The Lancet. Infectious diseases · 2023
Marburg virus disease outbreaks, mathematical models, and disease parameters: a systematic review.
Систематический обзорСтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Cuomo-Dannenburg Gina, McCain Kelly, McCabe Ruth, Unwin H Juliette T, Doohan Patrick, Nash Rebecca K, Hicks Joseph T, Charniga Kelly, Geismar Cyril, Lambert Ben, Nikitin Dariya, Skarp Janetta, Wardle Jack, Kont Mara, Bhatia Sangeeta, Imai Natsuko, van Elsland Sabine, Cori Anne, Morgenstern Christian, Pathogen Epidemiology Review Group
Аннотация
The 2023 Marburg virus disease outbreaks in Equatorial Guinea and Tanzania highlighted the importance of better understanding this lethal pathogen. We did a systematic review (PROSPERO CRD42023393345) of peer-reviewed articles reporting historical outbreaks, modelling studies, and epidemiological parameters focused on Marburg virus disease. We searched PubMed and Web of Science from database inception to March 31, 2023. Two reviewers evaluated all titles and abstracts with consensus-based decision making. To ensure agreement, 13 (31%) of 42 studies were double-extracted and a custom-designed quality assessment questionnaire was used for risk of bias assessment. We present detailed information on 478 reported cases and 385 deaths from Marburg virus disease. Analysis of historical outbreaks and seroprevalence estimates suggests the possibility of undetected Marburg virus disease outbreaks, asymptomatic transmission, or cross-reactivity with other pathogens, or a combination of these. Only one study presented a mathematical model of Marburg virus transmission. We estimate an unadjusted, pooled total random effect case fatality ratio of 61·9% (95% CI 38·8-80·6; I2=93%). We identify epidemiological parameters relating to transmission and natural history, for which there are few estimates. This systematic review and the accompanying database provide a comprehensive overview of Marburg virus disease epidemiology and identify key knowledge gaps, contributing crucial information for mathematical models to support future Marburg virus disease epidemic responses.