@article {pbb,
	title = {Q fever},
	journal = {The Lancet},
	volume = {367},
	number = {9511},
	year = {2006},
	month = {February},
	pages = {679-688},
	doi = {10.1016/S0140-6736(06)68266-4},
	url = {Http//:www.sciencedirect.com/science/article/pii/S0140673606682664},
	author = {Parker, N. R. and Barralet, J. H. and Bell, A. M.}
}
@book {s12,
	title = {Q Fever},
	year = {2012},
	url = {http://emedicine.medscape.com/article/227156-overview$\#$a0156},
	author = {Struble, K. Cunha B.}
}
@article {1513,
	title = {Q fever: a biological weapon in your backyard},
	journal = {The Lancet Infectious Diseases},
	volume = {3},
	year = {2003},
	chapter = {pp. 709-721},
	author = {Madariaga, M G and K Rezai and G M Trenholme and R A Weinstein}
}
@article {1530,
	title = {Q fever epidemiology and pathogenesis},
	journal = {Microbes and Infection},
	volume = {2},
	year = {2000},
	chapter = {pp. 417-424},
	author = {Norlander, L}
}
@article {hwmt08,
	title = {Q Fever: Epidemiology, Diagnosis, and Treatment},
	journal = {Mayo Clinic Proceedings},
	volume = {83},
	year = {2008},
	pages = {574-579},
	doi = {10.4065/83.5.574},
	url = {http://download.journals.elsevierhealth.com/pdfs/journals/0025-6196/PIIS0025619611607337.pdf},
	author = {Hartzell, J. D. and Wood-Morris, R. N. and Martinez, L. J. and Trotta, R. F.}
}
@article {1509,
	title = {Q fever in the Netherlands: a concise overview and implications of the largest ongoing outbreak},
	journal = {The Netherlands Journal of Medicine},
	volume = {66},
	year = {2008},
	author = {Delsing, C E and Kullberg, B J}
}
@article {1548,
	title = {Q Fever Outbreak in Industrial Setting},
	journal = {Emerging Infectious Disease},
	volume = {10},
	year = {2004},
	author = {Hugo C van Woerden and Brendan W Mason and Lika K Nehaul and Robert Smith and Roland L Salmon and Brendan Healy and Manoj Valappil and Diana Westmoreland and Sarah de Martin and Meirion R Evans and Graham Lloyd and Marysia Hamilton-Kirkwood and Nina S Williams}
}
@article {1532,
	title = {Q fever: queries remaining after decades of research},
	journal = {Emerging infections 5},
	year = {2001},
	chapter = {pp. 29-56},
	author = {Raoult, D and J-L Mege and T Marrie}
}
@article {1531,
	title = {Q fever review},
	journal = {Veterinary Microbiology},
	volume = {140},
	year = {2010},
	chapter = {pp. 297-309},
	author = {Raoult, D and Angelakis, E}
}
@booklet {1508,
	title = {Q fever: the Answer is Blowing in the Wind},
	year = {2009},
	author = {De Bruin, A}
}
@article {1401,
	title = {Quality of market Paneer in Agra City.},
	year = {2000},
	url = {https://www.researchgate.net/publication/228084422_Studies_on_quality_evaluation_of_market_paneer},
	author = {SP Singh and KP Singh}
}
@article {1820,
	title = {Quantification of the {Effects} of {Age} on the {Dose} {Response} of {{Variola} major in {Suckling} {Mice}},
	journal = {Human and Ecological Risk Assessment: An International Journal},
	volume = {15},
	year = {2009},
	pages = {1245{\textendash}1256},
	abstract = {<p>Dose-response data for Variola major (V. major), the causative agent of smallpox, were obtained from the open literature, summarized, and fitted with three doseresponse models. It is known from prior outbreak experience that there is generally a difference in infectivity of the agent and its subsequent mortality depending on the age of the patient. A source of animal dose-response data were found with age delineation for the exposure group (suckling mice, intraperitoneal exposure). This delineation was used to adapt current dose-response models to include an age dependency parameter. The degree of the models{\textquoteright} fit to the data was ascertained using maximum likelihood estimation (MLE). The effect of host age could be described quantitatively using modifications to the beta Poisson and exponential dose-response models. The modifications improvement in the accuracy of risk prediction by 72\% for the beta Poisson model and 7\% for the exponential model, compared to the original (unmodified) models.</p>
},
	issn = {1080-7039, 1549-7860},
	doi = {10.1080/10807030903304906},
	url = {http://www.tandfonline.com/doi/full/10.1080/10807030903304906},
	author = {Weir, Mark H. and Haas, Charles N.}
}
@article {1808,
	title = {Quantification of the Effects of Age on the Dose Response of Variola major in Suckling Mice},
	journal = {Human and Ecological Risk Assessment},
	volume = {15},
	year = {2009},
	pages = {1245{\textendash}1256},
	author = {Weir, Mark H and Haas, Charles N}
}
@article {1528,
	title = {Quantifying the burden of disease: the technical basis for disability-adjusted life years},
	journal = {Bulletin of the World Health Organization},
	volume = {72},
	year = {1994},
	chapter = {pp. 429-445},
	author = {Murray, C J L}
}
@article {1493,
	title = {Quantifying water pathogen risk in an epidemiological framework},
	journal = {Risk Analysis},
	volume = {16},
	year = {1996},
	chapter = {pp. 549-563},
