Literature DB >> 23015726

Evaluation of methods for measuring coverage and representativeness of an early-warning disease surveillance system.

E R Ely1, R E Nicholson, L C Snow, B W Strugnell, S M Williamson, A S Milnes, E N Watson, L J Hoinville.   

Abstract

Early-warning surveillance provides an essential component of the evidence required to protect animal health. Assessing the proportion of the population included in surveillance systems (coverage) provides a measure of the effectiveness of early-warning surveillance, and contributes to ensuring that these systems are efficient. This paper describes an investigation of methods used for assessing the coverage and representativeness of the 'FarmFile' early-warning surveillance system. This system uses information collected with samples submitted to diagnostic laboratories by private veterinary practitioners in England and Wales. Available data on pig holdings and veterinary practices in four English counties, selected to represent a range of diverse population characteristics, were supplemented using surveys of veterinary practices. Coverage assessments were based on submissions made to FarmFile in 2009. The proportion of holdings covered varied from 5-62 per cent in Devon and Cumbria, and 16-97 per cent in Norfolk and East Riding of Yorkshire. The results suggest that while the proportion of individual pigs covered by the current early-warning surveillance system is high, small and breeding-only holdings in some regions may be poorly covered. Coverage assessments vary depending on the methods used for their assessment, and multiple assessment methods can provide a 'range' within which coverage lies.

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Year:  2012        PMID: 23015726     DOI: 10.1136/vr.100854

Source DB:  PubMed          Journal:  Vet Rec        ISSN: 0042-4900            Impact factor:   2.695


  3 in total

Review 1.  Systematic review of surveillance systems and methods for early detection of exotic, new and re-emerging diseases in animal populations.

Authors:  V Rodríguez-Prieto; M Vicente-Rubiano; A Sánchez-Matamoros; C Rubio-Guerri; M Melero; B Martínez-López; M Martínez-Avilés; L Hoinville; T Vergne; A Comin; B Schauer; F Dórea; D U Pfeiffer; J M Sánchez-Vizcaíno
Journal:  Epidemiol Infect       Date:  2014-09-12       Impact factor: 4.434

Review 2.  Animal health syndromic surveillance: a systematic literature review of the progress in the last 5 years (2011-2016).

Authors:  Fernanda C Dórea; Flavie Vial
Journal:  Vet Med (Auckl)       Date:  2016-11-15

3.  Equine syndromic surveillance in Colorado using veterinary laboratory testing order data.

Authors:  Howard Burkom; Leah Estberg; Judy Akkina; Yevgeniy Elbert; Cynthia Zepeda; Tracy Baszler
Journal:  PLoS One       Date:  2019-03-01       Impact factor: 3.240

  3 in total

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