Meta‐analysis of the prevalence of thermotolerant Campylobacter in food‐producing animals worldwide
The objective of this meta‐analysis was to summarize available information on the prevalence of thermotolerant Campylobacter (TC) in different food‐producing animals worldwide. Databases (i.e., PubMed, ScienceDirect, Scopus) were searched from 1980 to 2017 unrestricted by language. The inclusion criteria were as follows: prevalence or incidence studies, published in peer‐reviewed journals, and they must have reported the total number of animal samples studied and the number of samples that were positive for the presence of TC. When the identification of Campylobacter species was available, this information was included in the analysis. Multilevel random‐effect meta‐analysis models were fitted to estimate mean occurrence rate of TC and to compare them among different factors potentially associated with the outcome. The mean occurrence rate of TC in food‐producing animals was 0.424 (95% CI: 0.394–0.455), and the mean occurrence rate of Campylobacter jejuni and Campylobacter coli were 0.214 and 0.133, respectively. Pigs and poultry showed the highest prevalence of TC; however, there were differences in the prevalence of each Campylobacter species. Campylobacter jejuni was observed in broilers (0.322; 95% CI: 0.273–0.377) and hens (0.395; 95% CI: 0.265–0.542), while C. coli was restricted essentially in pigs (0.553; 95% CI: 0.541–0.650). The prevalence of C. jejuni in intensively bred cattle was higher (0.302; 95% CI: 0.227–0.389) than the prevalence in extensively bred cattle (0.172; 95% CI: 0.119–0.242) while the prevalence of C. coli was similar (0.051; 95% CI: 0.028–0.091 vs. 0.050; 95% CI: 0.027–0.091) in both production systems. Agar with or without blood used for the isolation of TC did not affect the prevalence observed. The method of species identification did not seem to generate differences in the prevalence of Campylobacter species. The prevalence of Campylobacter in primary food production has a strong impact on the entire agri‐food chain. National authorities must monitor the situation with the aim to establish the appropriate risk management measures.
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Wiley
2019-06
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Subjects: | Campylobacter, Bacteria, Producción Alimentaria, Producción Animal, Métodos Estadísticos, Cadena Alimentaria, Food Production, Animal Production, Statistical Methods, Food Chains, |
Online Access: | https://onlinelibrary.wiley.com/doi/abs/10.1111/zph.12558 http://hdl.handle.net/20.500.12123/5697 https://doi.org/10.1111/zph.12558 |
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Campylobacter Bacteria Producción Alimentaria Producción Animal Métodos Estadísticos Cadena Alimentaria Food Production Animal Production Statistical Methods Food Chains Campylobacter Bacteria Producción Alimentaria Producción Animal Métodos Estadísticos Cadena Alimentaria Food Production Animal Production Statistical Methods Food Chains |
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Campylobacter Bacteria Producción Alimentaria Producción Animal Métodos Estadísticos Cadena Alimentaria Food Production Animal Production Statistical Methods Food Chains Campylobacter Bacteria Producción Alimentaria Producción Animal Métodos Estadísticos Cadena Alimentaria Food Production Animal Production Statistical Methods Food Chains Rossler, Eugenia Signorini, Marcelo Romero Scharpen, Analía Soto, Lorena Paola Berisvil, Ayelén Patricia Zimmermann, Jorge Alberto Fusari, Marcia Lucia Olivero, Carolina Raquel Zbrun, María Virginia Frizzo, Laureano Sebastian Meta‐analysis of the prevalence of thermotolerant Campylobacter in food‐producing animals worldwide |