	author = {Eisenberg, J N and Seto, E Y W and Olivieri, A W and Spear, R C}
}
@article {1522,
	title = {Quantitative Assessment of Acceptable Levels of Virus Discharge from Cruise Ships in Puget Sound},
	year = {2007},
	institution = {Washington Department of Health},
	author = {Meschke, J S and Kissel, J C}
}
@article {1629,
	title = {Quantitative estimation of the viability of Toxoplasma gondii oocysts in soil},
	journal = {Applied and Environmental Microbiology},
	volume = {78},
	year = {2012},
	chapter = {pp. 5127-5132},
	author = {L{\'e}lu, M and Villena, I and Dard{\'e}, M L and Aubert, D and Geers, R and Dupuis, E and Marnef, F and Poulle, M L and Gotteland, C and Dum{\`e}tre, A and Gilot-Fromont, E}
}
@book {1622,
	title = {Quantitative microbial risk assessment},
	year = {1999},
	publisher = {John Wiley \& Sons},
	organization = {John Wiley \& Sons},
	author = {Haas, C N and Rose, J B and Gerba, C P}
}
@book {1807,
	title = {Quantitative Microbial Risk Assessment},
	year = {2014},
	publisher = {John Wiley \& Sons},
	organization = {John Wiley \& Sons},
	abstract = {<p>Provides the latest QMRA methodologies to determine infection risk cause by either accidental microbial infections or deliberate infections caused by terrorism {\textbullet}\&nbsp;Reviews the latest methodologies to quantify at every step of the microbial exposure pathways, from the first release of a pathogen to the actual human infection {\textbullet}\&nbsp;Provides techniques on how to\&nbsp; gather information, on how each microorganism moves through the environment, how to determine their survival rates on various media, and how people are exposed to the microorganism {\textbullet}\&nbsp;Explains how QMRA can be used as a tool to measure the impact of interventions and identify the best policies and practices to protect public health and safety {\textbullet}\&nbsp;Includes new information on genetic methods {\textbullet}\&nbsp;Techniques use to develop risk models for drinking water, groundwater, recreational water, food and pathogens in the indoor environment</p>
},
	isbn = {978-1-118-14529-6},
	author = {Haas, Charles N. and Rose, Joan B. and Gerba, Charles P.}
}
@book {haas1999quantitative,
	title = {Quantitative microbial risk assessment},
	year = {1999},
	publisher = {John Wiley \& Sons},
	organization = {John Wiley \& Sons},
	author = {Haas, Charles N and Rose, Joan B and Gerba, Charles P}
}
@book {1454,
	title = {Quantitative microbial risk assessment},
	year = {1999},
	publisher = {John Wiley and Sons},
	organization = {John Wiley and Sons},
	author = {Haas, C N and Rose, J B and Gerba, C P}
}
@mastersthesis {a05,
	title = {A quantitative microbial risk assessment model for human inhalation exposure to legionella},
	year = {2005},
	type = {phd},
	author = {Armstrong, Thomas W}
}
@article {1884,
	title = {Quantitative microbial risk assessment of human illness from exposure to marine beach sand},
	journal = {Environmental science \& technology},
	volume = {46},
	year = {2012},
	pages = {2799{\textendash}2805},
	author = {Shibata, Tomoyuki and Solo-Gabriele, Helena M}
}
@book {hrg14,
	title = {Quantitative Microbial Risk Assessment: Second Edition},
	year = {2014},
	publisher = {John Wiley \& Sons},
	organization = {John Wiley \& Sons},
	url = {https://onlinelibrary.wiley.com/doi/book/10.1002/9781118910030},
	author = {Haas, CN and Rose, JB and Gerba, CP}
}
@book {hrg99,
	title = {Quantitative Microbial Risk Assessment, Second Edition},
	year = {2014},
	publisher = {John Wiley \& Sons, Inc},
	organization = {John Wiley \& Sons, Inc},
	address = {New York, NY},
	doi = {10.1002/9781118910030},
	url = {https://onlinelibrary-wiley-com.proxy1.cl.msu.edu/doi/book/10.1002/9781118910030},
	author = {Haas, C N and Rose, J B and Gerba, C P}
}
@article {1310,
	title = {Quantitative Microbial Risk Assessment to Estimate Illness in Freshwater Impacted by Agricultural Animal Sources of Fecal Contamination},
	year = {2010},
	url = {https://www.epa.gov/sites/production/files/2015-11/documents/quantitiave-microbial-risk-fecal.pdf},
	author = {US Environmental Protection Agency,}
}
@article {1632,
	title = {Quantitative risk assessment of Cryptosporidium in tap water in Ireland},
	journal = {Science of the Total Environment},
	volume = {408},
	year = {2010},
	chapter = {pp. 740-753},
	author = {Cummins, E and Kennedy, R and Cormican, M}
}
@article {bgs61,
	title = {Quantitative studies of Mycobacterium johnei in the tissues of sheep},
	journal = {Journal of Comparative Pathology},
	volume = {71},
	year = {1961},
	pages = {286},
	url = {http://www.ncbi.nlm.nih.gov/pubmed/14317616},
	author = {Brotherston, J G and Gilmour, N J and Samuel, J}
}
@article {ngb62,
	title = {Quantitative studies of Mycobacterium johnei in tissues of sheep. III. Intestinal histopathology},
	journal = {Journal of comparative pathology},
	volume = {72},
	year = {1962},
	pages = {80},
	author = {Nisbet, D I and Gilmour, N J and Brotherston, J G}
}
