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Dataset Information

Identifying Paucisymptomatic or Asymptomatic and Unrecognized Ebola Virus Disease Among Close Contacts Based on Exposure Risk Assessments and Screening Algorithms.


ABSTRACT:

Background

There is limited evidence to evaluate screening algorithms with rapid antigen testing and exposure assessments as identification strategies for paucisymptomatic or asymptomatic Ebola virus (EBOV) infection and unrecognized EBOV disease (EVD).

Methods

We used serostatus and self-reported postexposure symptoms from a cohort study to classify contact-participants as having no infection, paucisymptomatic or asymptomatic infection, or unrecognized EVD. Exposure risk was categorized as low, intermediate, or high. We created hypothetical scenarios to evaluate the World Health Organization (WHO) case definition with or without rapid diagnostic testing (RDT) or exposure assessments.

Results

This analysis included 990 EVD survivors and 1909 contacts, of whom 115 (6%)

SUBMITTER: Gayedyu-Dennis D 

PROVIDER: S-EPMC10319948 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature