A statistical modelling approach for source attribution meta-analysis of sporadic infection with foodborne pathogens.

Mughini-Gras L, Benincà E, McDonald SA, de Jong A, Chardon J, Evers E, Bonačić Marinović AA

DOI: 10.1111/zph.12937
Published: 2022 Aug
Container: Zoonoses and public health
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1111/zph.12937,
  title = {A statistical modelling approach for source attribution meta-analysis of sporadic infection with foodborne pathogens.},
  author = {Mughini-Gras L and Benincà E and McDonald SA and de Jong A and Chardon J and Evers E and Bonačić Marinović AA},
  year = {2022},
  journal = {Zoonoses and public health},
  doi = {10.1111/zph.12937},
  url = {https://doi.org/10.1111/zph.12937}
}

RIS

TY  - JOUR
TI  - A statistical modelling approach for source attribution meta-analysis of sporadic infection with foodborne pathogens.
AU  - Mughini-Gras L
AU  - Benincà E
AU  - McDonald SA
AU  - de Jong A
AU  - Chardon J
AU  - Evers E
AU  - Bonačić Marinović AA
PY  - 2022
JO  - Zoonoses and public health
DO  - 10.1111/zph.12937
UR  - https://doi.org/10.1111/zph.12937
ER  -

APA

L, M., E, B., SA, M., A, D. J., J, C., E, E., & AA, B. M. (2022). A statistical modelling approach for source attribution meta-analysis of sporadic infection with foodborne pathogens.. Zoonoses and public health. https://doi.org/10.1111/zph.12937

Source records

pubmed · retrieved 2026-09-26T23:51:42.193Z
europe-pmc · retrieved 2026-09-26T23:51:42.213Z