IDEAS home Printed from https://ideas.repec.org/a/wly/riskan/v31y2011i1p120-128.html
   My bibliography  Save this article

Dose‐Response Model of Coxiella burnetii (Q Fever)

Author

Listed:
  • Sushil B. Tamrakar
  • Anne Haluska
  • Charles N. Haas
  • Timothy A. Bartrand

Abstract

Q fever is a zoonotic disease caused by the intracellular gram‐negative bacterium Coxiella burnetii (C. burnetii), which only multiplies within the phagolysosomal vacuoles. Q fever may manifest as acute or chronic disease. The acute form is generally not fatal and manifestes as self‐controlled febrile illness. Chronic Q fever is usually characterized by endocarditis. Many animal models, including humans, have been studied for Q fever infection through various exposure routes. The studies considered different endpoints including death for animal models and clinical signs for human infection. In this article, animal experimental data available in the open literature were fit to suitable dose‐response models using maximum likelihood estimation. Research results for tests of severe combined immunodeficient mice inoculated intraperitoneally (i.p.) with C. burnetii were best estimated with the Beta‐Poisson dose‐response model. Similar inoculation (i.p.) trial outcomes conducted on C57BL/6J mice were best fit by an exponential model, whereas those tests run on C57BL/10ScN mice were optimally represented by a Beta‐Poisson dose‐response model.

Suggested Citation

  • Sushil B. Tamrakar & Anne Haluska & Charles N. Haas & Timothy A. Bartrand, 2011. "Dose‐Response Model of Coxiella burnetii (Q Fever)," Risk Analysis, John Wiley & Sons, vol. 31(1), pages 120-128, January.
    • Handle: RePEc:wly:riskan:v:31:y:2011:i:1:p:120-128
    DOI: 10.1111/j.1539-6924.2010.01466.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1539-6924.2010.01466.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1539-6924.2010.01466.x?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. Christel Faes & Marc Aerts & Helena Geys & Geert Molenberghs, 2007. "Model Averaging Using Fractional Polynomials to Estimate a Safe Level of Exposure," Risk Analysis, John Wiley & Sons, vol. 27(1), pages 111-123, February.
    2. 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. K. Hoelzer & Y. Chen & S. Dennis & P. Evans & R. Pouillot & B. J. Silk & I. Walls, 2013. "New Data, Strategies, and Insights for Listeria monocytogenes Dose‐Response Models: Summary of an Interagency Workshop, 2011," Risk Analysis, John Wiley & Sons, vol. 33(9), pages 1568-1581, September.
    2. A. H. Havelaar & A. N. Swart, 2014. "Impact of Acquired Immunity and Dose‐Dependent Probability of Illness on Quantitative Microbial Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 34(10), pages 1807-1819, October.
    3. Walter W. Piegorsch & Hui Xiong & Rabi N. Bhattacharya & Lizhen Lin, 2014. "Benchmark Dose Analysis via Nonparametric Regression Modeling," Risk Analysis, John Wiley & Sons, vol. 34(1), pages 135-151, January.
    4. Yin Huang & Charles N. Haas, 2009. "Time‐Dose‐Response Models for Microbial Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 29(5), pages 648-661, May.
    5. Edsel A. Peña & Wensong Wu & Walter Piegorsch & Ronald W. West & LingLing An, 2017. "Model Selection and Estimation with Quantal‐Response Data in Benchmark Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 37(4), pages 716-732, April.
    6. 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.
    7. 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.
    8. Nicole C. J. Brienen & Aura Timen & Jacco Wallinga & Jim E. Van Steenbergen & Peter F. M. Teunis, 2010. "The Effect of Mask Use on the Spread of Influenza During a Pandemic," Risk Analysis, John Wiley & Sons, vol. 30(8), pages 1210-1218, August.
    9. Matthew W. Wheeler & Todd Blessinger & Kan Shao & Bruce C. Allen & Louis Olszyk & J. Allen Davis & Jeffrey S Gift, 2020. "Quantitative Risk Assessment: Developing a Bayesian Approach to Dichotomous Dose–Response Uncertainty," Risk Analysis, John Wiley & Sons, vol. 40(9), pages 1706-1722, September.
    10. 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.
    11. Steven B. Kim & Ralph L. Kodell & Hojin Moon, 2014. "A Diversity Index for Model Space Selection in the Estimation of Benchmark and Infectious Doses via Model Averaging," Risk Analysis, John Wiley & Sons, vol. 34(3), pages 453-464, March.
    12. 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.
    13. 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.
    14. 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.
    15. Signe M. Jensen & Felix M. Kluxen & Christian Ritz, 2019. "A Review of Recent Advances in Benchmark Dose Methodology," Risk Analysis, John Wiley & Sons, vol. 39(10), pages 2295-2315, October.
    16. Régis Pouillot* & Karin Hoelzer & Yuhuan Chen & Sherri B. Dennis, 2015. "Listeria monocytogenes Dose Response Revisited—Incorporating Adjustments for Variability in Strain Virulence and Host Susceptibility," Risk Analysis, John Wiley & Sons, vol. 35(1), pages 90-108, January.
    17. Louis A. Cox & Douglas A. Popken, 2004. "Quantifying Human Health Risks from Virginiamycin Used in Chickens," Risk Analysis, John Wiley & Sons, vol. 24(1), pages 271-288, February.
    18. Matthew Wheeler & A. John Bailer, 2012. "Monotonic Bayesian Semiparametric Benchmark Dose Analysis," Risk Analysis, John Wiley & Sons, vol. 32(7), pages 1207-1218, July.
    19. 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.
    20. Hanan Smadi & Jan M. Sargeant, 2013. "Quantitative Risk Assessment of Human Salmonellosis in Canadian Broiler Chicken Breast from Retail to Consumption," Risk Analysis, John Wiley & Sons, vol. 33(2), pages 232-248, February.

    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:31:y:2011:i:1:p:120-128. 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.