Stochastic modelling as a tool for planning animal-health surveys and interpreting screening-test results

Audigé, Laurent; Doherr, Marcus G.; Hauser, R.; Salman, Mo

doi:10.1016/s0167-5877(01)00182-9

Cited by 20 publications

(10 citation statements)

References 10 publications

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“…New manuals and software tools have been made available for this purpose (Cameron 1999). When good estimates of the population structure, individual animal diagnostic test characteristics, the sampling scheme and the epidemiology of the particular disease (condition) are available, simulation models can be constructed to assess the feasibility of a given targeted survey even before it is done, or assist in the interpretation of survey results (Audige¨& Beckett 1999;Audige¨et al 1999aAudige¨et al ,b, 2000Audige¨et al , 2001. One approach is to demonstrate, through stochastic modelling, the ability of a survey to discriminate between a (national) target population that is free of disease, and a population that has a given, albeit low, prevalence.…”

Section: (Iii) Areas For Improvementmentioning

confidence: 99%

“…They conclude that the approach is well suited to evaluateöand ranköthe relative e¡ectiveness of a set of surveillance systems (approaches). In a di¡erent approach, prior information on the disease status in a given target population was combined in a Bayesian approach with survey outcomes to derive an a posteriori probability of disease freedom (Audige¨et al 1999a(Audige¨et al , 2000(Audige¨et al , 2001). These and other approaches will be developed further.…”

Section: New Approaches To Improve Mosss For Rare Diseasesmentioning

confidence: 99%

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Monitoring and surveillance for rare health-related events: a review from the veterinary perspective

Doherr

Audigé

2001

Phil. Trans. R. Soc. Lond. B

130

105

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Disease monitoring and surveillance systems (MOSSs) have become one of the major components of veterinary activity. Such systems are used to assess the existing levels of prevalence, the effectiveness of control programmes and, after disease eradication, to document the continued absence of disease from a given region or zone. With decreasing disease or infection prevalence, traditional approaches become less reliable and increasingly costly. The objective of this work was to summarize and discuss methodological issues related to veterinary (animal health) MOSSs. There are considerable inconsistencies in the use of the terms 'monitoring' and 'surveillance'. Passive as well as active MOSS have their disadvantages when used for rare health-related events such as emerging and re-emerging diseases. There is a need for evaluation and improvement of these approaches. Integrated systems that call for the use of several parallel surveillance activities seem to be the favoured approach, and analytical methods to combine MOSS data from various sources into a population prevalence, or probability of disease freedom, are under development. The health and safety of the animal and human generations depends on our continuous ability to detect, monitor and control newly emerging or re-emerging livestock diseases and zoonoses rapidly. Uniform surveillance definitions, sound scientifically based approaches that use the resources and data available, and a pool of researchers and veterinary public health officials with sufficient training in epidemiology, are critically important to handle this challenging task.

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Section: (Iii) Areas For Improvementmentioning

confidence: 99%

Section: New Approaches To Improve Mosss For Rare Diseasesmentioning

confidence: 99%

Monitoring and surveillance for rare health-related events: a review from the veterinary perspective

Doherr

Audigé

2001

Phil. Trans. R. Soc. Lond. B

130

105

View full text Add to dashboard Cite

show abstract

“…The welfare of each individual animal in these facilities is of primary concern. Management of animals in captivity poses serious challenges that range from animal welfare considerations, space requirements, human skills, veterinary care and visitor satisfaction to financial requirement [1].…”

Section: Introductionmentioning

confidence: 99%

Study of Preventive Health Measures for Wildlife in Captivity: A Review of Management Approaches

B¹

2017

IJAWB

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The foundation of a medical program for zoo animals is preventive medicine. Preventive medical programs should be adaptive and include attention to individual specimens as well as the herd, troop, or flock. Components of the program include quarantine of new arrivals, periodic fecal examinations and treatments for parasites, booster vaccinations, health screening procedures, nutrition evaluation, necropsy examination of deceased specimens, and a comprehensive pest control program. Animals should be evaluated to ensure their health complies with local, state, and federal health requirements before shipment to other zoos or before release in managed reintroduction programs. Preshipment evaluations can also be used as an opportunity to assess the overall health status of the group in which the animal has been living. The present review study is illustrating the importance of the preventive measure used for wildlife into the captivity and the management and tactics to achieve this.

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“…They are especially useful for calculating the sample size required for risk-based or targeted surveillance and when disease prevalence and test characteristics are uncertain (51,52). Models are very useful for comparing the likely performance of several different sampling strategies (1,5,25,26), diagnostic tests (34) and combinations of the two before the actual implementation, thus potentially saving time and money.…”

Section: Planning Surveillance Systemsmentioning

confidence: 99%

Epidemiological models to support animal disease surveillance activities

Willeberg

Lg²,

Lind³

2011

Rev. Sci. Tech. OIE

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Epidemiological models have been used extensively as a tool in improving animal disease surveillance activities. A review of published papers identified three main groups of model applications: models for planning surveillance, models for evaluating the performance of surveillance systems and models for interpreting surveillance data as part of ongoing control or eradication programmes. Two Danish examples are outlined. The first illustrates how models were used in documenting country freedom from disease (trichinellosis) and the second demonstrates how models were of assistance in predicting the risk of future cases, detected and undetected, of a waning infection of bovine spongiform encephalopathy. Both studies were successful in advancing European policy changes to reduce the cost of surveillance to appropriate levels given the magnitude of the respective hazards.

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Stochastic modelling as a tool for planning animal-health surveys and interpreting screening-test results

Cited by 20 publications

References 10 publications

Monitoring and surveillance for rare health-related events: a review from the veterinary perspective

Monitoring and surveillance for rare health-related events: a review from the veterinary perspective

Study of Preventive Health Measures for Wildlife in Captivity: A Review of Management Approaches

Epidemiological models to support animal disease surveillance activities

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