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Volume 30, Number 11—November 2024
Online Report

Rapid Decision Algorithm for Patient Triage during Ebola Outbreaks

Denis-Luc Ardiet1Comments to Author , Justus Nsio1, Gaston Komanda, Rebecca M. Coulborn, Emmanuel Grellety, Francesco Grandesso, Richard Kitenge, Dolla L. Ngwanga, Bibiche Matady, Guyguy Manangama, Mathias Mossoko, John K. Ngwama, Placide Mbala, Francisco Luquero, Klaudia Porten, and Steve Ahuka-Mundeke
Author affiliation: Epicentre, Paris, France (D.-L. Ardiet, G. Komanda, R.M. Coulborn, E. Grellety, F. Grandesso, F. Luquero, K. Porten); Ministry of Health, Kinshasa, Democratic Republic of the Congo (J. Nsio, R. Kitenge, D.L. Ngwanga, B. Matady, M. Mossoko, J.K. Ngwama); Médecins Sans Frontières France, Paris (G. Manangama); Institut National de la Recherche Biomédicale, Kinshasa (P. Mbala, S. Ahuka-Mundeke); University of Kinshasa, Kinshasa (S. Ahuka-Mundeke)

Main Article

Figure 2

Classification performance (area under the receiver operating characteristic curve) of a rapid decision algorithm for patient triage during Ebola outbreaks a population of EVD-suspected patients in Democratic Republic of the Congo, during epidemics in 2018–2019. Results were based on data from different decision thresholds to predict Ebola infection (Ebola virus disease prediction score only).

Figure 2. Classification performance (area under the receiver operating characteristic curve) of a rapid decision algorithm for patient triage during Ebola outbreaks a population of EVD-suspected patients in Democratic Republic of the Congo, during epidemics in 2018–2019. Results were based on data from different decision thresholds to predict Ebola infection (Ebola virus disease prediction score only).

Main Article

1These authors are co–principal investigators and contributed equally to this article.

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