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Modeling and training to enhance resilience of the US food system to COVID-19 labor shortages

Investigators
Ivanek, Renata
Institutions
Cornell University
Start date
2020
End date
2022
Objective
The goal of this project is to identify optimal COVID-19 mitigation strategies and develop educational and training platforms for rapid implementation of those strategies. Specific objectives are to:Objective 1 RESEARCH: Use predictive mathematical modeling of COVID-19 spread, economic analysis and optimization to identify optimal mitigation strategies for labor intensive food processing facilities (produce, dairy, beef/pork and poultry) and produce farms;Objective 2 RESEARCH: Scale and implement the facility-specific models for produce, dairy, beef/pork and poultry food establishments, that allow for in-silico assessment of possible mitigation strategies in those specific facilities; and Objective 3 EXTENSION: Develop and deliver a comprehensive online interactive extension program on COVID-19 control strategies that includes open industry office hours.
Funding Source
Nat'l. Inst. of Food and Agriculture
Project source
View this project
Project number
NYCV478909
Accession number
1024254
Categories
Education and Training
Bacterial Pathogens
Sanitation and Quality Standards
Commodities
Meat, Poultry, Game