IDEAS home Printed from https://ideas.repec.org/a/wly/riskan/v38y2018i8p1672-1684.html

Construction of a Dose–Illness Relationship via Modeling Morbidity and Application to Risk Assessment of Wastewater Reuse

Author

Listed:
  • Tingting Gao
  • Rong Chen
  • Yanzheng Liu
  • Xiaochang C. Wang
  • Yuyou Li

Abstract

A disease burden (DB) evaluation for environmental pathogens is generally performed using disability‐adjusted life years with the aim of providing a quantitative assessment of the health hazard caused by pathogens. A critical step in the preparation for this evaluation is the estimation of morbidity between exposure and disease occurrence. In this study, the method of a traditional dose–response analysis was first reviewed, and then a combination of the theoretical basis of a “single‐hit” and an “infection‐illness” model was performed by incorporating two critical factors: the “infective coefficient” and “infection duration.” This allowed a dose–morbidity model to be built for direct use in DB calculations. In addition, human experimental data for typical intestinal pathogens were obtained for model validation, and the results indicated that the model was well fitted and could be further used for morbidity estimation. On this basis, a real case of a water reuse project was selected for model application, and the morbidity as well as the DB caused by intestinal pathogens during water reuse was evaluated. The results show that the DB attributed to Enteroviruses was significant, while that for enteric bacteria was negligible. Therefore, water treatment technology should be further improved to reduce the exposure risk of Enteroviruses. Since road flushing was identified as the major exposure route, human contact with reclaimed water through this pathway should be limited. The methodology proposed for model construction not only makes up for missing data of morbidity during risk evaluation, but is also necessary to quantify the maximum possible DB.

Suggested Citation

  • Tingting Gao & Rong Chen & Yanzheng Liu & Xiaochang C. Wang & Yuyou Li, 2018. "Construction of a Dose–Illness Relationship via Modeling Morbidity and Application to Risk Assessment of Wastewater Reuse," Risk Analysis, John Wiley & Sons, vol. 38(8), pages 1672-1684, August.
  • Handle: RePEc:wly:riskan:v:38:y:2018:i:8:p:1672-1684
    DOI: 10.1111/risa.12963
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/risa.12963
    Download Restriction: no

