Abstract
Disease surveillance in animals remains inadequate to detect outbreaks resulting from novel pathogens and potential bioweapons. Mostly relying on confirmed diagnoses, another shortcoming of these systems is their ability to detect outbreaks in a timely manner. We investigated the feasibility of using veterinary laboratory test orders in a prospective system to detect outbreaks of disease earlier compared to traditional reporting methods. IDEXX Laboratories, Inc. automatically transferred daily records of laboratory test orders submitted from veterinary providers in Ohio via a secure file transfer protocol. Test products were classified to appropriate syndromic category using their unique identifying number. Counts of each category by county were analyzed to identify unexpected increases using a cumulative sums method. The results indicated that disease events can be detected through the prospective analysis of laboratory test orders and may provide indications of similar disease events in humans before traditional disease reporting.
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References
Babin, S.M., et al.: Early detection of possible bioterrorist events using sentinel animals. In: The 131st Annual Meeting of the American Public Health Association (2003)
Backer, L., et al.: Pet dogs as sentinels for environmental contamination. Sci. Total Environ. 274, 161–169 (2001)
Bartlett, P.C., et al.: Development of a computerized dairy herd health data base for epidemiologic research. Prev. Vet. Med. 4, 3–14 (1986)
Begier, E.M., et al.: The National Capitol Region’s Emergency Department Syndromic Surveillance System: Do Chief Complaint and Discharge Diagnosis Yield Different Results? Emerg. Infect. Dis. 9, 393–396 (2003)
Bradley, C.A., et al.: BioSense: Implementation of a National Early Event Detection and Situational Awareness System. MMWR Morb. Mortal Wkly Rep. 54, 11–19 (2005)
Buehler, J.W., et al.: Framework for Evaluating Public Health Surveillance Systems for Early Detection of Outbreaks. MMWR Recomm. Rep. 53 (2004)
Buehler, J.: Surveillance. In: Rothman, K.J., Greenland, S. (eds.) Modern Epidemiology, pp. 435–457. Lippincott Williams & Wilkins, Philadelphia (1998)
Buehler, J.W., et al.: Syndromic Surveillance and Bioterrorism-related Epidemics. Emerg. Infect. Dis. 9, 1197–1204 (2003)
Conner, C.F.: Review of efforts to protect the agricultural sector and food supply from a deliberate attack with a biological agent, a toxin or a disease directed at crops and livestock. Bio-security and Agro-terrorism (July 20, 2005)
Conti, L.: Petborne Zoonoses: Detection and Surveillance Challenges. In: Burroughs, T., Knobler, S., Lederberg, J. (eds.) The Emergence of Zoonotic Diseases: Understanding the Impact on Animal and Human Health, National Academy Press, Washington (2002)
Dato, V., Wagner, M.M., Fapohunda, A.: How Outbreaks of Infectious Disease are Detected: A Review of Surveillance Systems and Outbreaks. Public Health Rep. 119, 464–471 (2004)
Davis, R.G.: The ABCs of bioterrorism for veterinarians, focusing on Category A agents. J. Am. Vet. Med. Assoc. 224, 1084–1095 (2004)
Doherr, M.G., Audige, L.: Monitoring and surveillance for rare health-related events: a review from the veterinary perspective. Philos. Trans. R. Soc. Lond. B Biol. Sci. 356, 1097–1106 (2001)
Engle, M.J.: The Value of an "Early Warning" Surveillance System for Emerging Diseases, National Pork Board (2000)
Glickman, L.T., et al.: Purdue University-Banfield National Companion Animal Surveillance Program for Emerging and Zoonotic Diseases. Vector Borne Zoonotic Dis. 6, 14–23 (2006)
Green, M.S., Kaufman, Z.: Surveillance for Early Detection and Monioring of Infectious Disease Outbreaks Associated with Bioterrorism. Isr. Med. Assoc. J. 4, 503–506 (2002)
Henning, K.J.: Syndromic Surveillance. In: Smolinski, M.S., Hamburg, M.A., Lederberg, J. (eds.) Microbial Threats to Health: Emergence, Detection, and Response, National Academy Press, Washington (2003)
Johnson, H.A., Wagner, M.M., Saladino, R.A.: A New Method for Investigating Non-traditional Biosurveillance Data: Studying Behaviors Prior to Emergency Department Visits (2005)
Kaufmann, A.F., Meltzer, M.I., Schmid, G.P.: The Economic Impact of a Bioterrorist Attack: Are Prevention and Postattack Intervention Programs Justifiable? Emerg. Infect. Dis. 3, 83–94 (1997)
Kearney, B.: Strengthening Safeguards Against Disease Outbreaks. In Focus 5(2) (2005)
Kelsey, H.: Improvements in methodologies for tracking infectious disease needed. The Newsbulletin. Los Alamos National Laboratory (January 13, 2005)
Lucas, J.M.: Counted Data CUSUM’s. Technometrics 27, 129–144 (1985)
Mauer, W.A., Kaneene, J.B.: Integrated Human-Animal Disease Surveillance. Emerg. Infect. Dis. 11, 1490–1491 (2005)
Moodie, M., et al.: Biological Terrorism in the United States: Threat, Preparedness, and Response, Chemical and Biological Arms Control Institute (November 2000)
National Research Council. Animal Health at the Crossroads: Preventing, Detecting, and Diagnosing Animal Diseases. The National Academy of Sciences, Washington, D.C. (July 2005)
Power, C.: Passive Animal Disease Surveillance in Canada: A Benchmark. In: Proceedings of a CAHNet Workshop, November 1999, Canadian Food Inspection Agency (1999)
Shaffer, L.E., et al.: Evaluation of Microbiology Orders from two Veterinary Diagnostic Laboratories as Potential Data Sources for Early Outbreak Detection. Adv Disease Surveil. forthcoming
Shephard, R., Aryel, R.M., Shaffer, L.: Animal Health. In: Wagner, M.M., Moore, A.W., Aryel, R.M. (eds.) Handbook of Biosurveillance, pp. 111–127. Elsevier Inc., New York (2006)
Sosin, D.: Draft Framework for Evaluating Syndromic Surveillance Systems. J. Urban Health 80, i8–i13 (2003)
Tsui, F.-C., et al.: Value of ICD-9-Coded Chief Complaints for Detection of Epidemics. In: Proceedings of the AMIA Annual Symposium, pp. 711–715 (2001)
Vourc’h, G., et al.: Detecting Emerging Diseases in Farm Animals through Clinical Observations. Emerg. Infect. Dis 12, 204–210 (2006)
Wagner, M.M., Aryel, R., Dato, V.: Availability and Comparative Value of Data Elements Required for an Effective Bioterrorism Detection System. Agency for Healthcare Research and Quality (November 28, 2001)
Witt, C.J.: Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE). Department of Defense Global Emerging Infections System (December 11, 2003)
Woolhouse, M.E.J.: Population biology of emerging and re-emerging pathogens. Trends Microbiol. 10, S3–S7 (2002)
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Shaffer, L. et al. (2007). Early Outbreak Detection Using an Automated Data Feed of Test Orders from a Veterinary Diagnostic Laboratory. In: Zeng, D., et al. Intelligence and Security Informatics: Biosurveillance. BioSurveillance 2007. Lecture Notes in Computer Science, vol 4506. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72608-1_1
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DOI: https://doi.org/10.1007/978-3-540-72608-1_1
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