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Animal Antibiotic Use and Human Health: No Expert Judgment is Needed to Determine that Reducing Cases Reduces Risk

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  • Louis Anthony Cox

Abstract

In his comments on our Rapid Risk Rating Technique (RRRT), Dr. Claycamp states that “Cox and Popken were silent on the pivotal expert judgment subsumed in their method: quality weights for illnesses caused by antimicrobial‐resistant and antimicrobial‐sensitive microbes are tacitly assumed to be equal.” However, contrary to this comment, we explicitly provide separate quality weights for antimicrobial‐resistant and antimicrobial‐sensitive illnesses (with different values, based on QALYs lost per illness, illustrated in our article). Thus, our model already addresses Dr. Claycamp's central concern. Moreover, since withdrawing macrolides and fluoroquinolones from use as animal antibiotics is projected to cause more of both types of illnesses—antimicrobial‐resistant and antimicrobial‐sensitive—than continuing to use them would, our conclusion that such withdrawals would be poor public health policy is completely robust to changes in the quality weights. Our human health impacts assessment is therefore indeed immune from the “expert judgments in risk management” discussed by Dr. Claycamp.

Suggested Citation

  • Louis Anthony Cox, 2006. "Animal Antibiotic Use and Human Health: No Expert Judgment is Needed to Determine that Reducing Cases Reduces Risk," Risk Analysis, John Wiley & Sons, vol. 26(1), pages 157-161, February.
    • Handle: RePEc:wly:riskan:v:26:y:2006:i:1:p:157-161
    DOI: 10.1111/j.1539-6924.2006.00725.x
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    References listed on IDEAS

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    1. Louis A. Cox & Douglas A. Popken, 2004. "Quantifying Human Health Risks from Virginiamycin Used in Chickens," Risk Analysis, John Wiley & Sons, vol. 24(1), pages 271-288, February.
    2. Louis Anthony Cox & Douglas A. Popken, 2004. "Bayesian Monte Carlo Uncertainty Analysis of Human Health Risks from Animal Antimicrobial Use in a Dynamic Model of Emerging Resistance," Risk Analysis, John Wiley & Sons, vol. 24(5), pages 1153-1164, October.
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