Abstract
In response to the critical need of early detection of potential infectious disease outbreaks or bioterrorism events, public health syndromic surveillance systems have been rapidly developed and deployed in recent years. This paper surveys major research and system development issues related to syndromic surveillance systems and discusses recent advances in this important area of security informatics study.
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References
Andrew, W., Moore, G.C.: Rich Tsui, Mike Wagner: Summary of Biosurveillance-relevant Statistical and Data Mining Techniques. RODS Laboratory Technical Report (2002)
Burkom, H.S.: Biosurveillance Applying Scan Statistics with Multiple Disparate Data Sources. Journal Urban Health 2003 80(2), 57–65 (2003)
CDC: National Electronic Disease Surveillance System: the surveillance and monitoring component of the Public Health Information Network. Atlanta, GA: US Department of Health and Human Services (2004)
Christensen, L., Fiszman, H.P.: MPLUS: a Probabilistic Medical Language Understanding System. In: Workshop on Natural Language Processing in the Biomedical Domain (2002)
Christina, A., Mikosz, J.S., Black, S., Gibbs, G., Cardenas, I.: Comparison of Two Major Emergency Department-Based Free-Text Chief-Complaint Coding Systems. Morbidity and Mortality Weekly Report, the Epidemiology Program Office, Centers for Disease Control and Prevention (CDC). 53(Suppl.) (2004)
Colin, R., Goodall, A.L., Halasz, S., Koski, E., Agarwal, D., Tse, S., Jacobson, G.: Performance-Critical Anomaly Detection — United States, December 2002-March 2004. In: Morbidity and Mortality Weekly Report, the Epidemiology Program Office, Centers for Disease Control and Prevention (CDC). vol. 54(Suppl.), pp. 188 (2005)
Colleen, A., Bradley, H.R., Walker, D., Loonsk, J.: BioSense: Implementation of a National Early Event Detection and Situational Awareness System. In: Morbidity and Mortality Weekly Report, the Epidemiology Program Office, Centers for Disease Control and Prevention (CDC), vol. 54(Suppl.), pp. 11–20 (2005)
Cooper, G.F., Dash, D.H., Levander, J.D., Wong, W.-K., Hogan, W.R., Wagner, M.M.: Bayesian Biosurveillance of Disease Outbreaks. In: The Twentieth Conference on Uncertainty in Artificial Intelligence, Banff, Alberta, Canada (2004)
Buckeridge, D.L., Graham, J., O’Connor, M.J., Choy, M.K., Tu, S.W., Musen, M.A.: Knowledge-Based Bioterrorism Surveillance. In: American Medical Informatics Association Symposium, San Antonio, TX (2002)
Das, D., Weiss, D., Mostashari, F., Treadwell, T., McQuiston, J., Hutwagner, L., Karpati, A., Bornschlegel, K., Seeman, M., Turcios, R., Terebuh, P., Curtis, R., Heffernan, R., Balter, S.: Enhanced Drop-in Syndromic Surveillance in New York City. J. Urban Health 80(1), 176–188 (2003)
Buckeridge, D.L., Burkam, H., Campbell, M., Hogan, W.R., Moore, A.W.: Algorithms for Rapid Outbreak Detection: a Research Synthesis. Journal of Biomedical Informatics 38, 99–113 (2005)
Buckeridge, D.L., Switzer, P., Owens, D., Siegrist, D., Pavlin, J., Musen, M.: an Evaluation Model for Syndromic Surveillance: Assessing the Performance of a Temporal Algorithm. In: Morbidity and Mortality Weekly Report, the Epidemiology Program Office, Centers for Disease Control and Prevention (CDC), vol. 54(Suppl,), pp. 109–115 (2005)
