Approaches to canine health surveillance.

摘要: Effective canine health surveillance systems can be used to monitor disease in the general population, prioritise disorders for strategic control and focus clinical research, evaluate success of these measures. The key attributes optimal data collection that support are representativeness validity disorder sustainability. Limitations areas present as selection bias, misclassification bias discontinuation system respectively. Canine sources reviewed identify their strengths weaknesses supporting effective surveillance. Insurance benefit from large well-defined denominator populations but limited by relating events claimed animals covered. Veterinary referral offer good reliability diagnoses included. Primary-care practice have advantage excellent representation dog population recording at point care veterinary professionals may encounter problems technical difficulties related management analysis datasets. Questionnaire surveys speed low cost suffer response rates, poor validation, recall ill-defined information. scheme well-characterised animal reflect during voluntary submissions process. Formal UK passive chronic under-reporting bias. It is concluded active using secondary provide resource