Source attribution of human Campylobacter infection: a multi-country model in the European Union

The sample sizes per source and the variety of sources included in the model influence the accuracy of the model and consequently the uncertainty of the predicted estimates. The attribution estimates for sources with a high number of samples available tend to be overestimated, whereas the estimates for source with only a few samples tend to be underestimated. Reccomendations for future sampling strategies include to aim for a more balanced sample distribution to improve the overall accuracy and utility of source attribution efforts.

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Publication Details

Journal
Frontiers in Microbiology
Published
2025-02-05
DOI
https://doi.org/10.3389/fmicb.2025.1519189
Citations
6
Primary Topic
Salmonella and Campylobacter epidemiology
Type
article
Field-Weighted Citation Impact
6.97
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article

Source attribution of human Campylobacter infection: a multi-country model in the European Union

Deirdre M. Prendergast, Wonhee Cha, Mónica Oleastro, Thomas Rosendal et al.
6 citations
Frontiers in Microbiology
Salmonella and Campylobacter epidemiology
6.97
article

Source attribution of human Campylobacter infection: a multi-country model in the European Union

Deirdre M. Prendergast, Wonhee Cha, Mónica Oleastro, Thomas Rosendal, Maja L. Brinch, Lurdes Clemente, Cecilie Thystrup, Aldert Zomer, Martine Denis, Clémentine Henri, Marianne Chemaly, Katrine Joensen, Amandine Thépault, Julio Álvarez, Kinga Wieczorek, Eva Møller Nielsen, Magdalena Skarżyńska, Gaia Scavia, Miguel Pinto, Katell Rivoal, Catherine M. Burgess, Ana M. Amaro, Geraldine Duffy, Tine Hald, Eelco Franz, Vicente Lopez-Chavarrias, Declan Bolton, Montserrat Gutiérrez, Lapo Mughini-Gras
article en
6 citations

Abstract

The sample sizes per source and the variety of sources included in the model influence the accuracy of the model and consequently the uncertainty of the predicted estimates. The attribution estimates for sources with a high number of samples available tend to be overestimated, whereas the estimates for source with only a few samples tend to be underestimated. Reccomendations for future sampling strategies include to aim for a more balanced sample distribution to improve the overall accuracy and utility of source attribution efforts.

Frontiers in MicrobiologyVol. 16
Statens Serum Institut (DK), Universidad Complutense de Madrid (ES), Teagasc - The Irish Agriculture and Food Development Authority (IE), Utrecht University (NL), Istituto Superiore di Sanità (IT), National Institute for Public Health and the Environment (NL), Instituto Nacional de Investigação Agrária e Veterinária (PT), National Veterinary Research Institute (PL), Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail (FR), National Institute of Health Dr. Ricardo Jorge (PT), Technical University of Denmark (DK)
Openalex Percentile: Top 4%
Salmonella and Campylobacter epidemiology
6.97
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