Conditional dose-response relationships for microorganisms: Development and application

Risk Analysis

Volumn 22, Issue 3, 2002, Pages 455-463

  Haas, Charles N ^a  

^a DREXEL UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DOSE-RESPONSE RELATIONSHIP; MICROORGANISM; RISK ASSESSMENT;

ARTICLE; CALCULATION; CONCENTRATION RESPONSE; DOSE RESPONSE; HOST PATHOGEN INTERACTION; HOST RESISTANCE; HUMAN; INFECTION; MATHEMATICAL ANALYSIS; MODEL; NONHUMAN; POISSON DISTRIBUTION; PROBABILITY; SURVIVAL RATE;

ANIMALS; COLONY COUNT, MICROBIAL; CRYPTOSPORIDIOSIS; CRYPTOSPORIDIUM; HUMANS; INFECTION; MODELS, BIOLOGICAL; RISK; WATER;

EID: 0036088407     PISSN: 02724332     EISSN: None     Source Type: Journal    
DOI: 10.1111/0272-4332.00035     Document Type: Article

References (36)

1. Estimation of risk due to low doses of microorganisms: A comparison of alternative methodologies
2. Risk assessment and the control of waterborne giardiasis
3. Use of microbial risk assessment in setting United States drinking water standards
4. Developments in microbiological risk assessment models for drinking water -A short review
5. Cryptosporidium in tap water: Comparison of predicted risks with observed levels of disease
6. The HACCP concept: Specification of criteria using quantitative risk assessment
7. Assessment of the dose-response relationship of campylobacter jejuni
8. Risk assessment and predictive microbiology
9. Development of a quantitative risk assessment model for salmonella enteritidis in pasteurized liquid eggs
10. Topics in microbial risk assessment: Dynamic flow tree analysis
11. A mathematical model for the infectivity-dilution curve of tobacco mosaic virus: Theoretical considerations
12. A mathematical model for the infectivity-dilution curve of tobacco mosaic virus: Experimental tests
13. The beta poisson dose-response model is not a single-hit model
14. Interpreting negative virus results from highly treated water
15. Bacterial density in water determined by poisson or negative binomial distributions
16. A statistician's view of the US primary drinking water regulation on coliform contamination
17. Frequency distributions for coliform bacteria in water
18. Analysis of two-way layout of count data with negative binomial variation
19. Student, On the error of counting with a haemacytometer
20. Application of inverse gaussian distribution to occupational exposure data
21. On a distribution law for word frequencies
22. Repeat-buying and the generalized inverse gaussian-poisson distribution
23. Statistical properties of the generalized inverse gaussian distribution
24. Duration dependence and dispersion in count-data models
25. Sydney's 1998 water quality crisis
26. New US EPA standard method for cryptosporidium analysis in water
27. Assessment of the risk of infection by cryptosporidium in drinking water from a surface water source
28. Commercial labs: How accurate are they
29. Testing to determine the underlying distribution using randomly censored data
30. Plots and tests for goodness of fit with randomly censored data
31. Log-normal distributions for water intake by children and adults
32. Infectivity of cryptosporidium parvum oocysts