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Journal of Toxicology and Environmental Health, Part A
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Volume 67, 2004 - Issue 8-10
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Original Articles

Predictive Population Dose-Response Assessment for Cryptosporidium parvum: Infection Endpoint

James D. Englehardt University of Miami, Coral Gables, Florida, USA
&
Jeff Swartout U.S. Environmental Protection Agency, Cincinnati, Ohio, USA
Pages 651-666 | Accepted 01 Nov 2003, Published online: 12 Aug 2010

Citations (10)

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Read on this site (2)

Zhuo Chen, Huu Hao Ngo & Wenshan Guo. (2013) Risk Control in Recycled Water Schemes. Critical Reviews in Environmental Science and Technology 43:22, pages 2439-2510.
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JeffreyJ. Iudicello & JamesD. Englehardt. (2009) A Predictive Bayesian Dose-Response Assessment for Evaluating the Toxicity of Carbon Nanotubes Relative to Crocidolite Using a Proposed Emergent Model. Human and Ecological Risk Assessment: An International Journal 15:6, pages 1168-1186.
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Articles from other publishers (8)

Frederick Bloetscher. 2022. Bayesian Inference - Recent Advantages. Bayesian Inference - Recent Advantages.
Danielle Medgyesi, Daniel Sewell, Reid Senesac, Oliver Cumming, Jane Mumma & Kelly K. Baker. (2019) The landscape of enteric pathogen exposure of young children in public domains of low-income, urban Kenya: The influence of exposure pathway and spatial range of play on multi-pathogen exposure risks. PLOS Neglected Tropical Diseases 13:3, pages e0007292.
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M. Angelica Echavarria-Gregory & James D. Englehardt. (2015) A predictive Bayesian data-derived multi-modal Gaussian model of sunken oil mass. Environmental Modelling & Software 69, pages 1-13.
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Ruochen Li, James D. Englehardt & Xiaoguang Li. (2011) A Gradient Markov Chain Monte Carlo Algorithm for Computing Multivariate Maximum Likelihood Estimates and Posterior Distributions: Mixture Dose‐Response Assessment. Risk Analysis 32:2, pages 345-359.
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Wei An, Dongqing Zhang, Shumin Xiao, Jianwei Yu & Min Yang. (2011) Quantitative Health Risk Assessment of Cryptosporidium in Rivers of Southern China Based on Continuous Monitoring . Environmental Science & Technology 45:11, pages 4951-4958.
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Paul Schmid-Hempel. (2008) Immune defence, parasite evasion strategies and their relevance for ‘macroscopic phenomena’ such as virulence. Philosophical Transactions of the Royal Society B: Biological Sciences 364:1513, pages 85-98.
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Donald G. Barceloux. 2008. Medical Toxicology of Natural Substances. Medical Toxicology of Natural Substances 191 201 .
James D. Englehardt & Jeff Swartout. (2006) Predictive Bayesian Microbial Dose-Response Assessment Based on Suggested Self-Organization in Primary Illness Response: Cryptosporidium parvum. Risk Analysis 26:2, pages 543-554.
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