TY - JOUR
T1 - Modeling the U.S. national distribution of waterborne pathogen concentrations with application to Cryptosporidium parvum
AU - Crainiceanu, Ciprian M.
AU - Stedinger, Jery R.
AU - Ruppert, David
AU - Behr, Christopher T.
PY - 2003/9
Y1 - 2003/9
N2 - This paper provides a general statistical methodology for modeling environmental pathogen concentrations in natural waters. A hierarchical model of pathogen concentrations captures site and regional random effects as well as random laboratory recovery rates. Recovery rates were modeled by a generalized linear mixed model. Two classes of pathogen concentration models are differentiated according to their ultimate purpose: water quality prediction or health risk analysis. A fully Bayesian analysis using Markov chain Monte Carlo (MCMC) simulation is used for statistical inference. The applicability of this methodology is illustrated by the analysis of a national survey of Cryptosporidium parvum concentrations, in which 93% of the observations were zero counts.
AB - This paper provides a general statistical methodology for modeling environmental pathogen concentrations in natural waters. A hierarchical model of pathogen concentrations captures site and regional random effects as well as random laboratory recovery rates. Recovery rates were modeled by a generalized linear mixed model. Two classes of pathogen concentration models are differentiated according to their ultimate purpose: water quality prediction or health risk analysis. A fully Bayesian analysis using Markov chain Monte Carlo (MCMC) simulation is used for statistical inference. The applicability of this methodology is illustrated by the analysis of a national survey of Cryptosporidium parvum concentrations, in which 93% of the observations were zero counts.
KW - Bayesian analysis
KW - Cryptosporidium parvum
KW - Generalized linear mixed model
KW - Markov Chain Monte Carlo
KW - Waterborne pathogens
UR - http://www.scopus.com/inward/record.url?scp=1542547152&partnerID=8YFLogxK
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U2 - 10.1029/2002WR001664
DO - 10.1029/2002WR001664
M3 - Article
AN - SCOPUS:1542547152
SN - 0043-1397
VL - 39
SP - SWC21-SWC215
JO - Water Resources Research
JF - Water Resources Research
IS - 9
ER -