Bayesian network for risk of diarrhea associated with the use of recycled water

Risk Analysis

Volumn 29, Issue 12, 2009, Pages 1672-1685

  Donald, Margaret ^a   Cook, Angus ^b   Mengersen, Kerrie ^a  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

^b UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

Author keywords

Bayesian nets; Credible intervals; Expert opinion; Gastroenteritis; Recycled water

Indexed keywords

BAYESIAN; BAYESIAN NETS; CONCEPTUAL MODEL; CREDIBLE INTERVAL; EXPERT OPINION; EXPERT'S OPINION; MODEL PREDICTION; MULTIPLE FACTORS; POTENTIAL HEALTH; RECYCLED WATER; RECYCLED WATER QUALITY; RELATIVE RISKS;

BAYESIAN NETWORKS; FORECASTING; HEALTH RISKS; INFERENCE ENGINES; RISK PERCEPTION; WASTEWATER RECLAMATION; WATER POLLUTION; WATER QUALITY; WATER RECYCLING;

HYDRAULIC MODELS;

WATER;

BAYESIAN ANALYSIS; CONCEPTUAL FRAMEWORK; DIARRHEAL DISEASE; GASTROENTERITIS; RECYCLING; WATER QUALITY; WATER TREATMENT;

ARTICLE; BAYES THEOREM; DIARRHEA; GASTROENTERITIS; HEALTH HAZARD; MATHEMATICAL MODEL; MICROBIAL CONTAMINATION; RECYCLING; RISK ASSESSMENT; WATER CONTAMINATION; WATER QUALITY;

BAYES THEOREM; CONSERVATION OF NATURAL RESOURCES; DIARRHEA; GASTROENTERITIS; HUMANS; MODELS, THEORETICAL; RISK ASSESSMENT; WATER MICROBIOLOGY; WATER PURIFICATION; WATER SUPPLY;

EID: 72249116698     PISSN: 02724332     EISSN: 15396924     Source Type: Journal    
DOI: 10.1111/j.1539-6924.2009.01301.x     Document Type: Article

References (37)