Dena, M., Bravata, K.M.M., Smith, W.M., Rydzak, C., Szeto, H., Buckeridge, D.L., Haberland, C., Owens, D.K.: Systematic Review: Surveillance Systems for Early Detection of Bioterrorism-Related Diseases. Ann. Intern. Med. 140, 910–922 (2004)
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., Haug, P.J.: Rapid Deployment of an Electronic Disease Surveillance System in the State of Utah for the 2002 Olympic Winter games. In: Proc. AMIA Symp 2002 (2002)
Grigoryan, V.V., Wagner, M.M., Waller, K., Wallstrom, G.L., Hogan, W.R.: The Effect of Spatial Granularity of Data on Reference Dates for Influenza Outbreaks. RODS Laboratory Technical Report (2005)
Ma, H., Rolka, H., Mandl, K., Buckeridge, D., Fleischauer, A., Pavlin, J.: Implementation of Laboratory Order Data in BioSense Early Event Detection and Situation Awareness System. In: Morbidity and Mortality Weekly Report, the Epidemiology Program Office, Centers for Disease Control and Prevention (CDC), vol. 54(Suppl.), pp. 27–30 (2005)
Hutwagner, L., Thompson, W., Seeman, G.M., Treadwell, T.: The Bioterrorism Preparedness and Response Early Aberration Reporting System (EARS). J. Urban Health 80(2), 89–96 (2003)
Ivanov, O., Wagner, M.M., Chapman, W.W., Olszewski, R.T.: Accuracy of Three Classifiers of Acute Gastrointestinal Syndrome for Syndromic Surveillance. In: AMIA Symp. 2002 (2002)
Daniel, J.B., Heisey-Grove, D., Gadam, P., Yih, W., Mandl, K., De Maria Jr., A., Platt, R.: Connecting Health Departments and Providers: Syndromic Surveillance’s Last Mile. In: Morbidity and Mortality Weekly Report, the Epidemiology Program Office, Centers for Disease Control and Prevention (CDC), vol. 54(Suppl.), pp. 147–51 (2005)
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.: Removing a Barrier to Computer-Based Outbreak and Disease Surveillance — The RODS Open Source Project. In: Morbidity and Mortality Weekly Report, the Epidemiology Program Office, Centers for Disease Control and Prevention (CDC), vol. 53(Suppl.), pp. 34–41 (2004)
Lombardo, J., Burkom, H., Elbert, E., Magruder, S., Lewis, S.H., Loschen, W., Sari, J., Sniegoski, C., Wojcik, R., Pavlin, J.: A systems overview of the Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE II). Journal of Urban Health: Bulletin of the New York Academy of Medicine 80(2), 32–42 (2003)
Hurt-Mullen, K.J., Coberly, J.: Syndromic Surveillance on the Epidemiologist’s Desktop: Making Sense of Much Data. In: Morbidity and Mortality Weekly Report, the Epidemiology Program Office, Centers for Disease Control and Prevention (CDC), vol. 54(Suppl.), pp. 141–147 (2005)
Kleinman, K.P., Abrams, A., Mandl, K., Platt, R.: Simulation for Assessing Statistical Methods of Biologic Terrorism Surveillance. In: Morbidity and Mortality Weekly Report, the Epidemiology Program Office, Centers for Disease Control and Prevention (CDC), vol. 54(Suppl.), pp. 103–110 (2005)
Kleinman, K.P., Abrams, A.M., Kulldorff, M., Platt, R.: A Model-adjusted Spacetime Scan Statistic with an Application to Syndromic Surveillance. Epidemiol Infect 2005, (119), 409–19 (2005)
Kleinman, K., Lazarus, R., Platt, R.: A Generalized Linear Mixed Models Approach for Detecting Incident Cluster/signals of Disease in Small Areas, with an Application to Biological Terrorism (with Invited Commentary). Am. J. Epidemiol. 2004 159, 217–24 (2004)
