Insiel (Italy)

<table> <tbody> <tr> <td>This document reports the work conducted in the inter-pilot and collaboration task<br> (T7.6). It includes new use cases tested in each pilot site, describes the main<br> generalization aspects of the PIXEL Platform and models and lessons learnt<br> regarding the PIXEL framework, in the four use-cases, have been included.</td> </tr> </tbody> </table> <p> </p>

to investigate the role of gender, age, province of residence, and nursing home residency on the risk of death for residents in the Friuli Venezia Giulia (FVG) Region (Northern Italy) tested positive for Covid-19, considering recovery as a competing event. The secondary objective is to describe the impact of the Covid-19 epidemic in FVG and in the Regions of Northern and Central Italy in terms of incidence and mortality compared to the national data. retrospective cohort study. resident population in FVG in the period between 29 February and 25 June 2020. in order to describe the impact of the Covid-19 outbreak in FVG, in terms of incidence and mortality compared to the national data, the standardized incidence (SIR) and mortality (SMR) ratios and their respective 95% confidence intervals (95%CI) were calculated compared to the Italian population for the northern and central Regions of Italy and the autonomous Provinces (PA) of Trento and Bolzano. A retrospective cohort study was conducted on subjects residing in FVG to whom at least one naso-oropharyngeal swab (hereafter, named swab) resulted positive for Covid-19. For each subject included in the cohort, the observation period started with the first positive swab and ended with the first of the following events: death, recovery or censored, which means that at the end of the observation period the subject was still alive and positive. The cause of death was assigned to Covid-19 if a subject had not yet recovered at the time when the event occurred. Cohort members were considered recovered after two negative consecutive swabs. The sub-hazard ratio (SHR) was estimated by applying the regression model of competing risks by Fine and Gray, in which the event of interest was the death caused by Covid-19 and the competing event was recovery. The explanatory variables included in the multiple models are: gender, age at the beginning of the observation period, the Province of residence, and nursing home residency. The cause-specific hazard was estimated using Cox proportional hazard regression. during the observation period, 3,305 cases and 345 deaths were recorded in FVG; SIR and SMR resulted, respectively, equal to 0.64 (95%CI 0.61-0.68) and 0.43 (95%CI 0.37-0.50). The FVG was the Northern Region one with the lowest incidence and mortality. The cohort consisted of 3,121 residents in FVG with at least one swab with a positive Covid-19 result during the study period. The SHR of dying for Covid-19 is equal to 16.13 (95%CI 9.73-26.74) for people with age 70-79 years and 35.58 (95%CI 21.77-58.15) with age >=80 years respect those with age <70 years. It is higher in males (SHR 1.71; 95%CI 1.34-2.17). There is no evidence that being resident in a nursing home affects the SHR (SHR 0.91 and 95%CI 0.69-1.20). As regards the province as an explanatory variable, the sub-hazard of death in the province of Trieste appears to overlap to the sub-hazard of Pordenone used as a reference; for the provinces of Udine and Gorizia the sub-hazards seem lower than the reference. while other Northern Regions and autonomous Provinces show higher standardized incidence and mortality compared with Italy, FVG and Veneto do not. In FVG, male gender and age are important determinants of death while there is no evidence that the condition of guest in a nursing home increases the sub-hazard of death.

BackgroundHealth databases are a promising resource for epidemiological studies on medications safety during pregnancy. The reliability of information on medications exposure and pregnancy timing is a key methodological issue. This study (a) compared maternal self-reports and database information on medication use, gestational age, date of delivery; (b) quantified the degree of agreement between sources; (c) assessed predictors of agreement.MethodsPregnant women recruited in a prenatal clinic in Friuli Venezia Giulia (FVG) region, Italy, from 2007 to 2009, completed a questionnaire inquiring on medication use during pregnancy, gestational age and date of delivery. Redeemed prescriptions and birth certificate records were extracted from regional databases through record linkage. Percent agreement, Kappa coefficient, prevalence and bias-adjusted Kappa (PABAK) were calculated. Odds Ratio (OR), with 95 % confidence interval (95 % CI), of ≥1 agreement was calculated through unconditional logistic regression.ResultsThe cohort included 767 women, 39.8 % reported medication use, and 70.5 % were dispensed at least one medication. Kappa and PABAK indicated almost perfect to substantial agreement for antihypertensive medications (Kappa 0.86, PABAK 0.99), thyroid hormones (0.88, 0.98), antiepileptic medications (1.00, 1.00), antithrombotic agents (0.70, 0.96). PABAK value was greater than Kappa for medications such as insulin (Kappa 0.50, PABAK 0.99), antihistamines for systemic use (0.50, 0.99), progestogens (0.28, 0.79), and antibiotics (0.12, 0.63). Adjusted OR was 0.48 (95 % CI 0.26; 0.90) in ex- vs. never smokers, 0.64 (0.38; 1.08) in < high school vs. university, 1.55 (1.01; 2.37) in women with comorbidities, 2.25 (1.19; 4.26) in those aged 40+ vs. 30–34 years.Gestational age matched exactly in 85.2 % and date of delivery in 99.5 %.ConclusionsFor selected medications used for chronic conditions, the agreement between self-reports and dispensing data was high. For medications with low to very low prevalence of use, PABAK provides a more reliable measure of agreement. Maternal reports and dispensing data are complementary to each other to increase the reliability of information on the use of medications during pregnancy. Birth certificates provide reliable data on the timing of pregnancy. FVG health databases are a valuable source of data for pregnancy research.Electronic supplementary materialThe online version of this article (doi:10.1186/s12884-015-0745-3) contains supplementary material, which is available to authorized users.

While single-domain and application-specific “organized networks” are known and have been in use throughout history, the concept of virtual organizations (VO) as such is very young (Camarinha-Matos, Banahan, &amp; Sousa, 2004). In addition, virtual organizations encompass a wide range of typologies in structure, topology, and time span, as well as life cycle coverage (Karvonen, Salkari, &amp; Ollus, 2005). Even though specific categories of VOs are more and more understood (i.e. supply chains, extended enterprises and other types of networks) and systematically supported by dedicated methods and tools, the “management” of their activities in terms of fostering the coordinated target achievement is still in its beginnings. Hence the management of generic VOs is even less systematically researched, which in itself constitutes a major challenge. It is important to note that VO management is about the management of business processes going over and across the VO members, it is not about the management of the constituent members themselves. VO management denotes the organization, allocation, and coordination of resources and their activities, as well as their interorganizational dependencies, to achieve the objectives of the VO within the required time, cost, and quality frame (ECOLEAD, 2005).

Accuracy in discriminating rigid from nonrigid motion was investigated for orthographic projections of three-dimension rotating objects. In 3 experiments the hypothesis that magnitudes of angular velocity are misperceived in the kinetic depth effect was tested, and in 4 other experiments the hypothesis that misperceiving angular velocities leads to misperceiving rigidity was tested. The principal findings were (a) the magnitude of perceived angular velocity is derived heuristically as a function of a property of the first-order optic flow called deformation and (b) perceptual performance in discriminating rigid from nonrigid motion is accurate in cases when the variability of the deformations of the individual triplets of points of the stimulus displays favors this interpretation and not accurate in other cases.