WAVLD Symposium Handbook_V4.indd - csiro
WAVLD Symposium Handbook_V4.indd - csiro
WAVLD Symposium Handbook_V4.indd - csiro
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World Association of Veterinary Laboratory Diagnosticians – 13 th International <strong>Symposium</strong>, Melbourne, Australia, 11-14 November 2007<br />
1030 - 1230 Concurrent Session 2.4 - Quality Assurance<br />
LABS OF THE FUTURE<br />
A CULTURAL SHIFT IN CANADA FOR FOREIGN ANIMAL DISEASE (FAD) DETECTION<br />
D. Ridd & A. Copps, National Centre for Foreign Animal Disease, Canadian Food Inspection Agency (CFIA)<br />
Presenter: Dr. R.P. Kitching, Director, National Centre for Foreign Animal Disease, CFIA<br />
The success of a country’s capability for rapid detection of potentially epidemic animal diseases depends on<br />
many factors, one of which is laboratory diagnostic capacity and capability. Canada’s lab strategy under the<br />
Avian Influenza (AI) Pandemic Preparedness Plan brought forward the priority in 2006 to accelerate the<br />
plans and timelines for laboratory interoperability and to establish a national early warning system for<br />
perceived risks of Avian Influenza. Within 6 months, 4 federal and 7 provincial laboratories in the Canadian<br />
Animal Health Surveillance Network (CAHSN) were trained, equipped and approved for testing the presence<br />
of AI virus. The CAHSN was developed to consolidate the efforts across provincial, territorial and federal<br />
jurisdictions to respond to animal disease threats that could affect animal health, the food supply, or public<br />
health.<br />
Laboratory interoperability is a means towards meeting Canada’s requirements of an early warning system<br />
for outbreak management and emergency preparedness, planning for breaches of biosecurity and threats of<br />
bioterrorism. Quality Assurance (QA) Support and Laboratory Support although separate programs within<br />
CAHSN, are working together in achieving these goals and objectives. These programs’ are designed to<br />
deliver and harmonize quality assurance and laboratory systems through collaborations between<br />
federal/provincial animal health laboratories across Canada. The provincial laboratories as first responder<br />
laboratories will have the capacity and capability to rapidly diagnose foreign animal diseases, having been<br />
trained in FAD test methods and receiving the necessary supports towards lab infrastructure.<br />
The CAHSN Quality Assurance Support Program delivers support to the development of internal quality<br />
systems for FAD within the network laboratories with the goal of the labs achieving ISO/IEC 17025<br />
accreditation. Based on site evaluations, funding has been allocated to establish and aid the implementation<br />
and maintenance of a standardized quality management program and to support the achievement of<br />
ISO/IEC 17025 accreditation. Resources were provided for QA Officers, ISO training, and ongoing<br />
accreditation costs. The CAHSN QA Support Program Manager liaises with the Network Laboratory<br />
Directors, Laboratory Managers/Supervisors and Quality Assurance Officers in a consulting, advisory<br />
capacity and provides oversight regarding all QA aspects in network laboratories relating to FAD testing.<br />
The CAHSN Laboratory Support Program ensures the animal health laboratories sharebest diagnostic<br />
practice, particularly for the major animal diseases such as Foot-and-Mouth Disease, Classical Swine Fever,<br />
Avian Influenza and Newcastle Disease, and establishes common diagnostic protocols and reagents, while<br />
ensuring diagnostic competence is maintained by the regular distribution and evaluation of proficiency<br />
panels. Where necessary, new equipment is provided to allow all network laboratories to make use of the<br />
most sensitive and specific diagnostic tests available. The CAHSN Laboratory Support Manager liaises with<br />
the Network Laboratory Directors and Laboratory Managers/Supervisors in a consulting, advisory capacity<br />
regarding all aspects of training/certification for network labs, encompassing the areas of equipment advice<br />
and purchases, reagents/supplies, surge capacity issues and is directly involved in training and certification<br />
of analysts.<br />
Conclusion:<br />
Canada’s jurisdictional requirements for diagnostic surge capacity are being achieved through harmonization<br />
and standardization of quality assurance and lab interoperability. The CAHSN Quality Assurance Support<br />
Program and the Laboratory Support Program are integral in aiding the network laboratories in the detection<br />
of emerging animal disease threats which could have zoonotic potential. This capability of early diagnosis<br />
