Aronis, JM, Ye Y, Espino J, Hochheiser H, Michaels MG, Cooper GF. A Bayesian system to detect and track outbreaks of influenza-like illnesses including novel diseases: Algorithm development and validation. JMIR Public Health Surveillance, 10 (2024) PMID: 38805611 PMCID: PMC11350309 DOI: 10.2196/57349.
Available at: https://doi.org/10.2196/57349
Aronis JM, Ye Y, Espino J, Michaels MG, Hochheiser H, Cooper GF. An evaluation of a Bayesian method to track outbreaks of known and novel influenza-like illnesses (under review) PMID: 40909849 PMCID: PMC12407607 DOI: 10.1101/2025.08.22.25334257.
Available at: https://medrxiv.org/cgi/content/short/2025.08.22.25334257v1
Sun Y, Gao Y, Bao R, Cooper GF, Espino J, Hochheiser H, Michaels MG, Aronis JM, Song C, Ye Y. Online transfer learning for RSV case detection. In: IEEE International Conference on Healthcare Informatics (ICHI) (2024) 512-521. PMID: 40391117 PMCID: PMC12086431 DOI: 10.1109/ichi61247.2024.00074. Available at: https://pmc.ncbi.nlm.nih.gov/articles/PMC12086431/
Gao Y, Bao R, Ji Y, Sun Y, Song C, Ferraro JP, Ye Y. Transfer Learning with clinical concept embeddings from large language models. In: AMIA Summits on Translational Science (2025) PMID: 40502269 PMCID: PMC12150738. Available at: https://pubmed.ncbi.nlm.nih.gov/40502269/
Song C, Gao Y, Bao R, Sun Y, Alicea JT, Ye Y. Probabilistic disease surveillance using large language models. Poster and abstract presented at the AMIA Informatics Summit (2025). Available at: https://amia.secure-platform.com/summit/solicitations/102005/sessiongallery/94376
Loo, S., Howerton, E., Contamin, L., Smith, C., Borchering, R., Mullany, L., Bents, S., Carcelen, E., Jung, S.m., Bogich, T., & others (2024). The US COVID-19 and Influenza Scenario Modeling Hubs: delivering long-term projections to guide policy. Epidemics, 46, 100738.
Howerton, E., Contamin, L., Mullany, L., Qin, M., Reich, N., Bents, S., Borchering, R., Jung, S.m., Loo, S., Smith, C., & others (2023). Evaluation of the US COVID-19 Scenario Modeling Hub for informing pandemic response under uncertainty. Nature communications, 14(1), 7260.
Jung, S.m., Loo, S., Howerton, E., Contamin, L., Smith, C., Carcelen, E., Yan, K., Bents, S., Levander, J., Espino, J., & others (2024). Potential impact of annual vaccination with reformulated COVID-19 vaccines: lessons from the US COVID-19 Scenario Modeling Hub. Plos Medicine, 21(4), e1004387.
Howerton, E., Contamin, L., Mullany, L., Qin, M., Reich, N., Bents, S., Borchering, R., Jung, S.m., Loo, S., Smith, C., & others (2023). Informing pandemic response in the face of uncertainty. An evaluation of the US COVID-19 Scenario Modeling Hub. medRxiv.
Borchering, R., Mullany, L., Howerton, E., Chinazzi, M., Smith, C., Qin, M., Reich, N., Contamin, L., Levander, J., Kerr, J., & others (2023). Impact of SARS-CoV-2 vaccination of children ages 5–11 years on COVID-19 disease burden and resilience to new variants in the United States, November 2021–March 2022: A multi-model study. The Lancet Regional Health–Americas, 17.
