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Evaluations of the Disease Surveillance Centre network in Scotland: What parts has it reached?
Duncan, Andrew J; Eze, Jude I; Brülisauer, Franz; Stirling, Julie M; Jennings, Amy; Tongue, Sue C.
Afiliación
  • Duncan AJ; Centre for Epidemiology and Planetary Health, Department of Veterinary and Animal Science, Northern Faculty, Scotland's Rural College (SRUC), Inverness, United Kingdom.
  • Eze JI; UHI Inverness, University of the Highlands and Islands, Inverness, United Kingdom.
  • Brülisauer F; Centre for Epidemiology and Planetary Health, Department of Veterinary and Animal Science, Northern Faculty, Scotland's Rural College (SRUC), Inverness, United Kingdom.
  • Stirling JM; Biomathematics and Statistics Scotland, Edinburgh, United Kingdom.
  • Jennings A; SRUC Veterinary Services, Inverness, United Kingdom.
  • Tongue SC; Centre for Epidemiology and Planetary Health, Department of Veterinary and Animal Science, Northern Faculty, Scotland's Rural College (SRUC), Inverness, United Kingdom.
Front Vet Sci ; 10: 1099057, 2023.
Article en En | MEDLINE | ID: mdl-36896290
Regular evaluation is a prerequisite for systems that provide surveillance of animal populations. Scotland's Rural College Veterinary Services' Disease Surveillance Centre (DSC) network plays an integral part in surveillance to detect new and re-emerging threats within animal populations, predominantly livestock. In response to surveillance reviews and proposed changes to the network, an initial evaluation of diagnostic submissions data in 2010 to mid-2012 established a baseline "footprint," while highlighting challenges with the data. In this recent evaluation for the period 2013­2018, we developed a new denominator using a combination of agricultural census and movement data, to identify relevant holdings more accurately. Iterative discussions between those processing submissions data and those involved in collection at source took place to understand the intricacies of the data, establish the most appropriate dataset, and develop the processes required to optimise the data extraction and cleansing. The subsequent descriptive analysis identifies the number of diagnostic submissions, the number of unique holdings making submissions to the network and shows that both the surrounding geographic region of, and maximum distance to the closest DSC vary greatly between centres. Analysis of those submissions classed as farm animal post-mortems also highlights the effect of distance to the closest DSC. Whether specific differences between the time periods are due to changes in the behavior of the submitting holdings or the data extraction and cleaning processes was difficult to disentangle. However, with the improved techniques producing better data to work with, a new baseline footprint for the network has been created. This provides information that can help policy makers and surveillance providers make decisions about service provision and evaluate the impact of future changes. Additionally, the outputs of these analyses can provide feedback to those employed in the service, providing evidence of what they are achieving and why changes to data collection processes and ways of working are being made. In a different setting, other data will be available and different challenges may arise. However, the fundamental principles highlighted in these evaluations and the solutions developed should be of interest to any surveillance providers generating similar diagnostic data.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Screening_studies Idioma: En Revista: Front Vet Sci Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Screening_studies Idioma: En Revista: Front Vet Sci Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Suiza