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The Lancet. Infectious diseases · 2024

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

Систематический обзорСтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Nash Rebecca K, Bhatia Sangeeta, Morgenstern Christian, Doohan Patrick, Jorgensen David, McCain Kelly, McCabe Ruth, Nikitin Dariya, Forna Alpha, Cuomo-Dannenburg Gina, Hicks Joseph T, Sheppard Richard J, Naidoo Tristan, van Elsland Sabine, Geismar Cyril, Rawson Thomas, Leuba Sequoia Iris, Wardle Jack, Routledge Isobel, Fraser Keith, Pathogen Epidemiology Review Group, Imai-Eaton Natsuko, Cori Anne, Unwin H Juliette T

Аннотация

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.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты