Grantee Research Project Results
The Center for Advancing Microbial Risk Assessment (CAMRA)
EPA Grant Number: R832362Center: Duke University Center for Environmental Implications of NanoTechnology
Center Director: Wiesner, Mark R.
Title: The Center for Advancing Microbial Risk Assessment (CAMRA)
Investigators: Rose, Joan B. , Haas, Charles N. , S. Eisenberg, Joseph N. , Gerba, Charles P. , Todd, Ewen , Koopman, James , Gurian, Patrick , Weber, Rosina
Current Investigators: Rose, Joan B. , Gerba, Charles P. , S. Eisenberg, Joseph N. , Haas, Charles N. , Koopman, James , Gurian, Patrick , Weber, Rosina , Todd, Ewen
Institution: Michigan State University , Drexel University , Carnegie Mellon University , University of California - Berkeley , University of Michigan , University of Arizona , Northern Arizona University
Current Institution: Michigan State University , University of Arizona , Drexel University , Northern Arizona University , University of California - Berkeley , University of Michigan
EPA Project Officer: Packard, Benjamin H
Project Period: September 1, 2005 through August 31, 2010
Project Amount: $10,000,000
RFA: DHS-EPA Cooperative Center of Excellence on the Methods and Science to Conduct Microbial Risk Assessment in Support of Homeland Security Objectives (2004) RFA Text | Recipients Lists
Research Category: Drinking Water , Human Health , Homeland Security , Water
Objective:
CAMRA is a consortium of scientists who have extensive expertise in quantitative microbial risk assessment (MRA) methods, bio-security, and infectious disease transmission through environmental exposures. CAMRA has two main goals. The first is a technical mission to develop critically reviewed and interpreted sets of models, tools, and information that will be used in a credible risk assessment framework to reduce or eliminate health impacts from deliberate use of biological agents of concern (BAC) as bioterrorist agents in the indoor and outdoor environment. The second mission is to build a national MRA network for knowledge management, learning, and transfer for scientists, students, and professionals in the field and in our communities.
Approach:
There are five major research projects which will define the objectives and activities of CAMRA. Each project objective has been developed through collaborative efforts of scientists and will be integrated via a management structure that facilitates interaction. These research projects address exposure, methods and models; dose-response; population outcomes; risk frameworks; and knowledge management, transfer and learning. Through these projects we will:
- Document the sensitivity and specificity of risk exposure methods and their ability to address levels of safety;
- Create a research toolbox with validated surrogates for BAC;
- Evaluate the fate and transport of bioterrorist agents in water distribution systems, air, and buildings;
- Develop a suite of models for characterizing exposure via aerosols and the indoor environment that are validated with real-world data where available, describing disease transmission through dynamic stochastic and deterministic models, and assessing controls such as vaccines, decontamination, and quarantines; and
- Produce an inventory of critically analyzed dose-response relationships for Category A agents and mechanistic dose-response models.
Expected Results:
Overall these projects will focus on assessment, lessons learned, new science and research, databases, tools and methods and finally knowledge building for learning and communication purposes. We anticipate that CAMRA will produce a suite of outcomes for government officials and first responders as well as the research, education, and professional communities.
