SARS-COV-2 IMPACT ON MEAT PRODUCTION: A FARM TO PLATE APPROACH

  • Funded by USDA-National Institute of Food and Agriculture (USDA - NIFA)
  • Total publications:0 publications

Grant number: 2020-06334

Grant search

Key facts

  • Disease

    COVID-19
  • Start & end year

    2020
    2022
  • Known Financial Commitments (USD)

    $1,000,000
  • Funder

    USDA-National Institute of Food and Agriculture (USDA - NIFA)
  • Principal Investigator

    Unspecified S and AM and GR Chitlapilly Dass and Brown and Lamb
  • Research Location

    United States of America
  • Lead Research Institution

    Texas A&M University
  • Research Priority Alignment

    N/A
  • Research Category

    Pathogen: natural history, transmission and diagnostics

  • Research Subcategory

    Environmental stability of pathogen

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

NON-TECHNICAL SUMMARY: The goal of this cross-disciplinary project is to assess the impact of SARS-CoV-2 on meatproduction. The current pandemic has interrupted the meat industry, creating bottleneckseverywhere in the chain from farms to consumers, resulting in much smaller production outputs andhigher prices for all parties involved. Here, we will examine and mitigate these bottlenecksthroughout this chain, in order to maximize safety and minimize SARS-CoV-2 exposure toconsumers and the meat production workforce. Combining expertise in microbiology, animalsciences and biophysics, we will (1) investigate the susceptibility and transmission of SARS-CoV2in beef cattle, (2) compare and characterize the impact of SARS-CoV-2 on the different zones ofmeat processing and packaging plants (3) determine the survival of SARS-CoV-2 on meat andpackaging material during transportation and in retail conditions and, (4) develop a mathematicalmodel to predict the potential that food contamination with SARS-CoV-2 based on experimentalobservations. These objectives will be addressed experimentally using a combination of beef cattle susceptibility test, omics,microscopic and microfluidic techniques, supported by large-scale mathematical modelling. Theresult of the project will provide key information about the risk of SARS-CoV-2 infection, impacton beef consumers, and effect on personnel across the meat industry including farmers, processors,packers and retailers. We will generate white papers and educational videos based on our findingsand disseminate it to our stakeholders.