and control is essential to minimizing the human health and economic consequences to the country.<br />
Ann Copps, CAHSN QA Support Manager coppsa@inspection.gc.ca<br />
Deidre Ridd, CAHSN Lab Support Manager dridd@inspection.gc.ca<br />
Wed 14 November<br />
Wed 14 November<br />
World Association of Veterinary Laboratory Diagnosticians – 13 th International <strong>Symposium</strong>, Melbourne, Australia, 11-14 November 2007<br />
LABORATORY-BASED EARLY ANIMAL DISEASE DETECTION UTILIZING A<br />
PROSPECTIVE SPACE-TIME PERMUTATION SCAN STATISTIC<br />
*C.N. Carter, University of Kentucky; A. Odoi, University of Tennessee; J. Riley, Hensley and Associates, Lexington, Kentucky; J. Smith,<br />
University of Kentucky; R. Stepusin, University of Kentucky;<br />
T. Cattoi, University of Kentucky; S. McCollum, University of Kentucky<br />
Introduction<br />
Veterinary diagnostic laboratories are in a unique position to analyze data from large numbers of clinical<br />
cases and to help with the early detection of health problems. The aim of this study is to develop a system<br />
for early detection of clusters of health events in animal populations using diagnostic laboratory data. The<br />
system provides near-real-time cluster alarms/alerts and medical situational awareness. Thus, it aids in the<br />
decision-making process related to conducting field investigations and/or mounting appropriate and timely<br />
medical responses. The system could, as well, be used to detect clusters of animal health events of public<br />
health significance (e.g. bioterrorist attacks).<br />
Material & methods<br />
Kulldorff’s prospective space-time permutation scan statistic was utilized in this project. The method uses a<br />
cylindrical window of varying size to scan for potential clusters in space and time. The statistic only requires<br />
case health events (e.g. confirmed diagnoses, deaths), thereby eliminating the need for population-at-risk<br />
data. We developed an engine that automatically performs statistical analysis at the close of business each<br />
day. A likelihood ratio test is used to test statistical significance of potential clusters. Identified clusters are<br />
automatically mapped for daily epidemiological decision-making. Here we present the methodology that was<br />
used to detect outbreaks of bovine blackleg and equine leptospirosis which occurred in 2006-2007.<br />
Results<br />
The system successfully detected significant clusters of bovine blackleg and equine leptospirosis cases<br />
during the 2006-2007 outbreaks. The detection of these clusters allowed the laboratory epidemiology<br />
section to mount a timely awareness campaign that included email alerts, field investigations, and direct<br />
consults with practicing veterinarians. Although not verifiable, this campaign likely led to enhanced<br />
vaccination efforts against bovine blackleg and aggressive MAT titer screening of horse farms for possible<br />
prophylactic treatment of mares. Blackleg losses for the 2006-2007 season are estimated at over $500,000<br />
USD for eastern Kentucky alone. In addition, economic losses reported by 13 horse farms that experienced<br />
equine leptospiral abortion amounted to over $3 million USD for the 2006-2007 season alone. Earlier<br />
medical responses to outbreaks should result in reducing economic losses.<br />
Discussions & conclusions<br />
The appropriate analysis of laboratory-detected animal health events can be successfully used to generate<br />
medical alerts which can lead to timely and appropriate responses that can improve overall health outcomes<br />
and reduced economic losses. Further studies will be conducted to assess the sensitivity and specificity of<br />
medical alerts generated by this system.<br />
References<br />
Carter CN, Odoi A: Diagnostic Laboratory Surveillance and Epidemiology: Serving Agriculture and Public<br />
Health, Proceed 143 rd AVMA Convention, CD-ROM, July, 2006.<br />
Carter CN: Equine Disease Surveillance in Kentucky, Equine Disease Quarterly, Oct, 2005, Vol. 14, No. 4,<br />
pp 5-6.<br />
Bradley CA, Rolka H, et al. BioSense: implementation of a national early event detection and situational<br />
awareness system. MMWR Morb Mortal Wkly Rep. 2005 Aug 26; 54 Suppl: 11-9.<br />
Kulldorff M, Heffernan R, Hartman J, Assuncao R, Mostashari F. A space-time permutation scan statistic for<br />
disease outbreak detection. PLoS Medicine 2005 March; 2(3): 216-224.<br />
Norström M, Pfeiffer DU, Jarp J. A space-time cluster investigation of an outbreak of acute respiratory<br />
disease in Norwegian cattle herds. Preventive Veterinary Medicine, 47: 107-119, 2000.<br />
Perez AM, Ward MP, Torres P, Ritacco V. Use of spatial statistics and monitoring data to identify clustering<br />
of bovine tuberculosis in Argentina. Preventive Veterinary Medicine, 56: 63-74, 2002.