Introduction One of the leading challenges in the 2013–2016 West African Ebola virus disease (EVD) outbreak was how best to quickly identify patients with EVD, separating them from those without the disease, in order to maximise limited isolation bed capacity and keep health systems functioning. Methodology We performed a systematic literature review to identify all published data on EVD clinical symptoms in adult patients. Data was dual extracted, and random effects meta-analysis performed for each symptom to identify symptoms with the greatest risk for EVD infection.


Credit: National Institute of Allergy and Infectious Diseases (NIAID)

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Citation: Jain V, Charlett A, Brown CS (2020) Meta-analysis of predictive symptoms for Ebola virus disease. PLoS Negl Trop Dis 14(10): e0008799.