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. 2021 Jun:155:104921.
doi: 10.1016/j.micpath.2021.104921. Epub 2021 Apr 27.

Brucellosis in Iranian livestock: A meta-epidemiological study

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Brucellosis in Iranian livestock: A meta-epidemiological study

Maryam Dadar et al. Microb Pathog. 2021 Jun.

Abstract

Brucellosis is a widespread zoonotic disease affecting human and livestock health. This meta-epidemiological study is aiming to draw a comprehensive picture of the Brucella prevalence in Iranian livestock, trying to estimate most affected subgroups as well as the most appropriate methods and sampling conditions for brucellosis screening programs. A literature search was performed among data published between 1 January 1970 and July 2020. Different subgroups were compared according to animal species, gender, age, sampling season, sampling locations as well as the diagnostic method used for brucellosis screening. To determine heterogeneity of studies, Chi-squared test was used and a random effect model (REM) estimated the pooled prevalence among subgroups. A total of 45 publications, comprising 240 studies/data-reports, were evaluated. A significant increase in the number of studies was found over time (Coefficient = 0.151, p value < 0.001). The most studied species in Iran was cow (n = 75), followed by sheep (n = 63), goat (n = 45), camel (n = 40) and Buffalo (n = 16). The most identified Brucella species in livestock were Brucella melitensis (n = 50), Brucella abortus (n = 39), mix infection of B. melitensis and B. abortus (n = 11) and vaccine strain of B. melitensis Rev1 (n = 4). PCR-based tests were the most common applied diagnostic method (n = 140), while the highest prevalence rate of positive samples was obtained by indirect ELISA (69%). The prevalence of brucellosis was significantly higher in females (10.91%) compared to males (8.23%). The meta-epidemiological study of brucellosis in Iranian livestock would help to strengthen surveillance, control and prevention approaches to counter the spread of this zoonotic disease.

Keywords: Brucellosis; Iran; Livestock; Meta-epidemiology.

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