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               <dc:title>Assessing the variability in transmission of bovine tuberculosis&#xd;
                within Spanish cattle herds</dc:title>
               <dc:creator>Ciaravino, Giovanna</dc:creator>
               <dc:creator>García Saenz, Ariadna</dc:creator>
               <dc:creator>Cabras, S.</dc:creator>
               <dc:creator>Allepuz, Alberto</dc:creator>
               <dc:creator>Casal, J.</dc:creator>
               <dc:creator>García-Bocanegra, Ignacio</dc:creator>
               <dc:creator>Koeijer, A. De</dc:creator>
               <dc:creator>Gubbins, S.</dc:creator>
               <dc:creator>Saez, J. L.</dc:creator>
               <dc:creator>Cano Terriza, D.</dc:creator>
               <dc:creator>Napp, Sebastian</dc:creator>
               <dc:subject>Tuberculosi en els animals</dc:subject>
               <dc:subject>Espanya</dc:subject>
               <dc:subject>Tuberculosis in animals</dc:subject>
               <dc:subject>Spain</dc:subject>
               <dc:description>In Spain, despite years of efforts to eradicate bovine&#xd;
                tuberculosis (bTB), the disease is still endemic, with some&#xd;
                areas of high prevalence. In this context, the surveillance and&#xd;
                control plans may need to be re-evaluated, and understanding the&#xd;
                dynamics of bTB spread within Spanish herds may help to develop&#xd;
                new strategies for reducing the time for detection of infected&#xd;
                herds and for the elimination of bTB from the herds already&#xd;
                infected. Here, we developed a compartmental stochastic model to&#xd;
                simulate bTB within-herd transmission, fed it with&#xd;
                epidemiological data from 22 herds (obtained from a previous&#xd;
                work) and carried out parameter inference using Approximate&#xd;
                Bayesian Computing methods We also estimated the "Within-herd&#xd;
                transmission potential Number" (Rh), i.e. the average number of&#xd;
                secondary cases generated by a single animal infected introduced&#xd;
                into a totally susceptible herd, considering different scenarios&#xd;
                depending on the frequency of controls. The median global values&#xd;
                obtained for the transmission parameters were: for the&#xd;
                transmission coefficient (beta), 0.014 newly infected animals&#xd;
                per infectious individual per day (i.e. 5.2 per year), for the&#xd;
                rate at which infected individuals become infectious (alpha),&#xd;
                0.01 per day (equivalent to a latent period of 97days), and for&#xd;
                the rate at which infected individuals become reactive to the&#xd;
                skin test (alpha1), 0.08 per day (equivalent to a period of&#xd;
                12days for an infected animal to become reactive). However, the&#xd;
                results also evidenced a great variability in the estimates of&#xd;
                those parameters (in particular beta and alpha) among the 22&#xd;
                herds. Considering a 6-month interval between tests, the mean Rh&#xd;
                was 0.23, increasing to 0.82 with an interval of 1year, and to&#xd;
                2.01 and 3.47 with testing intervals of 2 and 4 years,&#xd;
                respectively.</dc:description>
               <dc:date>2018-06-01T13:25:05Z</dc:date>
               <dc:date>2018-06-01T13:25:05Z</dc:date>
               <dc:date>2018-06</dc:date>
               <dc:date>2018-03-07T19:00:33Z</dc:date>
               <dc:type>info:eu-repo/semantics/article</dc:type>
               <dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
               <dc:relation>Reproducció del document publicat a:&#xd;
                http://dx.doi.org/10.1016/j.epidem.2018.01.003</dc:relation>
               <dc:relation>Epidemics, 2018, vol. 23, p. 110-120</dc:relation>
               <dc:relation>http://dx.doi.org/10.1016/j.epidem.2018.01.003</dc:relation>
               <dc:rights>cc by-nc-nd (c) Elsevier, 2018</dc:rights>
               <dc:rights>http://creativecommons.org/licenses/by-nc-nd/3.0/es/</dc:rights>
               <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
               <dc:publisher>Elsevier</dc:publisher>
               <dc:source>Articles publicats en revistes (ISGlobal)</dc:source>
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