Relevant Websites:
Assessing the Risk from Biological Threats: A Government/Academia Partnership for Homeland Security (PDF) (2 pp., 372KB)
Journal Articles: 56 Displayed | Download in RIS Format
| Other center views: | All 101 publications | 59 publications in selected types | All 56 journal articles |
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Ahmad F, Pandey AK, Herzog AB, Rose JB, Gerba CP, Hashsham SA. Environmental applications and potential health implications of quantum dots. Journal of Nanoparticle Research 2012;14:1038. |
R832362 (Final) |
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Austin RG, van Bloemen Waanders B, McKenna S, Choi CY. Mixing at cross junctions in water distribution systems. II:Experimental study. Journal of Water Resources Planning and Management 2008;134(3):295-302. |
R832362 (2007) R832362 (Final) |
Exit |
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Bartrand TA, Weir MH, Haas CN. Dose-response models for inhalation of Bacillus anthracis spores: interspecies comparisons. Risk Analysis 2008;28(4):1115-1124. |
R832362 (2007) R832362 (Final) |
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Boone SA, Gerba CP. Significance of fomites in the spread of respiratory and enteric viral disease. Applied and Environmental Microbiology 2007;73(6):1687-1696. |
R832362 (2007) R832362 (Final) |
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Casman EA, Fischhoff B. Risk communication planning for the aftermath of a plague bioattack. Risk Analysis 2008;28(5):1327-1342. |
R832362 (Final) |
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Corella-Barud V, Mena KD, Gibbs SG, Gurian PL, Barud A. Evaluation of neighborhood treatment systems for potable water supply. International Journal of Environmental Health Research 2009;19(1):49-58. |
R832362 (2007) R832362 (Final) |
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Durham DP, Casman EA. Threshold conditions for the persistence of plague transmission in urban rats. Risk Analysis 2009;29(12):1655-1663. |
R832362 (Final) |
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Greenberg DL, Busch JD, Keim P, Wagner DM. Identifying experimental surrogates for Bacillus anthracis spores: a review. Investigative Genetics 2010;1(1):4 (12 pp.). |
R832362 (Final) |
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Gunawardena S, Weber R, Agosto DE. Finding that special someone: interdisciplinary collaboration in an academic context. Journal of Education for Library and Information Science 2010;51(4):210-221. |
R832362 (Final) |
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Haas CN. Microbial dose response modeling: past, present, and future. Environmental Science & Technology 2015;49(3):1245-1259. |
R832362 (Final) |
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Hamilton MA, Hong T, Casman E, Gurian PL. Risk-based decision making for reoccupation of contaminated areas following a wide-area anthrax release. Risk Analysis 2015;35(7):1348-1363. |
R832362 (Final) |
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Herzog AB, McLennan SD, Pandey AK, Gerba CP, Haas CN, Rose JB, Hashsham SA. Implications of limits of detection of various methods for Bacillus anthracis in computing risks to human health. Applied and Environmental Microbiology 2009;75(19):6331-6339. |
R832362 (Final) |
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Herzog AB, Pandey AK, Reyes-Gastelum D, Gerba CP, Rose JB, Hashsham SA. Evaluation of sample recovery efficiency for bacteriophage P22 on fomites. Applied and Environmental Microbiology 2012;78(22):7915-7922. |
R832362 (Final) |
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Hong T, Gurian PL, Ward NFD. Setting risk-informed environmental standards for Bacillus anthracis spores. Risk Analysis 2010;30(10):1602-1622. |
R832362 (Final) |
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Hong T, Gurian PL.Characterizing bioaerosol risk from environmental sampling. Environmental Science & Technology 2012;46(12):6714-6722. |
R832362 (Final) |
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Hong T, Gurian PL, Huang Y, Haas CN. Prioritizing risks and uncertainties from intentional release of selected Category A pathogens. PLoS ONE 2012;7(3):e32732 (19 pp.). |
R832362 (Final) |
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Huang Y, Haas CN. Time-dose-response models for microbial risk assessment. Risk Analysis 2009;29(5):648-661. |
R832362 (Final) |
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Huang Y, Bartrand TA, Haas CN, Weir MH. Incorporating time postinoculation into a dose-response model of Yersinia pestis in mice. Journal of Applied Microbiology 2009;107(3):727-735. |
R832362 (Final) |
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Huang Y, Hong T, Bartrand TA, Gurian PL, Haas CN, Liu R, Tamrakar SB. How sensitive is safe? Risk-based targets or ambient monitoring of pathogens. IEEE Sensors Journal 2010;10(3):668-673. |
R832362 (Final) |
Exit Exit |
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Huang Y, Haas CN. Quantification of the relationship between bacterial kinetics and host response for monkeys exposed to aerosolized Francisella tularensis. Applied and Environmental Microbiology 2011;77(2):485-490. |
