Modeling could optimize COVID-19 control in food plants

Researchers hope to develop better safety management strategies to keep workers safe while maintaining best possible production.

Cornell University researchers are using computer modeling to help develop better management strategies to keep food plant workers safe from the COVID-19 pandemic.

“COVID-19 has obviously had a huge impact on the whole world. Transmission and infections happen in both communities and work environments. From that point of view, the work environment in food production is no exception,” explained project principal investigator Renata Ivanek, associate professor in the College of Veterinary Medicine's Department of Population Medicine and Diagnostic Sciences.

Earlier this year, numerous meat and poultry processing facilities were forced to slow or even stop operations to prevent the spread of the COVID-19 pandemic after outbreaks in workers occurred.

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