Literature DB >> 23791123

Estimating the power of a Mycobacterium bovis vaccine trial in Irish badgers.

I Aznar1, S J More, K Frankena, M C M De Jong.   

Abstract

The aim of this study was to estimate the power, using simulation techniques, of a group randomized vaccine field trial designed to assess the effect of vaccination on Mycobacterium bovis transmission in badgers. The effects of sample size (recapture percentage), initial prevalence, sensitivity and specificity of the diagnostic test, transmission rate between unvaccinated badgers, Vaccine Efficacy for Susceptibility (VES) and Vaccine Efficacy for Infectiousness (VEI), on study power were determined. Sample size had a small effect on power. Study power increased with increasing transmission rate between non-vaccinated badgers. Changes in VES had a higher impact on power than changes in VEI. However, the largest effect on study power was associated with changes in the specificity of the diagnostic test, within the range of input values that were used for all other modelled parameters. Specificity values below 99.4% yielded a study power below 50% even when sensitivity was 100% and, VEI and VES were both equal to 80%. The effect of changes in sensitivity on study power was much lower. The results from our study are in line with previous studies, as study power was dependent not only on sample size but on many other variables. In this study, additional variables were studied, i.e. test sensitivity and specificity. In the current vaccine trial, power was highly dependent on the specificity of the diagnostic test. Therefore, it is critical that the diagnostic test used in the badger vaccine trial is optimized to maximize test specificity.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Group randomized trial; Sample size; Study power; Vaccine Efficacy for Infectiousness; Vaccine Efficacy for Susceptibility

Mesh:

Substances:

Year:  2013        PMID: 23791123     DOI: 10.1016/j.prevetmed.2013.05.007

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  3 in total

1.  Optimising and evaluating the characteristics of a multiple antigen ELISA for detection of Mycobacterium bovis infection in a badger vaccine field trial.

Authors:  Inma Aznar; Klaas Frankena; Simon J More; Clare Whelan; Wayne Martin; Eamonn Gormley; Leigh A L Corner; Denise Murphy; Mart C M De Jong
Journal:  PLoS One       Date:  2014-07-01       Impact factor: 3.240

2.  Further improvement in the control of bovine tuberculosis recurrence in Ireland.

Authors:  Erik Houtsma; Tracy Ann Clegg; Margaret Good; Simon J More
Journal:  Vet Rec       Date:  2018-08-31       Impact factor: 2.695

Review 3.  Can bovine TB be eradicated from the Republic of Ireland? Could this be achieved by 2030?

Authors:  Simon J More
Journal:  Ir Vet J       Date:  2019-04-25       Impact factor: 2.146

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.