R832362 (Final) |
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Jones RM, Masago Y, Bartrand T, Haas CN, Nicas M, Rose JB. Characterizing the risk of infection from Mycobacterium tuberculosis in commercial passenger aircraft using quantitative microbial risk assessment. Risk Analysis 2009;29(3):355-365. |
R832362 (Final) |
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Jones R, Nicas M. Experimental determination of supermicrometer particle fate subsequent to a point release within a room under natural and forced mixing. Aerosol Science and Technology 2009;43(9):921-938. |
R832362 (Final) |
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Kim M, Choi CY, Gerba CP. Source tracking of microbial intrusion in water systems using artificial neural networks. Water Research 2008;42(4-5):1308-1314. |
R832362 (Final) |
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Kitajima M, Huang Y, Watanabe T, Katayama H, Haas CN. Dose-response time modelling for highly pathogenic avian influenza A (H5N1) virus infection. Letters in Applied Microbiology 2011;53(4):438-444. |
R832362 (Final) |
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Li S, Eisenberg JNS, Spicknall IH, Koopman JS. Dynamics and control of infections transmitted from person to person through the environment. American Journal of Epidemiology 2009;170(2):257-265. |
R832362 (Final) |
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Lopez GU, Gerba CP, Tamimi AH, Kitajima M, Maxwell SL, Rose JB. Transfer efficiency of bacteria and viruses from porous and nonporous fomites to fingers under different relative humidity conditions. Applied and Environmental Microbiology 2013;79(18):5728-5734. |
R832362 (Final) |
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Masago Y, Shibata T, Rose JB. Bacteriophage P22 and Staphylococcus aureus attenuation on nonporous fomites as determined by plate assay and quantitative PCR. Applied and Environmental Microbiology 2008;74(18):5838-5840. |
R832362 (Final) |
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Mayer BT, Koopman JS, Ionides EL, Pujol JM, Eisenberg JNS. A dynamic dose-response model to account for exposure patterns in risk assessment: a case study in inhalation anthrax. Journal of the Royal Society, Interface 2011;8(57):506-517. |
R832362 (Final) |
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Mayer BT, Eisenberg JNS, Henry CJ, Gomes MGM, Ionides EL, Koopman JS. Successes and shortcomings of polio eradication: a transmission modeling analysis. American Journal of Epidemiology 2013;177(11):1236-1245. |
R832362 (Final) |
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Milbrath MO, Spicknall IH, Zelner JL, Moe CL, Eisenberg JNS. Heterogeneity in norovirus shedding duration affects community risk. Epidemiology and Infection 2013;141(8):1572-1584. |
R832362 (Final) |
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Mitchell-Blackwood J, Gurian PL, O'Donnell C. Finding risk-based switchover points for response decisions for environmental exposure to Bacillus anthracis. Human and Ecological Risk Assessment 2011;17(2):489-509. |
R832362 (Final) |
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Mitchell-Blackwood J, Gurian PL, Lee R, Thran B. Variance in Bacillus anthracis virulence assessed through Bayesian hierarchical dose-response modelling. Journal of Applied Microbiology 2012;113(2):265-275. |
R832362 (Final) |
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Pujol JM, Eisenberg JE, Haas CN, Koopman JS. The effect of ongoing exposure dynamics in dose response relationships. PLoS Computational Biology 2009;5(6):e1000399. |
R832362 (2007) R832362 (Final) |
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Razzolini MTP, Weir MH, Matte MH, Matte GR, Fernandes LN, Rose JB. Risk of Giardia infection for drinking water and bathing in a peri-urban area in São Paulo, Brazil. International Journal of Environmental Health Research 2011;21(3):222-234. |
R832362 (Final) |
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Romero-Gomez P, Ho CK, Choi CY. Mixing at cross junctions in water distribution systems. I: Numerical study. Journal of Water Resources Planning and Management 2008;134(3):285-294. |
R832362 (2007) R832362 (Final) |
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Romero-Gomez P, Choi CY. Axial dispersion coefficients in laminar flows of water-distribution systems. Journal of Hydraulic Engineering 2011;137(11):1500-1508. |
R832362 (Final) |
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Romero-Gomez P, Lansey KE, Choi CY. Impact of an incomplete solute mixing model on sensor network design. Journal of Hydroinformatics 2011;13(4):642-651. |
R832362 (Final) |
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Ryan MO, Gurian PL, Haas CN, Rose JB, Duzinsk PJ. Acceptable microbial risk: cost-benefit analysis of a boil water order for Cryptosporidium. Journal American Water Works Association 2013;105(4):E189-E194. |
R832362 (Final) |
