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DOI 10.1016/j.prevetmed.2017.01.009

Медицинская библиотека · Preventive veterinary medicine · 2017

Expanding veterinary biosurveillance in Washington, DC: The creation and utilization of an electronic-based online veterinary surveillance system.

Hennenfent Andrew, DelVento Vito, Davies-Cole John, Johnson-Clarke Fern

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Аннотация

OBJECTIVES

To enhance the early detection of emerging infectious diseases and bioterrorism events using companion animal-based surveillance.

METHODS

Washington, DC, small animal veterinary facilities (n=17) were surveyed to determine interest in conducting infectious disease surveillance. Using these results, an electronic-based online reporting system was developed and launched in August 2015 to monitor rates of canine influenza, canine leptospirosis, antibiotic resistant infections, canine parvovirus, and syndromic disease trends.

RESULTS

Nine of the 10 facilities that responded expressed interest conducting surveillance. In September 2015, 17 canine parvovirus cases were reported. In response, a campaign encouraging regular veterinary preventative care was launched and featured on local media platforms. Additionally, during the system's first year of operation it detected 5 canine leptospirosis cases and 2 antibiotic resistant infections. No canine influenza cases were reported and syndromic surveillance compliance varied, peaking during National Special Security Events.

CONCLUSIONS

Small animal veterinarians and the general public are interested in companion animal disease surveillance. The system described can serve as a model for establishing similar systems to monitor disease trends of public health importance in pet populations and enhance biosurveillance capabilities.

Для цитирования: Hennenfent Andrew, DelVento Vito, Davies-Cole John, Johnson-Clarke Fern. Expanding veterinary biosurveillance in Washington, DC: The creation and utilization of an electronic-based online veterinary surveillance system.. Preventive veterinary medicine. 2017. DOI: 10.1016/j.prevetmed.2017.01.009.

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