Prevalence of Multidrug Resistance Mycobacterium Bovis in Human: A Systematic Review and Meta-Analysis
Abstract
Introduction:
Human infection with multidrug resistant mycobacterium bovis (MDR-M.bovis) is very rare. Recently, infection with this type of bacteria has been described. The WHO strategy to end TB by 2035, recall for more efforts in the diagnosis and treatment of mycobacterium bovis particularly in resource limited countries. The aim of this systematic review was to determine the prevalence of multidrug resistant tuberculosis M.bovis infects human.
Methods:
International database including Medline, EMBASE, and Web of Sciences, Scopus, and ScienceDirect were searched for related literature. Google Scholar searching engines as well as references list were explored. Studies met the inclusion criteria were included in the systematic review. Random effects model was used to estimate the pooled prevalence.
Results:
A total number of (4275) studies were retrieved and nine studies were included in the meta analysis. The overall estimated prevalence of the multidrug resistant Mycobacterium bovis was 0.04 (95% CI: 0.02, 0.06). Based one study quality, time and area of study, subgroup analysis were conducted to check for heterogeneity. The prevalence of MDR-M bovis in low quality studies was 0.04 (95% CI: 0.00, 0.06), and in high quality studies was 0.05 (95% CI: 0.02, 0.08).
Conclusions:
The finding of this study indicated that the prevalence of multidrug resistant M.bovis in human is low. However, more attention is needed in the diagnosis and treatment of M.bovis infection in Human.
Keywords: Tuberculosis, Multidrug-Resistant Mycobacterium bovis review meta-analysis Human
DOI: 10.7176/JHMN/69-01
Publication date: December 31st 2019
To list your conference here. Please contact the administrator of this platform.
Paper submission email: JHMN@iiste.org
ISSN 2422-8419
Please add our address "contact@iiste.org" into your email contact list.
This journal follows ISO 9001 management standard and licensed under a Creative Commons Attribution 3.0 License.
Copyright © www.iiste.org