1. Anderson JM. AWA water recycling forum position paper: Water recycling to meet our water needs. In Khan SJ, Stuetz RM, Anderson JM (eds). Water Reuse and Recycling 2007. Sydney : UNSW Publishing & Printing Services, 2007.
2. Asano T. Wastewater reclamation and reuse. In Takashi A (ed). Water Quality Management Library. Vol 10. Lancaster, PA : Technomic Pub., 1998.
3. Snow J. On the Mode of Communication of Cholera. London : John Churchill, 1849.
4. Snow J. On the Mode of Communication of Cholera, 2nd ed. London : John Churchill, 1855.
5. Nadebaum P, Chapman M, Morden R, Rizak S. A guide to hazard identification & risk assessment for drinking water supplies. Technical report, CRC for Water Quality and Treatment, 2004.
6. Roser D, Petterson SR, Signor R, Ashbolt NJ. How to implement QMRA? To estimate baseline and hazardous event risks with management end uses in mind. Technical report, MicroRisk project co-funded by the European Commission under the Fifth Framework Programme, Theme 4: "Energy, environment and sustainable development" (contract EVK1-CT-2002-00123), 2006.
7. Ashbolt NJ, Petterson SR, Stenstrom TA, Schonning C, Westrell T, Ottoson J. Microbial risk assessment (MRA) tool. Technical report 2005:7, Chalmers University of Technology, 2005.
8. Haas C, Eisenberg JN. Risk assessment. Chapter 8 in Fewtrell L, Bartram J (eds). Water Quality: Guidelines, Standards and Health. Geneva : World Health Organisation, 2001.
9. Cowell RG, Dawid AP, Lauritzen SL, Spiegelhalter DJ. Probabilistic Networks and Expert Systems. New York : Springer, 2001.
10. Korb KB, Nicholson AE. Bayesian Artificial Intelligence. London : CRC Press, 2004.
11. Hamilton GS, Fielding F, Chiffings AW, Hart BT, Johnstone RW, Mengersen KL. Investigating the use of a Bayesian network to model the risk of Lyngbya majuscula bloom initiation in Deception Bay, Queensland. Ecological Risk Assessment, 2008 13 (6 1271 1287.
12. Nicholson A, Watson S, Twardy C. Using Bayesian networks for water quality prediction in Sydney Harbour, 2003. Available at : http://www.csse. monash.edu.au/bai/talks/NSWDEC.ppt, Accessed on March 27, 2008.
13. Pollino CA, Hart BT. Bayesian approaches can help make better sense of ecotoxicological information in risk assessments. Australian Journal of Ecotoxicology, 2005 11 : 57 58.
14. Pollino CA, Hart BT. Bayesian decision networks - Going beyond expert elicitation for parameterisation and evaluation of ecological endpoints. In Voinov A, Jakeman A, Rizzoli A (eds). Third Biennial Meeting: Summit on Environmental Modelling and Software. Burlington, USA, 2005. Available at : http://www.iemss.org/iemss2006/sessions/all.html, Accessed on March 29, 2008.
15. Pollino CA, Woodberry O, Nicholson AE, Korb KB, Hart BT. Parameterisation and evaluation of a Bayesian network for use in an ecological risk assessment. Environmental Modelling and Software, 2007 22 : 1140 1152.
16. Pike WA. Modeling drinking water quality violations with Bayesian networks. Journal of the American Water Resources Association, 2004 40 (6 1563 1578.
17. Varis O. Belief networks for modelling and assessment of environmental change. Environmetrics, 1995 6 : 439 444.
18. Varis O. Bayesian decision analysis for environmental and resource management. Environmental Modelling and Software, 1997 12 (2-3 177 185.
19. Varis O. A belief network approach to optimization and parameter estimation: Application to resource and environmental management. Artificial Intelligence, 1998 101 (1-2 135 163.
20. Natural Resource Management Ministerial Council, Environment Protection and Heritage Council, Australian Health Ministers Conference. Australian guidelines for water recycling: Managing health and environmental risks (Phase 1). 2006. Available at http://www.ephc.gov.au/pdf/water/ WaterRecyclingGuidelines-02-Nov06-.pdf, Accessed on March 29, 2008.
21. Hugin Expert A/S. Hugin 6.9. 2009. Available at http://www.hugin.com, Accessed on February 15, 2008.
22. Norsys Software Corp. Netica 3.25. 2007. Available at http://www.norsys.com, Accessed February 15, 2008.
23. Lunn DJ, Thomas A, Best N, Spiegelhalter DJ. Winbugs - A Bayesian modelling framework: Concepts, structure, and extensibility. Statistics and Computing, 2000 10 (4 325 337.
24. Spiegelhalter DJ, Harris NL, Bull K, Franklin RCG. Empirical-evaluation of prior beliefs about frequencies - Methodology and a case-study in congenital heart-disease. Journal of the American Statistical Association, 1994 89 (426 435 443.
25. Australia Population Pyramid for 2000. Available at http://www. nationmaster.com/country/as-australia/Age--distribution, Accessed August 25, 2008.
26. Pearl J. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. San Mateo, CA : Morgan Kaufmann Publishers, 1998.
27. Spiegelhalter DJ. A unified approach to imprecision and sensitivity of beliefs in expert systems. In Kanal LN (ed). Uncertainty in Artificial Intelligence 3. North Holland : Elsevier Science Publishers B.V., 1989.
28. MacKenzie W, Hoxie NJ, Proctor ME, Gradus MS, Blair KA, Peterson DE, Kazmierczak JJ, Addiss DG, Fox KR, Rose JB, Davis JP. A massive outbreak in Milwaukee of cryptosporidium infection transmitted through the public water supply. New England Journal of Medicine, 1994 331 (3 161 167.
29. MacKenzie WR, Schell WL, Blair KA, Addiss DG, Peterson DE, Hoxie NJ, Kazmierczak JJ, Davis JP. A massive outbreak of waterborne cryptosporidium infection in Milwaukee, Wisconsin: Recurrence of illness and risk of secondary transmission. Clinical Infectious Diseases, 1995 21 : 57 62.
30. Eisenberg J, Seto E, Olivieri A, Spear R. Quantifying water pathogen risk in an epidemiological framework. Risk Analysis, 1996 16 : 549 563.
31. Eisenberg JNS, Seto EYW, Colford Jr., JM, Olivieri A, Spear RC. An analysis of the Milwaukee cryptosporidiosis outbreak based on a dynamic model of the infection process. Epidemiology, 1998 9 (3 255 263.
32. Haas CN, Rose JB, Gerba CP. Quantitative Microbial Risk Assessment. New York : Wiley, 1999.
33. Arrowood MJ, Lammie PJ, Priest JW, Addiss DG, Hurd MR, MacKenzie WR, McDonald AC, Gradus MS, Linke G, Zembrowski E. Cryptosporidium parvum-specific antibody responses among children residing in Milwaukee during the 1993 waterborne outbreak. Journal of Infectious Diseases, 2001 183 (9 1373 1378.
34. Brookhart MA, Hubbard AE, Van Der Laan MJ, Colford JM, Eisenberg JNS. Statistical estimation of parameters in a disease transmission model: Analysis of a cryptosporidium outbreak. Statistics in Medicine, 2002 21 : 3627 3638.
35. Signor RS. Probabilistic microbial risk assessment & management implications for urban water supply systems. PhD thesis, UNSW, 2007.
36. National Notifiable Diseases Surveillance System. National Notifiable Diseases Surveillance System. 2009. Available at http://www9.health.gov.au/cda/ Source/CDA-index.cfm, Accessed May 14, 2009.
37. World Health Organization. ICD-10 Classification of Diseases. 2008. Available at http://www.cdc.gov/nchs/data/dvs/2008Vol1.pdf, Accessed April 10, 2008.