Predicting Salmonella prevalence associated with meteorological factors in pastured poultry farms in southeastern United States.

Hwang, Daizy; Rothrock, Michael J; Pang, Hao; Guo, Miao; Mishra, Abhinav

Hwang, Daizy; Rothrock, Michael J; Pang, Hao; Guo, Miao; Mishra, Abhinav.

Afiliación

Hwang D; Department of Food Science and Technology, University of Georgia, Athens, GA, USA.
Rothrock MJ; Egg Safety and Quality Research Unit, U.S. National Poultry Research Center, Agricultural Research Service, United States Department of Agriculture, Athens, GA, USA.
Pang H; Joint Institute for Food Safety and Applied Nutrition, University of Maryland, College Park, MD, USA.
Guo M; PepsiCo Food Safety Center of Excellence, Beijing, China.
Mishra A; Department of Food Science and Technology, University of Georgia, Athens, GA, USA. Electronic address: amishra@uga.edu.

Sci Total Environ ; 713: 136359, 2020 Apr 15.

Article en En | MEDLINE | ID: mdl-32019007

Asunto(s)

Salmonelosis Animal; Salmonella; Animales; Granjas; Conceptos Meteorológicos; Aves de Corral; Prevalencia; Sudeste de Estados Unidos

Palabras clave

Food safety; Meteorological factors; Pastured poultry farm; Predictive models; Salmonella

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Salmonella / Salmonelosis Animal Tipo de estudio: Prevalence_studies / Prognostic_studies / Risk_factors_studies Aspecto: Ethics Límite: Animals País/Región como asunto: America do norte Idioma: En Revista: Sci Total Environ Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Países Bajos

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