Wagner, M. M., Hogan, W. R., Levander, J. D., & Diller, M. (2024). Towards Machine-FAIR: Representing software and datasets to facilitate reuse and scientific discovery by machines. Journal of Biomedical Informatics, 154(104647), 104647. doi:10.1016/j.jbi.2024.104647
Aronis, J. M., Ferraro, J. P., Gesteland, P. H., Tsui, F., Ye, Y., Wagner, M. M., & Cooper, G. F. (2020). A Bayesian approach for detecting a disease that is not being modeled. PloS One, 15(2), e0229658. doi:10.1371/journal.pone.0229658
Millett, N. E., Aronis, J. M., Wagner, M. M., Tsui, F., Ye, Y., Ferraro, J. P., … Cooper, G. F. (2019). The design and evaluation of a Bayesian system for detecting and characterizing outbreaks of influenza. Online Journal of Public Health Informatics, 11(2), e6. doi:10.5210/ojphi.v11i2.9952
Tajgardoon, M., Wagner, M. M., Visweswara, S., & Zimmerman, R. K. (2018). A novel representation of vaccine efficacy trial datasets for use in computer simulation of vaccination policy. AMIA Summits on Translational Science Proceedings AMIA Summit on Translational Science, 2017, 389–398. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/29888097
Tsui, F., Ye, Y., Ruiz, V., Cooper, G. F., & Wagner, M. M. (2018). Automated influenza case detection for public health surveillance and clinical diagnosis using dynamic influenza prevalence method. Journal of Public Health (Oxford, England), 40(4), 878–885. doi:10.1093/pubmed/fdx141
Aronis, J. M., Millett, N. E., Wagner, M. M., Tsui, F., Ye, Y., Ferraro, J. P., … Cooper, G. F. (2017). A Bayesian system to detect and characterize overlapping outbreaks. Journal of Biomedical Informatics, 73, 171–181. doi:10.1016/j.jbi.2017.08.003
Ye, Y., Wagner, M. M., Cooper, G. F., Ferraro, J. P., Su, H., Gesteland, P. H., … Tsui, F. (2017). A study of the transferability of influenza case detection systems between two large healthcare systems. PloS One, 12(4), e0174970. doi:10.1371/journal.pone.0174970
Hogan, W. R., Wagner, M. M., Brochhausen, M., Levander, J., Brown, S. T., Millett, N., … Hanna, J. (2016). The Apollo Structured Vocabulary: an OWL2 ontology of phenomena in infectious disease epidemiology and population biology for use in epidemic simulation. Journal of Biomedical Semantics, 7(1), 50. doi:10.1186/s13326-016-0092-y
López Pineda, A., Ye, Y., Visweswaran, S., Cooper, G. F., Wagner, M. M., & Tsui, F. R. (2015). Comparison of machine learning classifiers for influenza detection from emergency department free-text reports. Journal of Biomedical Informatics, 58, 60–69. doi:10.1016/j.jbi.2015.08.019
Ye, Y., Tsui, F., Wagner, M., Espino, J., & Li, Q. (2014). Research and applications: Influenza detection from emergency department reports using natural language processing and Bayesian network classifiers. Journal of the American Medical Informatics Association: JAMIA, 21(5), 815.
Rexit, R., Tsui, F., Espino, J., Chrysanthis, P., Wesaratchakit, S., & Ye, Y. (2015). An analytics appliance for identifying (near) optimal over-the-counter medicine products as health indicators for influenza surveillance. Information Systems, 48, 151–163.
Cooper, G., Villamarin, R., Tsui, F.C., Millett, N., Espino, J., & Wagner, M. (2015). A method for detecting and characterizing outbreaks of infectious disease from clinical reports. Journal of biomedical informatics, 53, 15–26.
Ye, Y., Tsui, F. R., Wagner, M., Espino, J. U. and Li, Q. (2014), “Influenza detection from emergency department reports using natural language processing and Bayesian network classifiers”, J Am Med Inform Assoc.
Wagner, M. M., Levander, J. D., Brown, S., Hogan, W. R., Millett, N. and Hanna, J. (2013), “Apollo: giving application developers a single point of access to public health models using structured vocabularies and Web services”, AMIA Annu Symp Proc, 2013: 1415–1424.