Kulldorff, M.: Prospective Time Periodic Geographical Disease Surveillance Using a Scan Statistic. Journal of the Royal Statistical Society, Series A (164), 61–72 (2001)
Lazarus, R., Kleinman, K.P., Dashevsky, I., DeMaria, A., Platt, R.: Using Automated Medical Records for Rapid Identification of Illness Syndromes (Syndromic Surveillance): the Example of Lower Respiratory Infection. BMC Public Health 1(9) (2001)
Sokolow, L.Z., Grady, N., Rolka, H., Walker, D., McMurray, P., English-Bullard, R., Loonsk, J.: Deciphering Data Anomalies in BioSense. In: Morbidity and Mortality Weekly Report, the Epidemiology Program Office, Centers for Disease Control and Prevention (CDC), vol. 54(Suppl.), pp. 133–140 (2005)
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., Tsui, F.C.: Roundtable on Bioterrorism Detection: Information System-based Surveillance. J. Am. Med. Inform. Assoc. 2003 9, 105–15 (2002)
Lombardo, J.S., Burkom, H., Pavlin, J.: Electronic Surveillance System for the Early Notification of Community-Based Epidemics (ESSENCE II), Framework for Evaluating Syndromic Surveillance Systems. In: Syndromic surveillance: report from a national conference, 2003. MMWR 2004, vol. 53(Suppl.), pp. 159–65 (2004)
Luiz Duczmal, D.B.: Using Modified Spatial Scan Statistic to Improve Detection of Disease Outbreak When Exposure Occurs in Workplace — Virginia, 2004. In: Morbidity and Mortality Weekly Report, the Epidemiology Program Office, Centers for Disease Control and Prevention (CDC), vol. 54(Suppl.), p. 187 (2005)
Mandl, K.D., Overhage, J.M., Wagner, M.M., Lober, W.B., Sebastiani, P., Mostashari, F., Pavlin, J.A., Gesteland, P.H., Treadwell, T., Koski, E., Hutwagner, L., Buckeridge, D.L., Aller, R.D., Grannis, S.: Implementing Syndromic Surveillance: a Practical Guide Informed by the Early Experience. J. Am. Med. Inform. Assoc. 11(2), 141–50 (2004)
Wagner, M.M., Espino, J., Tsui, F.-C., Gesteland, P., Chapman, W., Ivanov, O., Moore, A., Wong, W., Dowling, J., Hutman, J.: Syndrome and Outbreak Detection Using Chief-Complaint Data — Experience of the Real-Time Outbreak and Disease Surveillance Project. In: MMWR, Centers for Disease Control and Prevention (CDC), vol. 53(Suppl.), pp. 28–32 (2004)
Crubézy, M., O’Connor, M., Buckeridge, D.L., Pincus, Z., Musen, M.A.: Ontology-Centered Syndromic Surveillance for Bioterrorism. IEEE Intelligent Systems 20(5), 26–35 (2005)
CDC.: Syndromic Surveillance for Bioterrorism Following the Attacks on the World Trade Center–New York City, 2001. MMWR 51, 13-5 (2002)
Reis, B.Y., Mandl, K.D.: Time Series Modeling for Syndromic Surveillance. BMC Medical Informatics and Decision Making (2003)
Ritter, T.: LEADERS: Lightweight Epidemiology Advanced Detection and Emergency Response System. In: SPIE (2002)
Shahar, Y., Musen, M.S.: Knowledge-based Temporal Abstraction in Clinical Domains. Artificial Intelligence in Medicine 8, 267–98 (1996)
Tsui, F.-C., Espino, J.U., Dato, V.M., Gesteland, P.H., Hutman, J., Wagner, M.M.: Technical Description of RODS: a Real-time Public Health Surveillance System. J. Am. Med. Inform. Assoc. 10, 399–408 (2003)
Tsui, F.C.R., Wagner, M., Dato, V., Chang, H.C.: Value of ICD-9–Coded Chief Complaints for Detection of Epidemics. Symposium of Journal of American Medical Informatics Association (2001)
