Bayesian Modeling of Enteric Virus Density in Wastewater Using Left-Censored Data

Food and Environmental Virology

Volumn 5, Issue 4, 2013, Pages 185-193

  Kato, Tsuyoshi ^a,b   Miura, Takayuki ^c   Okabe, Satoshi ^c   Sano, Daisuke ^c  

^a GUNMA UNIVERSITY   (Japan)

^b OCHANOMIZU UNIVERSITY   (Japan)

^c HOKKAIDO UNIVERSITY   (Japan)

Author keywords

Bayesian model; Enteric virus density; Left censored data; Non detects; Predictive distribution; Wastewater

Indexed keywords

ACCURACY; ARTICLE; BAYES THEOREM; DENSITY; ENTERIC VIRUS; LIMIT OF QUANTITATION; NONHUMAN; OBSERVATION; PRIORITY JOURNAL; RISK ASSESSMENT; SAMPLE SIZE; STOCHASTIC MODEL; WASTE WATER MANAGEMENT;

EID: 84887410405     PISSN: 18670334     EISSN: 18670342     Source Type: Journal    
DOI: 10.1007/s12560-013-9125-1     Document Type: Article

References (26)

1. Bosch, A., Guix, S., Sano, D., & Pinto, R. M. (2008). New tools for the study and direct surveillance of viral pathogens in water. Current Opinion in Biotechnology, 19(3), 295-301.
2. Crainiceanu, C. M., Stedinger, J. R., Ruppert, D., & Behr, C. T. (2003). Modeling the U. S. national distribution of waterborne pathogen concentrations with application to Cryptosporidium parvum. Water Resources Research, 39(9), 1235-1249.
3. da Silva, A. K., Le Guyader, F. S., Le Saux, J.-C., Pommepuy, M., Montgomery, M. A., & Elimelech, M. (2008). Norovirus removal and particle association in a waste stabilization pond. Environmental Science and Technology, 42(24), 9151-9157.
4. Dorevitch, S., Pratap, P., Wroblewski, M., Hryhorczuk, D. O., Li, H., Liu, L. C., et al. (2012). Health risks of limited-contact water recreation. Environmental Health Perspectives, 120(2), 192-197.
5. Emelko, M. B., Schmidt, P. J., & Reilly, P. M. (2010). Particle and microorganism enumeration data: Enabling quantitative rigor and judicious interpretation. Environmental Science and Technology, 44(5), 1720-1727.
6. European Food Safety Authority (2010). Management of left-censored data in dietary exposure assessment of chemical substances. EFSA Journal, 8(3), 1557.
7. Haas, C. N., Rose, J. B., & Gerba, C. P. (1999). Quantitative microbial risk assessment. New York: Wiley.
8. Haramoto, E., Katayama, H., Oguma, K., & Ohgaki, S. (2007). Quantitative analysis of human enteric adenoviruses in aquatic environments. Journal of Applied Microbiology, 103(6), 2153-2159.
9. Helsel, D. R. (2006). Fabricating data: How substituting values for nondetects can ruin results, and what can be done about it. Chemosphere, 65, 2434-2439.
10. Kennedy, M. C. (2010). Bayesian modeling of long-term dietary intakes from multiple sources. Food and Chemical Toxicology, 48, 250-263.
11. Kennedy, M., & Hart, A. (2009). Bayesian modeling of measurement errors and pesticide concentration in dietary risk assessments. Risk Analysis, 29(10), 1427-1442.
12. Morales-Morales, H. A., Vidal, G., Olszewski, J., Rock, C. M., Dasgupta, D., Oshima, K. H., et al. (2003). Optimization of a reusable hollow-fiber ultrafilter for simultaneous concentration of enteric bacteria, protozoa, and viruses from water. Applied and Environmental Microbiology, 69(7), 4098-4102.
13. Paulo, M. J., van der Voet, H., Jansen, M. J. W., ter Braak, C. J. F., & van Klaveren, J. D. (2005). Risk assessment of dietary exposure to pesticides using a Bayesian method. Pest Management Science, 61, 759-766.
14. Perez-Sautu, U., Sano, D., Guix, S., Georg, K., Pinto, R. M., & Bosch, A. (2012). Human norovirus occurence and diversity in the Llobregat river catchment, Spain. Environmental Microbiology, 14(2), 494-502.
15. Petterson, S. R., Signor, R. S., & Ashbolt, N. J. (2007). Incorporating method recovery uncertainties in stochastic estimates of raw water protozoan concentrations for QMRA. Journal of Water and Health, 5(S1), 51-65.
16. Rutjes, S. A., van den Berg, H. H. J. L., Lodder, W. J., & de Roda Husman, A. M. (2006). Real-time detection of noroviruses in surface water by use of a broadly reactive nucleic acid sequence-based amplification assay. Applied and Environmental Microbiology, 72(8), 5349-5358.
17. Sano, D., Perez, U., Guix, S., Pinto, R. M., Miura, T., Okabe, S., et al. (2011). Quantification and genotyping of human sapoviruses in the Llobregat River catchment, Spain. Applied and Environmental Microbiology, 77(3), 1111-1114.
18. Schijven, J. F., Teunis, P. F. M., Rutjes, S. A., Bouwknegt, M., & de Roda Husman, A. M. (2011). QMRAspot: A tool for quantitative microbioal risk assessment from surface water to potable water. Water Research, 45(17), 5564-6676.
19. Schmidt, P. J., Emelko, M. B., & Reilly, P. M. (2010). Quantification of analytical recovery in particle and microorganism enumeration methods. Environmental Science and Technology, 44(5), 1705-1712.
20. Shuval, H. (2003). Estimating the global burden of thalassogenic diseases: Human infectious diseases caused by wastewater pollution of the marine environment. Journal of Water and Health, 1(2), 53-64.
21. Smeets, P. W. M. H., Dullemont, Y. J., van Gelder, P. H. A. J. M., van Dijk, J. C., & Medema, G. J. (2008). Improved methods for modelling drinking water treatment in quantitative microbial risk assessment: A case study of Campylobacter reduction by filtration and ozonation. Journal of Water and Health, 6(3), 301-314.
22. Smeets, P. W. M. H., van Dijk, J. C., Stanfield, G., Rietveld, L. C., & Medema, G. J. (2007). How can the UK statutory Cryptosporidium monitoring be used for quantitative risk assessment of Cryptosporidium in drinking water? Journal of Water and Health, 5(S1), 107-118.
23. Soller, J. A., Schoen, M. E., Bartrand, T., Ravenscroft, J. E., & Ashbolt, N. J. (2010). Estimated human health risks from exposure to recreational waters impacted by human and non-human sources of faecal contamination. Water Research, 44(16), 4674-4691.
24. Tanaka, H., Asano, T., Schroeder, E. D., & Tchobanoglous, G. (1998). Estimating the safety of wastewater reclamation and reuse enteric virus monitoring data. Water Environment Research, 70(1), 39-51.
25. Teunis, P. F. M., Xu, M., Freming, K. K., Yang, J., Moe, C. L., & Lechevallier, M. W. (2010). Enteric virus infection risk from intrusion of sewage into a drinking water distribution network. Environmental Science and Technology, 44(22), 8561-8566.
26. World Health Organization. (2011). Guidelines for drinking-water quality. Geneva: World Health Organization.