Liu, T. Y., Sanders, J. L., Tsui, F. C., Espino, J. U., Dato, V. M. and Suyama, J. (2013), “Association of over-the-counter pharmaceutical sales with influenza-like-illnesses to patient volume in an urgent care setting”, PLoS ONE, 8, 3: e59273.
Villamarin, R., Cooper, G., Wagner, M., Tsui, F. C. and Espino, J. U. (2013), “A method for estimating from thermometer sales the incidence of diseases that are symptomatically similar to influenza”, J Biomed Inform, 46, 3: 444–457.
Sverchkov, Y., Jiang, X. and Cooper, G. F. (2012), “Spatial cluster detection using dynamic programming”, BMC Med Inform Decis Mak, 12: 22.
Lee, B. Y., Tai, J. H., McGlone, S. M., Bailey, R. R., Wateska, A. R., Zimmer, S. M., Zimmerman, R. K. and Wagner, M. M. (2012), “The potential economic value of a ‘universal’ (multi-year) influenza vaccine”, Influenza Other Respi Viruses, 6, 3: 167–175.
Que, J. and Tsui, F. C. (2012), “Spatial and Temporal Algorithm Evaluation for Detecting Over-The-Counter Thermometer Sale Increases during 2009 H1N1 Pandemic”, Online J Public Health Inform, 4, 1.
Rexit, R., Tsui, Fuchiang, Espino, J., Wesaratchakit, S., Ye, Ye and Chrysanthis, P.K. (2012), “Using a distributed search engine to identify optimal product sets for use in an outbreak detection system”, Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), 2012 8th International Conference on: 560-566.
Wagner, M., Cooper, G., Tsui, Fuchiang, Espino, J.U., Harkema, H., Levander, J., Villamarin, R., Millett, N., Brown, S.T. and Gallaggher, A. (2012), “A Decision-Theoretic Model of Disease Surveillance and Control and a Prototype Implementation for the Disease Influenza”, Data Engineering Workshops (ICDEW), 2012 IEEE 28th International Conference on: 49-54.
Lee, B. Y., Stalter, R. M., Bacon, K. M., Tai, J. H., Bailey, R. R., Zimmer, S. M. and Wagner, M. M. (2011), “Cost-effectiveness of adjuvanted versus nonadjuvanted influenza vaccine in adult hemodialysis patients”, Am. J. Kidney Dis., 57, 5: 724–732.
Jiang, X., Barmada, M. M., Cooper, G. F. and Becich, M. J. (2011), “A bayesian method for evaluating and discovering disease loci associations”, PLoS ONE, 6, 8: e22075.
Wagner, M., Tsui, F., Cooper, G., Espino, J. U., Harkema, H., Levander, J., Villamarin, R., Voorhees, R., Millett, N., Keane, C., Dey, A., Razdan, M., Hu, Y., Tsai, M., Brown, S., Lee, B. Y., Gallagher, A. and Potter, M. (2011), “Probabilistic, Decision-theoretic Disease Surveillance and Control”, Online J Public Health Inform, 3, 3.
Tsui, F., Wagner, M., Cooper, G., Que, J., Harkema, H., Dowling, J., Sriburadej, T., Li, Q., Espino, J. U. and Voorhees, R. (2011), “Probabilistic case detection for disease surveillance using data in electronic medical records”, Online J Public Health Inform, 3, 3.
Que, J. and Tsui, F. C. (2011), “Rank-based spatial clustering: an algorithm for rapid outbreak detection”, J Am Med Inform Assoc, 18, 3: 218–224.
Shen, Y. and Cooper, G. F. (2010), “A new prior for bayesian anomaly detection: application to biosurveillance”, Methods Inf Med, 49: 44–53.
Jiang, X. and Cooper, G. F. (2010), “A Bayesian spatio-temporal method for disease outbreak detection”, J Am Med Inform Assoc, 17, 4: 462–471.
