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Cryptosporidium Dose Response Studies: Variation Between Isolates

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  • Peter F. M. Teunis
  • Cynthia L. Chappell
  • Pablo C. Okhuysen

Abstract

The infectivity of three different isolates of the waterborne protozoan parasite Cryptosporidium parvum has been tested in human feeding studies. These three isolates (Iowa, TAMU, and UCP) have different ID50s, indicating substantial variation in their infectivity for humans. This finding is of great importance for quantitative risk assessment as it provides strong evidence for heterogeneity in infectivity among isolates of the same species.

Suggested Citation

  • Peter F. M. Teunis & Cynthia L. Chappell & Pablo C. Okhuysen, 2002. "Cryptosporidium Dose Response Studies: Variation Between Isolates," Risk Analysis, John Wiley & Sons, vol. 22(1), pages 175-185, February.
    • Handle: RePEc:wly:riskan:v:22:y:2002:i:1:p:175-185
    DOI: 10.1111/0272-4332.00014
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    References listed on IDEAS

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    1. P. F. M. Teunis & A. H. Havelaar, 2000. "The Beta Poisson Dose‐Response Model Is Not a Single‐Hit Model," Risk Analysis, John Wiley & Sons, vol. 20(4), pages 513-520, August.
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    Cited by:

    1. K. D. M. Pintar & A. Fazil & F. Pollari & D. Waltner‐Toews & D. F. Charron & S. A. McEwen & T. Walton, 2012. "Considering the Risk of Infection by Cryptosporidium via Consumption of Municipally Treated Drinking Water from a Surface Water Source in a Southwestern Ontario Community," Risk Analysis, John Wiley & Sons, vol. 32(7), pages 1122-1138, July.
    2. Lailai Chen & Helena Geys & Shaun Cawthraw & Arie Havelaar & Peter Teunis, 2006. "Dose Response for Infectivity of Several Strains of Campylobacter jejuni in Chickens," Risk Analysis, John Wiley & Sons, vol. 26(6), pages 1613-1621, December.
    3. Frederick Bloetscher & Daniel Meeroff & Sharon C. Long & Jeanine D. Dudle, 2020. "Demonstrating the Benefits of Predictive Bayesian Dose–Response Relationships Using Six Exposure Studies of Cryptosporidium parvum," Risk Analysis, John Wiley & Sons, vol. 40(11), pages 2442-2461, November.
    4. Régis Pouillot & Pascal Beaudeau & Jean‐Baptiste Denis & Francis Derouin & AFSSA Cryptosporidium Study Group, 2004. "A Quantitative Risk Assessment of Waterborne Cryptosporidiosis in France Using Second‐Order Monte Carlo Simulation," Risk Analysis, John Wiley & Sons, vol. 24(1), pages 1-17, February.
    5. S. R. Petterson, 2016. "Application of a QMRA Framework to Inform Selection of Drinking Water Interventions in the Developing Context," Risk Analysis, John Wiley & Sons, vol. 36(2), pages 203-214, February.
    6. Vegard Nilsen & John Wyller, 2016. "QMRA for Drinking Water: 1. Revisiting the Mathematical Structure of Single‐Hit Dose‐Response Models," Risk Analysis, John Wiley & Sons, vol. 36(1), pages 145-162, January.
    7. Peter Teunis & Katsuhisa Takumi & Kunihiro Shinagawa, 2004. "Dose Response for Infection by Escherichia coli O157:H7 from Outbreak Data," Risk Analysis, John Wiley & Sons, vol. 24(2), pages 401-407, April.
    8. Anna Makri & Reza Modarres & Rebecca Parkin, 2004. "Cryptosporidiosis Susceptibility and Risk: A Case Study," Risk Analysis, John Wiley & Sons, vol. 24(1), pages 209-220, February.
    9. Michael J. Messner & Philip Berger, 2016. "Cryptosporidium Infection Risk: Results of New Dose‐Response Modeling," Risk Analysis, John Wiley & Sons, vol. 36(10), pages 1969-1982, October.

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