Interruption of tuberculosis detection and care during the Ebola virus disease epidemic (2014–2015) in Liberia: time-series analyses for 2013–2017

Bibliographic Details
Title: Interruption of tuberculosis detection and care during the Ebola virus disease epidemic (2014–2015) in Liberia: time-series analyses for 2013–2017
Authors: Keith L. Gray, Naomi F. Walker, Frederick Martineau, Nahid Bhadelia, Wahdae-mai Harmon-Gray, Laura A. Skrip, Jean DeMarco, Patrick Konwloh, Nelson Dunbar
Source: International Journal of Infectious Diseases, Vol 112, Iss , Pp 13-20 (2021)
Publisher Information: Elsevier, 2021.
Publication Year: 2021
Collection: LCC:Infectious and parasitic diseases
Subject Terms: Ebola, Interrupted time-series analysis, Liberia, Mycobacterium tuberculosis, Public health, Disease outbreaks, Infectious and parasitic diseases, RC109-216
More Details: Objective: Interrupted time-series analyses, using 5 years of routinely collected health information system data, were conducted to estimate the magnitude of impact of the 2014–2015 Ebola virus disease (EVD) epidemic and determine trends in tuberculosis (TB) care services in Liberia. Methods: A segmented linear regression model was used to generate estimates and predictions for trends for three TB service indicators before, during, and after EVD, from January 2013 to December 2017. Results: It was found that the number of presumptive TB cases declined significantly at the start of the EVD outbreak, with an estimated loss of 3222 cases (95% confidence interval (CI) −5691 to −752; P = 0.014). There was also an estimated loss of 709 cases per quarter post-EVD (95% CI −1346 to −71; P = 0.032). However, over the post-EVD period, quarterly increases were observed in the proportion of smear-positive to presumptive cases (1.45%, 95% CI 0.38% to 2.5%; P = 0.011) and the proportion of treatment success to TB cases evaluated (3.3%, 95% CI 0.82% to 5.79%; P = 0.013). Conclusions: These findings suggest that the EVD outbreak (2014–2015) negatively affected TB care services. Rigorous quantitative analyses can be used to assess the magnitude of interruption and advocate for preparedness in settings with limited healthcare capacity.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1201-9712
Relation: http://www.sciencedirect.com/science/article/pii/S1201971221006755; https://doaj.org/toc/1201-9712
DOI: 10.1016/j.ijid.2021.08.041
Access URL: https://doaj.org/article/6dd47cbccccb452c8a2dc27cde936b66
Accession Number: edsdoj.6dd47cbccccb452c8a2dc27cde936b66
Database: Directory of Open Access Journals
More Details
ISSN:12019712
DOI:10.1016/j.ijid.2021.08.041
Published in:International Journal of Infectious Diseases
Language:English