Chapman, W. W., Dowling, J. N., Baer, A., Buckeridge, D. L., Cochrane, D., Conway, M. A., Elkin, P., Espino, J., Gunn, J. E., Hales, C. M., Hutwagner, L., Keller, M., Larson, C., Noe, R., Okhmatovskaia, A., Olson, K., Paladini, M., Scholer, M., Sniegoski, C., Thompson, D. and Lober, B. (2010), “Developing syndrome definitions based on consensus and current use”, J Am Med Inform Assoc, 17, 5: 595–601.
Jiang, X., Wallstrom, G., Cooper, G. F. and Wagner, M. M. (2009), “Bayesian prediction of an epidemic curve”, J Biomed Inform, 42: 90–99.
Shen, Y. and Cooper, G. F. (2009), “Bayesian modeling of unknown diseases for biosurveillance”, AMIA Annu Symp Proc, 2009: 589–593.
Jiang, X., Cooper, G. F. and Neill, D. B. (2009), “Generalized AMOC curves for evaluation and improvement of event surveillance”, AMIA Annu Symp Proc, 2009: 281–285.
Wu, T.S., Shih, F.Y., Yen, M.Y., Wu, J.S., Lu, S.W., Chang, K.C., Hsiung, C., Chou, J.H., Chu, Y.T., Chang, H., Chiu, C.H., Tsui, F.C., Wagner, M.M., Su, I.J. and King, C.C. (2008), “Establishing a nationwide emergency department-based syndromic surveillance system for better public health responses in Taiwan”, BMC Public Health, 8: 18.
Shen, Y., Adamou, C., Dowling, J.N. and Cooper, G.F. (2008), “Estimating the joint disease outbreak-detection time when an automated biosurveillance system is augmenting traditional clinical case finding”, J Biomed Inform, 41: 224–231.
WW, Chapman, JN, Dowling and G, Hripcsak (2007), “Evaluation of training with an annotation schema for manual annotation of clinical conditions from emergency department reports”, Int J Med Inform.
GL, Wallstrom and WR, Hogan (2007), “Unsupervised clustering of over-the-counter healthcare products into product categories”, J Biomed Inform.
WR, Hogan, GF, Cooper, GL, Wallstrom, MM, Wagner and JM, Depinay (2007), “The Bayesian aerosol release detector: An algorithm for detecting and characterizing outbreaks caused by an atmospheric release of Bacillus anthracis”, Stat Med.
Dara, J., Dowling, J.N., Travers, D., Cooper, G.F. and Chapman, W.W. (2007), “Evaluation of preprocessing techniques for chief complaint classification”, J Biomed Inform.
Tsai, M. C., Tsui, F. C. and Wagner, M. M. (2007), “An evaluation of biosurveillance grid–dynamic algorithm distribution across multiple computer nodes”, AMIA Annu Symp Proc: 746–750.
Que, J., Tsui, F. C. and Wagner, M. M. (2006), “Timeliness study of radiology and microbiology reports in a healthcare system for biosurveillance”, AMIA … Annual Symposium Proceedings/AMIA Symposium: 1068.
Wagner, Michael M., Moore, Andrew W. and Aryel, Ron M. (2006), “Handbook of biosurveillance”, Academic Press.
Chu, David, Dowling, John N and Chapman, Wendy W (2006), “Evaluating the effectiveness of four contextual features in classifying annotated clinical conditions in emergency department reports”, AMIA Annu Symp Proc: 141–145.
Chapman, Wendy W and Dowling, John N (2006), “Inductive creation of an annotation schema for manually indexing clinical conditions from emergency department reports”, J Biomed Inform, 39, 2: 196–208.
Chapman, W. W., Christensen, L. M., Wagner, M. M., Haug, P. J., Ivanov, O., Dowling, J. N. and Olszewski, R. T. (2005), “Classifying free-text triage chief complaints into syndromic categories with natural language processing”, Artificial Intelligence in Medicine, 33, 1: 31-40.
