2 research outputs found
A stochastic simulation model to determine the sample size of repeated national surveys to document freedom from bovine herpesvirus 1 (BoHV-1) infection-0
<p><b>Copyright information:</b></p><p>Taken from "A stochastic simulation model to determine the sample size of repeated national surveys to document freedom from bovine herpesvirus 1 (BoHV-1) infection"</p><p>http://www.biomedcentral.com/1746-6148/3/10</p><p>BMC Veterinary Research 2007;3():10-10.</p><p>Published online 18 May 2007</p><p>PMCID:PMC1891096.</p><p></p>ways of infectious agent introduction into the susceptible domestic population were considered. + = infected, - = uninfected, D = infection status of animal, T = diagnostic test status of animal, H = herd statu
A stochastic simulation model to determine the sample size of repeated national surveys to document freedom from bovine herpesvirus 1 (BoHV-1) infection-2
<p><b>Copyright information:</b></p><p>Taken from "A stochastic simulation model to determine the sample size of repeated national surveys to document freedom from bovine herpesvirus 1 (BoHV-1) infection"</p><p>http://www.biomedcentral.com/1746-6148/3/10</p><p>BMC Veterinary Research 2007;3():10-10.</p><p>Published online 18 May 2007</p><p>PMCID:PMC1891096.</p><p></p>zes (SSS), risk-based sample sizes (RBS), with or without detection of newly infected herds, were used to define the herd prevalence () of the previous survey. Ninety-five percent confidence intervals of pre-survey probability of infection freedom and hence resulting sample sizes, were obtained by exact binomial confidence intervals based on the proportion of iterations with values < 0.2 and < 0.1%, respectively, to the total number of iterations performed. Sample sizes were calculated with Survey Toolboxassuming a population of 50,000 herds, 99% herd sensitivity for diagnostic testing and a threshold of 0.2% and 0.1%, respectively