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Sinclair RG, Romero-Gomez P, Choi CY, Gerba CP. Assessment of MS-2 phage and salt tracers to characterize axial dispersion in water distribution systems. Journal of Environmental Science and Health, Part A:Toxic/Hazardous Substances and Environmental Engineering 2009;44(10):963-971. |
R832362 (Final) |
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Sinclair RG, Rose JB, Hashsham SA, Gerba CP, Haas CN. Criteria for selection of surrogates used to study the fate and control of pathogens in the environment. Applied and Environmental Microbiology 2012;78(6):1969-1977. |
R832362 (Final) |
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Sinclair R, Boone SA, Greenberg D, Keim P, Gerba CP. Persistence of category A select agents in the environment. Applied and Environmental Microbiology 2008;74(3):555-563. |
R832362 (2007) R832362 (Final) |
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Solon I, Gurian PL, Perez H. The extraction of a Bacillus anthracis surrogate from HVAC filters. Indoor and Built Environment 2012;21(4):562-567. |
R832362 (Final) |
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Song I, Romero-Gomez P, Choi CY. Experimental verification of incomplete solute mixing in a pressurized pipe network with multiple cross junctions. Journal of Hydraulic Engineering 2009;135(11):1005-1011. |
R832362 (Final) |
Exit Exit |
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Spicknall IH, Koopman JS, Nicas M, Pujol JM, Li S, Eisenberg JNS. Informing optimal environmental influenza interventions: how the host, agent, and environment alter dominant routes of transmission. PLoS Computational Biology 2010;6(10):e1000969. |
R832362 (Final) |
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Tamrakar SB, Haas CN. Dose-response model for Burkholderia pseudomallei (melioidosis). Journal of Applied Microbiology 2008;105(5):1361-1371. |
R832362 (Final) |
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Tamrakar SB, Haluska A, Haas CN, Bartrand TA. Dose-response model of Coxiella burnetii (Q fever). Risk Analysis 2011;31(1):120-128. |
R832362 (Final) |
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Tamrakar SB, Haas CN. Dose-response model of Rocky Mountain spotted fever (RMSF) for human. Risk Analysis 2011;31(10):1610-1621. |
R832362 (Final) |
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Tamrakar SB, Huang Y, Teske SS, Haas CN. Dose-response model of murine typhus (Rickettsia typhi): time post inoculation and host age dependency analysis. BMC Infectious Diseases 2012;12:77 (14 pp.). |
R832362 (Final) |
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Tamrakar S, Haas C. Dose-response model for Lassa virus. Human and Ecological Risk Assessment 2008;14(4):742-752. |
R832362 (2007) R832362 (Final) |
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Teske SS, Huang Y, Tamrakar SB, Bartrand TA, Weir MH, Haas CN. Animal and human dose-response models for Brucella species. Risk Analysis 2011;31(10):1576-1596. |
R832362 (Final) |
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Weber RO. Addressing failure factors in knowledge management. Electronic Journal of Knowledge Management 2007;5(3):334-347. |
R832362 (2007) R832362 (Final) |
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Weir MH, Haas CN. Quantification of the effects of age on the dose response of Variola major in suckling mice. Human and Ecological Risk Assessment 2009;15(6):1245-1256. |
R832362 (Final) |
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Weir MH, Pepe Razzolini MTP, Rose JB, Masago Y. Water reclamation redesign for reducing Cryptosporidium risks at a recreational spray park using stochastic models. Water Research 2011;45(19):6504-6514. |
R832362 (Final) |
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Yoon J-Y, Han J-H, Choi CY, Bui M, Sinclair RG. Real-time detection of Escherichia coli in water pipe using a microfluidic device with one-step latex immunoagglutination assay. Transactions of the ASABE 2009;52(3):1031-1039. |
R832362 (Final) |
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Zelner JL, King AA, Moe CL, Eisenberg JNS. How infections propagate after point-source outbreaks: an analysis of secondary norovirus transmission. Epidemiology 2010;21(5):711-718. |
R832362 (Final) |
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Zhao J, Eisenberg JE, Spicknall IH, Li S, Koopman JS. Model analysis of fomite mediated influenza transmission. PLoS ONE 2012;7(12):e51984 (11 pp.). |
R832362 (Final) |
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Supplemental Keywords:
biological agents, bioterrorism, quantitative microbial risk assessment, pathogens, dose-response, exposure assessment, risk management,, RFA, Scientific Discipline, INTERNATIONAL COOPERATION, Water, Environmental Monitoring, Ecological Risk Assessment, Drinking Water, homeland security, microbial risk assessment, pathogens, bioterrorism, environmental awareness, biological agents of concern, biopollution, air pollution, community water system, drinking water monitoring, analytical methods, drinking water distribution system, microbial risk management, water qualityProgress and Final Reports:
The perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Conclusions drawn by the principal investigators have not been reviewed by the Agency.