Hogan, W. R., Wallstrom, G. L. and Wagner, M. M. (2005), “An evaluation of three policies for updating product categories in the National Retail Data Monitor”, AMIA … Annual Symposium Proceedings/AMIA Symposium: 325-9.
Tsui, F. C., Espino, J. U., Weng, Y., Choudary, A., Su, H. D. and Wagner, M. M. (2005), “Key design elements of a data utility for national biosurveillance: event-driven architecture, caching, and Web service model”, AMIA … Annual Symposium Proceedings/AMIA Symposium: 739-43.
Wallstrom, G. L., Wagner, M. and Hogan, W. (2005), “High-fidelity injection detectability experiments: a tool for evaluating syndromic surveillance systems”, MMWR – Morbidity & Mortality Weekly Report, 54 Suppl: 85-91.
Wong, W. K., Cooper, G., Dash, D., Levander, J., Dowling, J., Hogan, W. and Wagner, M. (2005), “Use of multiple data streams to conduct Bayesian biologic surveillance”, MMWR – Morbidity & Mortality Weekly Report, 54 Suppl: 63-9.
Chapman, Wendy W, Dowling, John N and Wagner, Michael M (2005), “Generating a reliable reference standard set for syndromic case classification”, J Am Med Inform Assoc, 12, 6: 618–629.
Chapman, Wendy W, Dowling, John N and Wagner, Michael M (2005), “Classification of emergency department chief complaints into 7 syndromes: a retrospective analysis of 527,228 patients”, Ann Emerg Med, 46, 5: 445–455.
Wagner, Michael M, Wallstrom, Garrick L and Onisko, Agnieszka (2005), “Issue a boil-water advisory or wait for definitive information? A decision analysis”, AMIA Annu Symp Proc: 774–778.
Li, Ran, Wallstrom, Garrick L and Hogan, William R (2005), “A multivariate procedure for identifying correlations between diagnoses and over-the-counter products from historical datasets”, AMIA Annu Symp Proc: 450–454.
Espino, J. U., Wagner, M., Szczepaniak, C., Tsui, F. C., Su, H., Olszewski, R., Liu, Z., Chapman, W., Zeng, X., Ma, L., Lu, Z., Dara, J., Centers for Disease, Control and Prevention (2004), “Removing a barrier to computer-based outbreak and disease surveillance–the RODS Open Source Project”, MMWR – Morbidity & Mortality Weekly Report, 53 Suppl: 32-9.
Espino, J. U., Wagner, M. M., Tsui, F. C., Su, H. D., Olszewski, R. T., Lie, Z., Chapman, W., Zeng, X., Ma, L., Lu, Z. W. and Dara, J. (2004), “The RODS Open Source Project: removing a barrier to syndromic surveillance”, Medinfo, 11, Pt 2: 1192-6.
Johnson, H. A., Wagner, M. M., Hogan, W. R., Chapman, W., Olszewski, R. T., Dowling, J. and Barnas, G. (2004), “Analysis of Web access logs for surveillance of influenza”, Medinfo, 11, Pt 2: 1202-6.
Wagner, M. M., Tsui, F. C., Espino, J., Hogan, W., Hutman, J., Hersh, J., Neill, D., Moore, A., Parks, G., Lewis, C. and Aller, R. (2004), “National Retail Data Monitor for public health surveillance”, MMWR – Morbidity & Mortality Weekly Report, 53 Suppl: 40-2.
Wagner, M. M., Espino, J., Tsui, F. C., Gesteland, P., Chapman, W., Ivanov, O., Moore, A., Wong, W., Dowling, J. and Hutman, J. (2004), “Syndrome and outbreak detection using chief-complaint data–experience of the Real-Time Outbreak and Disease Surveillance project”, MMWR – Morbidity & Mortality Weekly Report, 53 Suppl: 28-31.
