Marburg Virus Disease outbreaks, mathematical models, and disease parameters: a systematic Review

Gina Cuomo-Dannenburg, Kelly McCain, Ruth McCabe, H. Juliette T. Unwin, Patrick Doohan, Rebecca K. Nash, Joseph T. Hicks, Kelly Charniga, Cyril Geismar, Ben Lambert, Dariya Nikitin, Janetta Skarp, Jack Wardle, Mara Kont, Sangeeta Bhatia, Natsuko Imai, Sabine van Elsland, Anne Cori, Christian Morgenstern*, Pathogen Epidemiology Review Group

*Corresponding author for this work

Research output: Contribution to journalReview article (Academic Journal)peer-review

27 Citations (Scopus)
27 Downloads (Pure)

Abstract

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.
Original languageEnglish
Pages (from-to) E307-E317
Number of pages11
JournalLancet Infectious Diseases
Volume24
Issue number5
Early online date28 Nov 2023
DOIs
Publication statusPublished - 1 May 2024

Bibliographical note

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© 2024 Elsevier Ltd

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