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The objective of this meta‐analysis was to summarize available information on the prevalence of thermotolerant Campylobacter (TC) in different food‐producing animals worldwide. Databases (i.e., PubMed, ScienceDirect, Scopus) were searched from 1980 to 2017 unrestricted by language. The inclusion criteria were as follows: prevalence or incidence studies, published in peer‐reviewed journals, and they must have reported the total number of animal samples studied and the number of samples that were positive for the presence of TC. When the identification of Campylobacter species was available, this information was included in the analysis. Multilevel random‐effect meta‐analysis models were fitted to estimate mean occurrence rate of TC and to compare them among different factors potentially associated with the outcome. The mean occurrence rate of TC in food‐producing animals was 0.424 (95% CI: 0.394–0.455), and the mean occurrence rate of Campylobacter jejuni and Campylobacter coli were 0.214 and 0.133, respectively. Pigs and poultry showed the highest prevalence of TC; however, there were differences in the prevalence of each Campylobacter species. Campylobacter jejuni was observed in broilers (0.322; 95% CI: 0.273–0.377) and hens (0.395; 95% CI: 0.265–0.542), while C. coli was restricted essentially in pigs (0.553; 95% CI: 0.541–0.650). The prevalence of C. jejuni in intensively bred cattle was higher (0.302; 95% CI: 0.227–0.389) than the prevalence in extensively bred cattle (0.172; 95% CI: 0.119–0.242) while the prevalence of C. coli was similar (0.051; 95% CI: 0.028–0.091 vs. 0.050; 95% CI: 0.027–0.091) in both production systems. Agar with or without blood used for the isolation of TC did not affect the prevalence observed. The method of species identification did not seem to generate differences in the prevalence of Campylobacter species. The prevalence of Campylobacter in primary food production has a strong impact on the entire agri‐food chain. National authorities must monitor the situation with the aim to establish the appropriate risk management measures. |
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Campylobacter Bacteria Producción Alimentaria Producción Animal Métodos Estadísticos Cadena Alimentaria Food Production Animal Production Statistical Methods Food Chains |
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Rossler, Eugenia Signorini, Marcelo Romero Scharpen, Analía Soto, Lorena Paola Berisvil, Ayelén Patricia Zimmermann, Jorge Alberto Fusari, Marcia Lucia Olivero, Carolina Raquel Zbrun, María Virginia Frizzo, Laureano Sebastian |
author_facet |
Rossler, Eugenia Signorini, Marcelo Romero Scharpen, Analía Soto, Lorena Paola Berisvil, Ayelén Patricia Zimmermann, Jorge Alberto Fusari, Marcia Lucia Olivero, Carolina Raquel Zbrun, María Virginia Frizzo, Laureano Sebastian |
author_sort |
Rossler, Eugenia |
title |
Meta‐analysis of the prevalence of thermotolerant Campylobacter in food‐producing animals worldwide |
title_short |
Meta‐analysis of the prevalence of thermotolerant Campylobacter in food‐producing animals worldwide |
title_full |
Meta‐analysis of the prevalence of thermotolerant Campylobacter in food‐producing animals worldwide |
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Meta‐analysis of the prevalence of thermotolerant Campylobacter in food‐producing animals worldwide |
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Meta‐analysis of the prevalence of thermotolerant Campylobacter in food‐producing animals worldwide |
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meta‐analysis of the prevalence of thermotolerant campylobacter in food‐producing animals worldwide |
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Wiley |
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2019-06 |
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https://onlinelibrary.wiley.com/doi/abs/10.1111/zph.12558 http://hdl.handle.net/20.500.12123/5697 https://doi.org/10.1111/zph.12558 |
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oai:localhost:20.500.12123-56972019-08-27T12:20:58Z Meta‐analysis of the prevalence of thermotolerant Campylobacter in food‐producing animals worldwide Rossler, Eugenia Signorini, Marcelo Romero Scharpen, Analía Soto, Lorena Paola Berisvil, Ayelén Patricia Zimmermann, Jorge Alberto Fusari, Marcia Lucia Olivero, Carolina Raquel Zbrun, María Virginia Frizzo, Laureano Sebastian Campylobacter Bacteria Producción Alimentaria Producción Animal Métodos Estadísticos Cadena Alimentaria Food Production Animal Production Statistical Methods Food Chains The objective of this meta‐analysis was to summarize available information on the prevalence of thermotolerant Campylobacter (TC) in different food‐producing animals worldwide. Databases (i.e., PubMed, ScienceDirect, Scopus) were searched from 1980 to 2017 unrestricted by language. The inclusion criteria were as follows: prevalence or incidence studies, published in peer‐reviewed journals, and they must have reported the total number of animal samples