Mandl, Kenneth D, Overhage, J Marc, Wagner, Michael M, Lober, William B, Sebastiani, Paola, Mostashari, Farzad, Pavlin, Julie A, Gesteland, Per H, Treadwell, Tracee, Koski, Eileen, Hutwagner, Lori, Buckeridge, David L, Aller, Raymond D and Grannis, Shaun (2004), “Implementing syndromic surveillance: a practical guide informed by the early experience”, J Am Med Inform Assoc, 11, 2: 141–150.
Chapman, Wendy W, Fiszman, Marcelo, Dowling, John N, Chapman, Brian E and Rindflesch, Thomas C (2004), “Identifying respiratory findings in emergency department reports for biosurveillance using MetaMap”, Medinfo, 11, Pt 1: 487–491.
Dato, V., Wagner, M. M. and Fapohunda, A. (2004), “How outbreaks of infectious disease are detected: a review of surveillance systems and outbreaks”, Public Health Rep, 119, 5: 464–471.
Espino, J. U., Hogan, W. R. and Wagner, M. M. (2003), “Telephone triage: a timely data source for surveillance of influenza-like diseases”, AMIA … Annual Symposium Proceedings/AMIA Symposium: 215-9.
Gesteland, P. H., Gardner, R. M., Tsui, F. C., Espino, J. U., Rolfs, R. T., James, B. C., Chapman, W. W., Moore, A. W. and Wagner, M. M. (2003), “Automated syndromic surveillance for the 2002 Winter Olympics”, Journal of the American Medical Informatics Association, 10, 6: 547-54.
Hogan, W. R., Tsui, F. C., Ivanov, O., Gesteland, P. H., Grannis, S., Overhage, J. M., Robinson, J. M., Wagner, M. M. and Indiana-Pennsylvania-Utah, Collaboration (2003), “Detection of pediatric respiratory and diarrheal outbreaks from sales of over-the-counter electrolyte products”, Journal of the American Medical Informatics Association, 10, 6: 555-62.
Ivanov, O., Gesteland, P. H., Hogan, W., Mundorff, M. B. and Wagner, M. M. (2003), “Detection of pediatric respiratory and gastrointestinal outbreaks from free-text chief complaints”, AMIA … Annual Symposium Proceedings/AMIA Symposium: 318-22.
Ma, L., Tsui, F. C., Hogan, W. R., Wagner, M. M. and Ma, H. (2003), “A framework for infection control surveillance using association rules”, AMIA … Annual Symposium Proceedings/AMIA Symposium: 410-4.
Tsui, F. C., Espino, J. U., Dato, V. M., Gesteland, P. H., Hutman, J. and Wagner, M. M. (2003), “Technical description of RODS: a real-time public health surveillance system”, Journal of the American Medical Informatics Association, 10, 5: 399-408.
Wagner, M. M., Robinson, J. M., Tsui, F. C., Espino, J. U. and Hogan, W. R. (2003), “Design of a national retail data monitor for public health surveillance”, Journal of the American Medical Informatics Association, 10, 5: 409-18.
Zhang, J., Tsui, F. C., Wagner, M. M. and Hogan, W. R. (2003), “Detection of outbreaks from time series data using wavelet transform”, AMIA … Annual Symposium Proceedings/AMIA Symposium: 748-52.
Wagner, Michael M, Dato, Virginia, Dowling, John N and Allswede, Michael (2003), “Representative threats for research in public health surveillance”, J Biomed Inform, 36, 3: 177–188.
Olszewski, Robert (2003), “Bayesian classification of triage diagnoses for the early detection of epidemics.”, Recent Advances in Artificial Intelligence: Proceedings of the 16th International FLAIRS Conference, 2003: 412-6.