    File URL: https://libkey.io/10.1111/risa.12963?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Charles N. Haas & Joan B. Rose & Charles Gerba & Stig Regli, 1993. "Risk Assessment of Virus in Drinking Water," Risk Analysis, John Wiley & Sons, vol. 13(5), pages 545-552, October.
    2. Peter F. M. Teunis & Cynthia L. Chappell & Pablo C. Okhuysen, 2002. "Cryptosporidium Dose‐Response Studies: Variation Between Hosts," Risk Analysis, John Wiley & Sons, vol. 22(3), pages 475-485, June.
    3. Peter F. M. Teunis & Nico J. D. Nagelkerke & Charles N. Haas, 1999. "Dose Response Models For Infectious Gastroenteritis," Risk Analysis, John Wiley & Sons, vol. 19(6), pages 1251-1260, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Régis Pouillot & Pascal Beaudeau & Jean‐Baptiste Denis & Francis Derouin & AFSSA Cryptosporidium Study Group, 2004. "A Quantitative Risk Assessment of Waterborne Cryptosporidiosis in France Using Second‐Order Monte Carlo Simulation," Risk Analysis, John Wiley & Sons, vol. 24(1), pages 1-17, February.
    2. S. R. Petterson, 2016. "Application of a QMRA Framework to Inform Selection of Drinking Water Interventions in the Developing Context," Risk Analysis, John Wiley & Sons, vol. 36(2), pages 203-214, February.
    3. 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, John Wiley & Sons, vol. 26(2), pages 543-554, April.
    4. Peter Teunis & Katsuhisa Takumi & Kunihiro Shinagawa, 2004. "Dose Response for Infection by Escherichia coli O157:H7 from Outbreak Data," Risk Analysis, John Wiley & Sons, vol. 24(2), pages 401-407, April.
    5. Hamilton, Andrew J. & Boland, Anne-Maree & Stevens, Daryl & Kelly, Jim & Radcliffe, John & Ziehrl, Angelika & Dillon, Peter & Paulin, Bob, 2005. "Position of the Australian horticultural industry with respect to the use of reclaimed water," Agricultural Water Management, Elsevier, vol. 71(3), pages 181-209, February.
    6. Laura X. Henao‐Herreño & Ana M. López‐Tamayo & Juan P. Ramos‐Bonilla & Charles N. Haas & Johana Husserl, 2017. "Risk of Illness with Salmonella due to Consumption of Raw Unwashed Vegetables Irrigated with Water from the Bogotá River," Risk Analysis, John Wiley & Sons, vol. 37(4), pages 733-743, April.
    7. Phillip M. Gurman & Tom Ross & Andreas Kiermeier, 2018. "Quantitative Microbial Risk Assessment of Salmonellosis from the Consumption of Australian Pork: Minced Meat from Retail to Burgers Prepared and Consumed at Home," Risk Analysis, John Wiley & Sons, vol. 38(12), pages 2625-2645, December.
    8. Timothy R. Julian & Robert A. Canales & James O. Leckie & Alexandria B. Boehm, 2009. "A Model of Exposure to Rotavirus from Nondietary Ingestion Iterated by Simulated Intermittent Contacts," Risk Analysis, John Wiley & Sons, vol. 29(5), pages 617-632, May.
    9. Arnout R. H. Fischer & Aarieke E. I. De Jong & Rob De Jonge & Lynn J. Frewer & Maarten J. Nauta, 2005. "Improving Food Safety in the Domestic Environment: The Need for a Transdisciplinary Approach," Risk Analysis, John Wiley & Sons, vol. 25(3), pages 503-517, June.
    10. Mary J. Bartholomew & David J. Vose & Linda R. Tollefson & Curtis C. Travis, 2005. "A Linear Model for Managing the Risk of Antimicrobial Resistance Originating in Food Animals," Risk Analysis, John Wiley & Sons, vol. 25(1), pages 99-108, February.
    11. Sido D. Mylius & Maarten J. Nauta & Arie H. Havelaar, 2007. "Cross‐Contamination During Food Preparation: A Mechanistic Model Applied to Chicken‐Borne Campylobacter," Risk Analysis, John Wiley & Sons, vol. 27(4), pages 803-813, August.
    12. Philip J. Schmidt & Katarina D. M. Pintar & Aamir M. Fazil & Edward Topp, 2013. "Harnessing the Theoretical Foundations of the Exponential and Beta‐Poisson Dose‐Response Models to Quantify Parameter Uncertainty Using Markov Chain Monte Carlo," Risk Analysis, John Wiley & Sons, vol. 33(9), pages 1677-1693, September.
    13. K. D. M. Pintar & A. Fazil & F. Pollari & D. Waltner‐Toews & D. F. Charron & S. A. McEwen & T. Walton, 2012. "Considering the Risk of Infection by Cryptosporidium via Consumption of Municipally Treated Drinking Water from a Surface Water Source in a Southwestern Ontario Community," Risk Analysis, John Wiley & Sons, vol. 32(7), pages 1122-1138, July.
    14. Baloch, Gohram & Gzara, Fatma & Elhedhli, Samir, 2023. "Risk-based allocation of COVID-19 personal protective equipment under supply shortages," European Journal of Operational Research, Elsevier, vol. 310(3), pages 1085-1100.
    15. Bradford W. Gutting & Andrey Rukhin & Ryan S. Mackie & David Marchette & Brandolyn Thran, 2015. "Evaluation of Inhaled Versus Deposited Dose Using the Exponential Dose‐Response Model for Inhalational Anthrax in Nonhuman Primate, Rabbit, and Guinea Pig," Risk Analysis, John Wiley & Sons, vol. 35(5), pages 811-827, May.
    16. Lailai Chen & Helena Geys & Shaun Cawthraw & Arie Havelaar & Peter Teunis, 2006. "Dose Response for Infectivity of Several Strains of Campylobacter jejuni in Chickens," Risk Analysis, John Wiley & Sons, vol. 26(6), pages 1613-1621, December.
    17. Anna Makri & Reza Modarres & Rebecca Parkin, 2004. "Cryptosporidiosis Susceptibility and Risk: A Case Study," Risk Analysis, John Wiley & Sons, vol. 24(1), pages 209-220, February.
    18. Hetty Blaak & Gretta Lynch & Ronald Italiaander & Raditijo A Hamidjaja & Franciska M Schets & Ana Maria de Roda Husman, 2015. "Multidrug-Resistant and Extended Spectrum Beta-Lactamase-Producing Escherichia coli in Dutch Surface Water and Wastewater," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-16, June.
    19. Thomas Oscar, 2004. "Dose‐Response Model for 13 Strains of Salmonella," Risk Analysis, John Wiley & Sons, vol. 24(1), pages 41-49, February.
    20. Tucker Burch, 2019. "Validation of Quantitative Microbial Risk Assessment Using Epidemiological Data from Outbreaks of Waterborne Gastrointestinal Disease," Risk Analysis, John Wiley & Sons, vol. 39(3), pages 599-615, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:riskan:v:38:y:2018:i:8:p:1672-1684. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1539-6924 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.