Abstract

The 2018–2020 Ebola virus disease epidemic in Democratic Republic of the Congo (DRC) resulted in 3481 cases (probable and confirmed) and 2299 deaths. In this paper, we use a novel statistical method to analyze the individual-level incidence and hospitalization data on DRC Ebola victims. Our analysis suggests that an increase in the rate of quarantine and isolation that has shortened the infectiousness period by approximately one day during the epidemic’s third and final wave was likely responsible for the eventual containment of the outbreak. The analysis further reveals that the total effective population size or the average number of individuals at risk for the disease exposure in three epidemic waves over the period of 24 months was around 16,000–a much smaller number than previously estimated and likely an evidence of at least partial protection of the population at risk through ring vaccination and contact tracing as well as adherence to strict quarantine and isolation policies.

Details

Title
Analysis of individual-level data from 2018–2020 Ebola outbreak in Democratic Republic of the Congo
Author
Vossler Harley 1 ; Akilimali Pierre 2 ; Pan Yuhan 1 ; KhudaBukhsh, Wasiur R 3 ; Kenah Eben 1 ; Rempała, Grzegorz A 1 

 The Ohio State University, College of Public Health, Columbus, USA (GRID:grid.261331.4) (ISNI:0000 0001 2285 7943) 
 University of Kinshasa, College of Public Health, Kinshasa, Congo (GRID:grid.9783.5) (ISNI:0000 0000 9927 0991) 
 University of Nottingham, School of Mathematical Sciences, Nottingham, UK (GRID:grid.4563.4) (ISNI:0000 0004 1936 8868) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2646027754
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.