Gesteland, P. H., Wagner, M. M., Chapman, W. W., Espino, J. U., Tsui, F. C., Gardner, R. M., Rolfs, R. T., Dato, V., James, B. C. and Haug, P. J. (2002), “Rapid deployment of an electronic disease surveillance system in the state of Utah for the 2002 Olympic Winter Games”, Proceedings / AMIA … Annual Symposium: 285-9.
Ivanov, O., Wagner, M. M., Chapman, W. W. and Olszewski, R. T. (2002), “Accuracy of three classifiers of acute gastrointestinal syndrome for syndromic surveillance”, Proceedings / AMIA … Annual Symposium: 345-9.
Lober, W. B., Karras, B. T., Wagner, M. M., Overhage, J. M., Davidson, A. J., Fraser, H., Trigg, L. J., Mandl, K. D., Espino, J. U. and Tsui, F. C. (2002), “Roundtable on bioterrorism detection: information system-based surveillance.[see comment]”, Journal of the American Medical Informatics Association, 9, 2: 105-15.
Panackal, A. A., M’Ikanatha N, M., Tsui, F. C., McMahon, J., Wagner, M. M., Dixon, B. W., Zubieta, J., Phelan, M., Mirza, S., Morgan, J., Jernigan, D., Pasculle, A. W., Rankin J. T., Jr., Hajjeh, R. A. and Harrison, L. H. (2002), “Automatic electronic laboratory-based reporting of notifiable infectious diseases at a large health system”, Emerging Infectious Diseases, 8, 7: 685-91.
Tsui, F. C., Espino, J. U., Wagner, M. M., Gesteland, P., Ivanov, O., Olszewski, R. T., Liu, Z., Zeng, X., Chapman, W., Wong, W. K. and Moore, A. (2002), “Data, network, and application: technical description of the Utah RODS Winter Olympic Biosurveillance System”, Proceedings / AMIA … Annual Symposium: 815-9.
Teich, Jonathan M, Wagner, Michael M, Mackenzie, Colin F and Schafer, Klaus O (2002), “The informatics response in disaster, terrorism, and war”, J Am Med Inform Assoc, 9, 2: 97–104.
Wagner, Michael M (2002), “The space race and biodefense: lessons from NASA about big science and the role of medical informatics”, J Am Med Inform Assoc, 9, 2: 120–122.
Goldenberg, Anna, Shmueli, Galit, Caruana, Richard A and Fienberg, Stephen E (2002), “Early statistical detection of anthrax outbreaks by tracking over-the-counter medication sales.”, Proc Natl Acad Sci U S A, 99, 8: 5237-40.
Chapman, W. W., Bridewell, W., Hanbury, P., Cooper, G. F. and Buchanan, B. G. (2001), “Evaluation of negation phrases in narrative clinical reports”, Proceedings / AMIA … Annual Symposium: 105-9.
Espino, J. U. and Wagner, M. M. (2001), “Accuracy of ICD-9-coded chief complaints and diagnoses for the detection of acute respiratory illness”, Journal of the American Medical Informatics Association: 164-168.
Tsui, F. C., Wagner, M. M., Dato, V. and Chang, C. C. (2001), “Value of ICD-9 coded chief complaints for detection of epidemics”, Proceedings / AMIA … Annual Symposium: 711-5.
Wagner, M. M., Tsui, F. C., Espino, J. U., Dato, V. M., Sittig, D. F., Caruana, R. A., McGinnis, L. F., Deerfield, D. W., Druzdzel, M. J. and Fridsma, D. B. (2001), “The emerging science of very early detection of disease outbreaks”, Journal of Public Health Management & Practice, 7, 6: 51-9.
Zeng, X. and Wagner, M. (2001), “Modeling the effects of epidemics on routinely collected data”, Proceedings / AMIA … Annual Symposium: 781-5.
Wagner, M. M., Tsui, F. C., Pike, J. and Pike, L. (1999), “Design of a clinical notification system”, Proceedings / AMIA … Annual Symposium: 989-93.