studied and the number of samples that were positive for the presence of TC. When the identification of Campylobacter species was available, this information was included in the analysis. Multilevel random‐effect meta‐analysis models were fitted to estimate mean occurrence rate of TC and to compare them among different factors potentially associated with the outcome. The mean occurrence rate of TC in food‐producing animals was 0.424 (95% CI: 0.394–0.455), and the mean occurrence rate of Campylobacter jejuni and Campylobacter coli were 0.214 and 0.133, respectively. Pigs and poultry showed the highest prevalence of TC; however, there were differences in the prevalence of each Campylobacter species. Campylobacter jejuni was observed in broilers (0.322; 95% CI: 0.273–0.377) and hens (0.395; 95% CI: 0.265–0.542), while C. coli was restricted essentially in pigs (0.553; 95% CI: 0.541–0.650). The prevalence of C. jejuni in intensively bred cattle was higher (0.302; 95% CI: 0.227–0.389) than the prevalence in extensively bred cattle (0.172; 95% CI: 0.119–0.242) while the prevalence of C. coli was similar (0.051; 95% CI: 0.028–0.091 vs. 0.050; 95% CI: 0.027–0.091) in both production systems. Agar with or without blood used for the isolation of TC did not affect the prevalence observed. The method of species identification did not seem to generate differences in the prevalence of Campylobacter species. The prevalence of Campylobacter in primary food production has a strong impact on the entire agri‐food chain. National authorities must monitor the situation with the aim to establish the appropriate risk management measures. EEA Rafaela Fil: Rossler, Eugenia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Ciencias Veterinarias del Litoral. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias. Instituto de Ciencias Veterinarias del Litoral; Argentina Fil: Signorini, Marcelo. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias. Departamento de Salud Pública; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Rafaela; Argentina Fil: Romero Scharpen, Analía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Ciencias Veterinarias del Litoral. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias. Instituto de Ciencias Veterinarias del Litoral; Argentina Fil: Soto, Lorena Paola. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias. Departamento de Salud Pública; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Ciencias Veterinarias del Litoral. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias. Instituto de Ciencias Veterinarias del Litoral; Argentina. Fil: Berisvil, Ayelén Patricia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Ciencias Veterinarias del Litoral. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias. Instituto de Ciencias Veterinarias del Litoral; Argentina Fil: Zimmermann, Jorge Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Ciencias Veterinarias del Litoral. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias. Instituto de Ciencias Veterinarias del Litoral; Argentina Fil: Fusari, Marcia Lucia. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias. Departamento de Salud Pública; Argentina Fil: Olivero, Carolina Raquel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Ciencias Veterinarias del Litoral. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias. Instituto de Ciencias Veterinarias del Litoral; Argentina Fil: Zbrun, María Virginia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Ciencias Veterinarias del Litoral. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias. Instituto de Ciencias Veterinarias del Litoral; Argentina. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias. Departamento de Salud Pública; Argentina Fil: Frizzo, Laureano Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Ciencias Veterinarias del Litoral. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias. Instituto de Ciencias Veterinarias del Litoral; Argentina. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias. Departamento de Salud Pública; Argentina 2019-08-27T12:19:34Z 2019-08-27T12:19:34Z 2019-06 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://onlinelibrary.wiley.com/doi/abs/10.1111/zph.12558 http://hdl.handle.net/20.500.12123/5697 1863-1959 1863-2378 https://doi.org/10.1111/zph.12558 eng info:eu-repo/semantics/restrictedAccess application/pdf Wiley Zoonoses and Public Health 66 (4) : 359-369 (June 2019) |