Use of laboratory data to reduce the time taken to detect new diseases: VIDA to FarmFile
| Autor: | J. Willmington, Alasdair J. C. Cook, J. B. M. Ryan, A. S. Milnes, G. P. David, J. C. Gibbens, S. Robertson, John W. Wilesmith |
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| Rok vydání: | 2008 |
| Předmět: |
Body system
Veterinary medicine medicine.medical_specialty General Veterinary Databases Factual business.industry Outbreak General Medicine Disease medicine.disease Communicable Diseases Emerging Sensitivity and Specificity United Kingdom Animal Diseases Disease Outbreaks New disease Population Surveillance Epidemiology medicine Animals Humans Medical emergency Medical diagnosis business Sentinel Surveillance |
| Zdroj: | Scopus-Elsevier |
| ISSN: | 0042-4900 |
| Popis: | The analysis of laboratory data can provide information about the health of livestock populations; in Great Britain the Veterinary Investigation Diagnosis Analysis (vida) system has provided such data since 1975. However vida covers only known diagnoses, with limited epidemiological characterisation. The unexpected outbreak of bse showed that it was necessary to improve surveillance to detect new diseases, and a necessary update of the vida database for the millennium date change provided the opportunity. The information required to enhance the value of laboratory data was identified, a new form and database, ‘FarmFile’, were designed to record it, and they began to be used in 1999. The detection of new diseases depends on making comparisons with the expected or ‘usual’ levels of unexplained disease. The data are analysed quarterly to assess any changes in the levels of unexplained disease in different species, categorised in terms of clinical sign or body system, by comparison with previous years. No new diseases have been detected either through FarmFile or more traditional means since the new analyses started in earnest in 2004, but they have indicated that an unexplained event was not a new disease of concern, and developments continue to improve the system9s sensitivity and specificity. |
| Databáze: | OpenAIRE |
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