preparedness should move beyond reactive containment toward integrated One Health approach combining predictive ecological surveillance, rapid community-level detection, real-time genomics, infection prevention, risk communication, and regional coordination to identify spillover early and prevent human transmission.

非洲再次出现的马尔堡病毒病:溢出生态学、地理扩展和监测脆弱性。
马尔堡病毒病(MVD)作为一种后果严重的人畜共患病在非洲重新出现,其形成原因是生态适宜性扩大、重复溢出和监测能力不均衡。本综述综合了当代马尔堡病毒(MARV)出现的生态、流行病学和操作决定因素方面的现有证据。我们将MVD定义为由宿主生物学、环境变化、人类暴露、卫生系统准备程度和流动性之间的相互作用产生的生态涌现系统,而不是一系列孤立的暴发。最近在多个非洲地区发现的病例表明,地方性兽疫的流行范围比以前认识到的更广,并支持从分布式生态疫源地反复引入与水库相关的疾病。在采矿、土地利用变化、农业侵占、定居点增长、气候敏感栖息地破坏和人口流动增加了与埃及红颊蝠(Rousettus aegyptiacus)的接触和栖息地环境受到污染的地方,溢出风险会加剧。在初次溢出之后,诊断延误、监测分散、实验室权力下放有限、与卫生保健相关的传播以及与流动相关的暴露可能导致疫情扩大和识别延迟。血清学结果进一步表明可能存在“影子流行病学”,即未被识别的或轻微的MARV感染发生在已确认的爆发链之外。在生态风险制图、纵向水库监测、分散的分子诊断、基因组测序、数据整合和跨界预警方面,仍然存在重大的准备差距。未来的准备工作应超越反应性遏制,转向综合的“同一个健康”方法,结合预测性生态监测、社区一级的快速检测、实时基因组学、感染预防、风险沟通和区域协调,以及早发现溢出效应并防止人际传播。
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
Emerging Microbes & Infections
Emerging Microbes & Infections IMMUNOLOGY-MICROBIOLOGY
CiteScore
26.20
自引率
2.30%
发文量
276
审稿时长
20 weeks
期刊介绍: Emerging Microbes & Infections is a peer-reviewed, open-access journal dedicated to publishing research at the intersection of emerging immunology and microbiology viruses. The journal's mission is to share information on microbes and infections, particularly those gaining significance in both biological and clinical realms due to increased pathogenic frequency. Emerging Microbes & Infections is committed to bridging the scientific gap between developed and developing countries. This journal addresses topics of critical biological and clinical importance, including but not limited to: - Epidemic surveillance - Clinical manifestations - Diagnosis and management - Cellular and molecular pathogenesis - Innate and acquired immune responses between emerging microbes and their hosts - Drug discovery - Vaccine development research Emerging Microbes & Infections invites submissions of original research articles, review articles, letters, and commentaries, fostering a platform for the dissemination of impactful research in the field.
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