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Shiga toxin-producing Escherichia coli (STEC) in bovine meat and meat products over the last 15 years in Brazil: A systematic review and meta-analysis.

Authors :
de Assis, Débora Cristina Sampaio
da Silva, Thaís Michelle Liziere
Brito, Rommel Furst
da Silva, Lorraine Cássia Gonçalves
Lima, William Gustavo
Brito, Júlio César Moreira
Source :
Meat Science. Mar2021, Vol. 173, pN.PAG-N.PAG. 1p.
Publication Year :
2021

Abstract

We conducted a systematic review and meta-analysis to determine the rate of contamination in bovine meat and meat products with Shiga toxin-producing Escherichia coli (STEC) in Brazil over the last fifteen years. Data were obtained from online databases in February 2020, and 25 papers were selected from 1036 articles identified in the literature search and 13 articles from gray literature, totaling 4286 samples analyzed. The overall rate of STEC was estimated to be 1% in Brazil. The highest rate (9%) was observed in Mato Grosso, followed by Rio Grande do Sul (1%), Goiás (1%), and São Paulo (1%). Regarding the sample type analyzed, hot carcasses had the highest rate (8%) of positive samples for STEC, followed by cold carcasses (2%) and beef samples (1%). As the available data were concentrated in the São Paulo state, the findings of this meta-analysis reveal the need for further studies in Brazil to allow better risk assessment and prevention of human STEC infections. • Meta-analysis was conducted to estimate the prevalence of STEC in Brazilian meats. • The studies were concentrated in the southeastern region, mainly in São Paulo state. • A great heterogeneity of contamination rate was observed among studies and regions. • The highest rate of contamination with STEC was observed in Mato Grosso state. • Hot carcasses had the highest rate of contamination among the sample types analyzed. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03091740
Volume :
173
Database :
Academic Search Index
Journal :
Meat Science
Publication Type :
Academic Journal
Accession number :
148124531
Full Text :
https://doi.org/10.1016/j.meatsci.2020.108394