Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2012 Oct 16:8:192.
doi: 10.1186/1746-6148-8-192.

Identifying an outbreak of a novel swine disease using test requests for porcine reproductive and respiratory syndrome as a syndromic surveillance tool

Affiliations

Identifying an outbreak of a novel swine disease using test requests for porcine reproductive and respiratory syndrome as a syndromic surveillance tool

Terri L O'Sullivan et al. BMC Vet Res. .

Abstract

Background: Animal disease monitoring and surveillance are crucial for ensuring the health of animals, humans and the environment. Many studies have investigated the utility of monitoring syndromes associated with data from veterinary laboratory submissions, but no research has focused on how negative test results from a veterinary diagnostic laboratory data can be used to improve our knowledge of disease outbreaks. For example, if a diagnostic laboratory was seeing a disproportionate number of negative test results for a known disease could this information be an indication of a novel disease outbreak? The objective of this study was to determine the association between the porcine circovirus associated disease (PCVAD) outbreak in Ontario 2004-2006 and the results of porcine reproductive and respiratory syndrome virus (PPRSV) enzyme-linked immunosorbent assay (ELISA) and the results of PRRSV polymerase chain reaction (PCR) diagnostic tests requested by veterinarians.

Results: Retrospective data were collected from the Animal Health Laboratory (AHL) at the University of Guelph, Guelph, Ontario Canada and were comprised of weekly counts of PRRSV ELISA and PRRSV PCR diagnostic tests requested by swine practitioners from 2000-2007. The results of the PRRSV ELISA and PRRSV PCRs were analysed separately in two models using logistic regression with the dependent variables being: the weekly probability of PRRSV ELISA positivity, and the weekly probability of PRRSV PCR positivity, respectively. The weekly probability of PRRSV PCR positivity decreased during the PVCAD outbreak (OR=0.66, P=0.01). The weekly probability of PRRSV ELISA positivity was not associated with the PCVAD outbreak.

Conclusions: The results of this study showed that during the PCVAD outbreak in Ontario from December 2004-May 2006, the probability of a positive PRRSV PCR at the AHL decreased. We conclude that when a decrease in test positivity occurs for a known disease, it may suggest that a new disease agent is emerging in the population. Hence, monitoring the test results of commonly used first-order tests for a known disease (e.g. PRRSV) has the potential to be a unique form of syndromic data for the timely identification of novel disease outbreaks in swine populations.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Distribution of the weekly probability of PRRSV ELISA positivity at the Animal Health Laboratory from January 1, 2000 to April 30, 2007.
Figure 2
Figure 2
Distribution of the weekly probability of PRRSV PCR positivity at the Animal Health Laboratory from January 1, 2000 to April 30, 2007.
Figure 3
Figure 3
Time series plot of the weekly count of PRRSV ELISAs requested and the weekly probability of PRRSV ELISA positivity at the Animal Health Laboratory from January 1, 2000 to April 30, 2007.
Figure 4
Figure 4
Time series plot of the weekly count of PRRSV PCR tests requested and the weekly probability of PRRSV PCR positivity at the Animal Health Laboratory from January 1, 2000 to April 30, 2007.
Figure 5
Figure 5
Partial autocorrelation function plot of the Pearson residuals for Model A.
Figure 6
Figure 6
Partial autocorrelation function plot of the Pearson residuals for Model B.

Similar articles

Cited by

References

    1. O’Toole D. Monitoring and investigating natural disease by veterinary pathologists in diagnostic laboratories. Vet Pathol. 2010;47(1):40–44. doi: 10.1177/0300985809354349. - DOI - PubMed
    1. Doherr MG, Audige L. Monitoring and surveillance for rare health-related events: a review from the veterinary perspective. Philos Trans R Soc Lond B Biol Sci. 2001;356(1411):1097–1106. doi: 10.1098/rstb.2001.0898. - DOI - PMC - PubMed
    1. Schmitt BJ. Veterinary diagnostic laboratories and their support role for veterinary services. Rev Sci Tech. 2003;22(2):533–536. - PubMed
    1. Kloeze H, Mukhi S, Kitching P, Lees VW, Alexandersen S. Effective animal health disease surveillance using a network-enabled approach. Transbound Emerg Dis. 2010;57(6):414–419. doi: 10.1111/j.1865-1682.2010.01166.x. - DOI - PubMed
    1. Stark KDC, Nevel A. Strengths, weaknesses, opportunities and threats of the pig health monitoring systems used in England. Veterinary record: journal of the British Veterinary Association. 2009;165(16):461–465. - PubMed

Publication types

LinkOut - more resources