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The concept of openness to research output has been strengthened by the current EU funding research programme Horizon 2020. In early 2017 the BISA (Bibliosan for Open Science) inter-institutional Working Group, including scientific information experts mainly from Istituto Superiore di Sanità (ISS, Italian National Institute of Health), carried out a survey on the practical handling of research data produced by Bibliosan affiliated institutions, the Italian Biomedical Research Libraries Network promoted by the Italian Ministry of Health. The BISA online questionnaire collected over 2,400 responses obtained from 58 Bibliosan institutions. Among the various aspects of data management covered by the BISA questionnaire, that one referring to the need of a policy and guidelines, to be adopted by Bibliosan research institutions, for dealing with research data was deeply investigated. [ABSTRACT FROM AUTHOR]

Background: Anti-Leishmania antibodies are increasingly investigated in cats for epidemiological studies or for the diagnosis of clinical feline leishmaniosis. The immunofluorescent antibody test (IFAT), the enzyme-linked immunosorbent assay (ELISA) and western blot (WB) are the serological tests more frequently used. The aim of the present study was to assess diagnostic performance of IFAT, ELISA and WB to detect anti-L. infantum antibodies in feline serum samples obtained from endemic (n = 76) and non-endemic (n = 64) areas and from cats affected by feline leishmaniosis (n = 21) by a Bayesian approach without a gold standard. Methods: Cut-offs were set at 80 titre for IFAT and 40 ELISA units for ELISA. WB was considered positive in presence of at least a 18 KDa band. Statistical analysis was performed through a written routine with MATLAB software in the Bayesian framework. The latent data and observations from the joint posterior were simulated in the Bayesian approach by an iterative Markov Chain Monte Carlo technique using the Gibbs sampler for estimating sensitivity and specificity of the three tests. Results: The median seroprevalence in the sample used for evaluating the performance of tests was estimated at 0.27 [credible interval (CI) = 0.20-0.34]. The median sensitivity of the three different methods was 0.97 (CI: 0.86-1.00), 0.75 (CI: 0.61-0.87) and 0.70 (CI: 0.56-0.83) for WB, IFAT and ELISA, respectively. Median specificity reached 0.99 (CI: 0.96-1.00) with WB, 0.97 (CI: 0.93-0.99) with IFAT and 0.98 (CI: 0.94-1.00) with ELISA. IFAT was more sensitive than ELISA (75 vs 70%) for the detection of subclinical infection while ELISA was better for diagnosing clinical leishmaniosis when compared with IFAT (98 vs 97%). Conclusions: The overall performance of all serological techniques was good and the most accurate test for anti-Leishmania antibody detection in feline serum samples was WB. [ABSTRACT FROM AUTHOR]

Implementation of the Gibbs sampler for estimating the accuracy of multiple binary diagnostic tests in one population has been investigated. This method, proposed by Joseph, Gyorkos and Coupal, makes use of a Bayesian approach and is used in the absence of a gold standard to estimate the prevalence, the sensitivity and specificity of medical diagnostic tests. The expressions that allow this method to be implemented for an arbitrary number of tests are given. By using the convergence diagnostics procedure of Raftery and Lewis, the relation between the number of iterations of Gibbs sampling and the precision of the estimated quantiles of the posterior distributions is derived. An example concerning a data set of gastro-esophageal reflux disease patients collected to evaluate the accuracy of the water siphon test compared with 24 h pH-monitoring, endoscopy and histology tests is presented. The main message that emerges from our analysis is that implementation of the Gibbs sampler to estimate the parameters of multiple binary diagnostic tests can be critical and convergence diagnostic is advised for this method. The factors which affect the convergence of the chains to the posterior distributions and those that influence the precision of their quantiles are analyzed. [ABSTRACT FROM AUTHOR]

Spatial analysis is making an increasingly important contribution to surveillance measures due to its ability to enable immediate visualization of information on the phenomenon studied. The authors describe the spatial distribution of prevalence and incidence of brucellosis in small ruminants in Sicily between 2001 and 2005. The study was conducted by integrating geographic information systems (GIS) technology (MapInfo Professional 7.0) with SaTScan software to perform an epidemiological analysis of the municipalities and to locate problem areas. A comparison between the thematic maps produced for brucellosis in small ruminants on the basis of prevalence and incidence data for each individual year has shown that in terms of prevalence, the area identified as the secondary cluster in 2001 became the primary cluster from 2002 onwards whereas, in terms of incidence, the distribution of the clusters was irregular throughout the entire region during the years studied.