1997
DOI: 10.1016/s0167-5877(96)01083-5
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A modelling approach to the quantification of the benefits of a national surveillance programme

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Cited by 7 publications
(3 citation statements)
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“…However, this publication is limited with respect to timeliness and accuracy, as it heavily depends on the quality of veterinary services and the MO&SS in place in individual countries. Sanson & Thornton (1997) demonstrated the influence of the quality of surveillance on the time needed for the detection of the first case of a newly introduced disease. Using outbreaks of Salmonella dublin as an example (an exotic agent in the country under consideration), it was shown, that a reduced surveillance programme could increase the median time to diagnosis from 4 weeks to 40 weeks.…”
Section: Monitoring and Surveillance Data And Their Effect On The Rismentioning
confidence: 99%
“…However, this publication is limited with respect to timeliness and accuracy, as it heavily depends on the quality of veterinary services and the MO&SS in place in individual countries. Sanson & Thornton (1997) demonstrated the influence of the quality of surveillance on the time needed for the detection of the first case of a newly introduced disease. Using outbreaks of Salmonella dublin as an example (an exotic agent in the country under consideration), it was shown, that a reduced surveillance programme could increase the median time to diagnosis from 4 weeks to 40 weeks.…”
Section: Monitoring and Surveillance Data And Their Effect On The Rismentioning
confidence: 99%
“…This category mostly included scenario tree models ( n = 6) [59, 75, 120, 125127], although it also comprised other decision methods such as neural networks [81, 128] or the info-gap decision theory [124]. The scenario tree and the info-gap models reviewed were used for the evaluation of surveillance systems ( n = 7), and also to demonstrate how the likelihood of early disease detection can be improved by combining the most appropriate passive and/or active strategies in surveillance programmes for exotic and re-emerging threats.…”
Section: Resultsmentioning
confidence: 99%
“…Simulation models (n = 10) [30,41,97,107,[119][120][121][122][123][124] aimed to mimic disease transmission in a population in time, and sometimes in space, terms in specific circumstances. The outputs from the simulations could be used for estimating the risk of disease spread (n = 5).…”
Section: Simulation Modellingmentioning
confidence: 99%