Salmonella source attribution based on microbial subtyping

Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

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Salmonella source attribution based on microbial subtyping. / Barco, Lisa; Barrucci, Federica; Olsen, John Elmerdahl; Ricci, Antonia.

I: International Journal of Food Microbiology, Bind 163, Nr. 2-3, 2013, s. 193-203.

Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

Harvard

Barco, L, Barrucci, F, Olsen, JE & Ricci, A 2013, 'Salmonella source attribution based on microbial subtyping', International Journal of Food Microbiology, bind 163, nr. 2-3, s. 193-203. https://doi.org/10.1016/j.ijfoodmicro.2013.03.005

APA

Barco, L., Barrucci, F., Olsen, J. E., & Ricci, A. (2013). Salmonella source attribution based on microbial subtyping. International Journal of Food Microbiology, 163(2-3), 193-203. https://doi.org/10.1016/j.ijfoodmicro.2013.03.005

Vancouver

Barco L, Barrucci F, Olsen JE, Ricci A. Salmonella source attribution based on microbial subtyping. International Journal of Food Microbiology. 2013;163(2-3):193-203. https://doi.org/10.1016/j.ijfoodmicro.2013.03.005

Author

Barco, Lisa ; Barrucci, Federica ; Olsen, John Elmerdahl ; Ricci, Antonia. / Salmonella source attribution based on microbial subtyping. I: International Journal of Food Microbiology. 2013 ; Bind 163, Nr. 2-3. s. 193-203.

Bibtex

@article{3755c8397d2c469daf1eb360058c817b,
title = "Salmonella source attribution based on microbial subtyping",
abstract = "Source attribution of cases of food-borne disease represents a valuable tool for identifying and prioritizing effective food-safety interventions. Microbial subtyping is one of the most common methods to infer potential sources of human food-borne infections. So far, Salmonella microbial subtyping source attribution models have been implemented by using serotyping and phage-typing data. Molecular-based methods may prove to be similarly valuable in the future, as already demonstrated for other food-borne pathogens like Campylobacter. This review assesses the state of the art concerning Salmonella source attribution through microbial subtyping approach. It summarizes the available microbial subtyping attribution models and discusses the use of conventional phenotypic typing methods, as well as of the most commonly applied molecular typing methods in the European Union (EU) laboratories in the context of their potential applicability for Salmonella source attribution studies.",
keywords = "Faculty of Health and Medical Sciences, veterinary public health, Salmonella control, Salmonella spp, Microbial subtyping source attribution models, Subtyping methods",
author = "Lisa Barco and Federica Barrucci and Olsen, {John Elmerdahl} and Antonia Ricci",
note = "Copyright {\textcopyright} 2013 Elsevier B.V. All rights reserved.",
year = "2013",
doi = "10.1016/j.ijfoodmicro.2013.03.005",
language = "English",
volume = "163",
pages = "193--203",
journal = "International Journal of Food Microbiology",
issn = "0168-1605",
publisher = "Elsevier",
number = "2-3",

}

RIS

TY - JOUR

T1 - Salmonella source attribution based on microbial subtyping

AU - Barco, Lisa

AU - Barrucci, Federica

AU - Olsen, John Elmerdahl

AU - Ricci, Antonia

N1 - Copyright © 2013 Elsevier B.V. All rights reserved.

PY - 2013

Y1 - 2013

N2 - Source attribution of cases of food-borne disease represents a valuable tool for identifying and prioritizing effective food-safety interventions. Microbial subtyping is one of the most common methods to infer potential sources of human food-borne infections. So far, Salmonella microbial subtyping source attribution models have been implemented by using serotyping and phage-typing data. Molecular-based methods may prove to be similarly valuable in the future, as already demonstrated for other food-borne pathogens like Campylobacter. This review assesses the state of the art concerning Salmonella source attribution through microbial subtyping approach. It summarizes the available microbial subtyping attribution models and discusses the use of conventional phenotypic typing methods, as well as of the most commonly applied molecular typing methods in the European Union (EU) laboratories in the context of their potential applicability for Salmonella source attribution studies.

AB - Source attribution of cases of food-borne disease represents a valuable tool for identifying and prioritizing effective food-safety interventions. Microbial subtyping is one of the most common methods to infer potential sources of human food-borne infections. So far, Salmonella microbial subtyping source attribution models have been implemented by using serotyping and phage-typing data. Molecular-based methods may prove to be similarly valuable in the future, as already demonstrated for other food-borne pathogens like Campylobacter. This review assesses the state of the art concerning Salmonella source attribution through microbial subtyping approach. It summarizes the available microbial subtyping attribution models and discusses the use of conventional phenotypic typing methods, as well as of the most commonly applied molecular typing methods in the European Union (EU) laboratories in the context of their potential applicability for Salmonella source attribution studies.

KW - Faculty of Health and Medical Sciences

KW - veterinary public health

KW - Salmonella control

KW - Salmonella spp

KW - Microbial subtyping source attribution models

KW - Subtyping methods

U2 - 10.1016/j.ijfoodmicro.2013.03.005

DO - 10.1016/j.ijfoodmicro.2013.03.005

M3 - Journal article

C2 - 23562696

VL - 163

SP - 193

EP - 203

JO - International Journal of Food Microbiology

JF - International Journal of Food Microbiology

SN - 0168-1605

IS - 2-3

ER -

ID: 45205374