Buetow, T., Chaboya, L., O’Toole, C., Cushna, T., Daspit, D., Petersen, T., Atabakhsh, H., Chen, H.: A Spatio Temporal Visualizer for Law Enforcement. In: ISI (2003)
Chapman, W.W., Christensen, L.M., Wagner, M.M., Haug, P.J., Ivanov, O., Dowling, J.N., Olszewski, R.T.: Classifying Free-text Triage Chief Complaints into Syndromic Categories with Natural Language Processing. Artificial Intelligence in Medicine 33(1), 31–40 (2005)
Katherine Yih, W., Abrams, A., Danila, R., Green, K., Kleinman, K., Kulldorff, M., Miller, B., Nordin, J., Platt, R.: Ambulatory-Care Diagnoses as Potential Indicators of Outbreaks of Gastrointestinal Illness — Minnesota. In: MMWR, Centers for Disease Control and Prevention (CDC), vol. 54(Suppl.), pp. 157–162 (2005)
Wong, W.-K., Cooper, G., Dash, D., Levander, J., Dowling, J., Hogan, W., Wagner, M.: Use of Multiple Data Streams to Conduct Bayesian Biologic Surveillance. In: MMWR, the Epidemiology Program Office, Centers for Disease Control and Prevention (CDC), vol. 54(Suppl.), pp. 63–70 (2005)
Wong, W.-K., Moore, A., Cooper, G., Wagner, M.: Rule-based Anomaly Pattern Detection for Detecting Disease Outbreaks. In: AAAI 2002, Edmonton, Alberta (2002)
Wong, W.-K., Moore, A., Cooper, G., Wagner, M.: WSARE: What’s Strange about Recent Events? Journal of Urban Health 80(2), 66–75 (2003)
Yih, W.K.C.B., Harmon, R.: The National Bioterrorism Syndromic Surveillance Demonstration Program. In: MMWR 2004, vol. 53(Suppl.), pp. 43–6 (2004)
Kaufman, Z., Peled-Leviatan, E.C.T., Lavi, C., Aharonowitz, G., Dichtiar, R., Bromberg, M., Havkin, O., Shalev, R.M.Y., Shalev, V., Shemer, J., Green, M.: Using Data on an Influenza B Outbreak To Evaluate a Syndromic Surveillance System — Israel. In: MMWR, Centers for Disease Control and Prevention (CDC), June 2004, vol. 54(Suppl.), p. 191 (2005)
Zelicoff, A., Brillman, J., Forslund, D.W., George, J.E., Zink, S., Koenig, S., Staab, T., Simpson, G., Umland, E., Bersell, K.: The rapid syndrome validation project (RSVP). In: AMIA Symp. 2001 (2001)
Zeng, D., Chang, W., Chen, H.: Clustering-based Spatio-Temporal Hotspot Analysis Techniques in Security Informatics. In: IEEE Transactions on Intelligent Transportation Systems (2004)
Hadler, J.L., Siniscalchi, A., Dembek, Z.F.: Hospital Admissions Syndromic Surveillance — Connecticut, September 2001-November 2003. In: MMWR, Centers for Disease Control and Prevention (CDC), vol. 53(Suppl.), pp. 50–52 (2004)
Dembek, Z.F., Carley, K., Hadler, J.: Guidelines for Constructing a Statewide Hospital Syndromic Surveillance Network. MMWR, Centers for Disease Control and Prevention (CDC) 54(Suppl.), 21–26 (2005)
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Yan, P., Zeng, D., Chen, H. (2006). A Review of Public Health Syndromic Surveillance Systems. In: Mehrotra, S., Zeng, D.D., Chen, H., Thuraisingham, B., Wang, FY. (eds) Intelligence and Security Informatics. ISI 2006. Lecture Notes in Computer Science, vol 3975. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760146_22
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DOI: https://doi.org/10.1007/11760146_22
Publisher Name: Springer, Berlin, Heidelberg
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