6 research outputs found

    SARS-CoV-2 transmission by asymptomatic healthcare workers positive to screening swab: an Italian study

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    Background SARS-CoV-2 spreads primarily through respiratory droplets of symptomatic individuals. With respect to asymptomatic individuals, there are conflicting results in the literature and a lack of studies specifically examining transmission in healthcare settings. Methods The aim of this retrospective study, conducted in a northeastern Italian region, was to estimate the contagiousness of asymptomatic healthcare workers (HCWs) who tested positive for SARS-CoV-2. Asymptomatic HCWs who tested positive for SARS-CoV-2 by real-time reverse transcription polymerase chain reaction (rRT-PCR) at a regular screening nasopharyngeal or oropharyngeal swab between 1 February 2020 and 15 September 2020 were considered index cases. Contacts who were at high risk of infection and had follow-up swabs were included. Contacts were considered infected if they had a positive follow-up swab and/or symptoms associated with COVID-19 confirmed by a positive test within 14 days of exposure. Information was taken from records previously collected to identify contacts. Infectivity was estimated using the attack rate (AR) with a 95% confidence interval (95% CI). Results Thirty-eight asymptomatic HCWs who were positive at the screening swab and 778 contacts were identified. Contacts included 63.8% of colleagues, 25.6% of patients, 7.7% of family members and 3.0% of other contacts. Seven contacts tested positive for SARS-CoV-2 (AR: 0.91%, 95% CI: 0.89-0.93). Five of them were family members (AR: 8.3%), one was a colleague (0.2%) and one was a contact of other type (4.2%). Conclusions Viral spread by asymptomatic HCWs was less than in other settings. Identification of risk factors for transmission and reliable indicators of infectivity would be important to prioritize preventive measures

    A machine-learning based bio-psycho-social model for the prediction of non-obstructive and obstructive coronary artery disease

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    Background: Mechanisms of myocardial ischemia in obstructive and non-obstructive coronary artery disease (CAD), and the interplay between clinical, functional, biological and psycho-social features, are still far to be fully elucidated. Objectives: To develop a machine-learning (ML) model for the supervised prediction of obstructive versus non-obstructive CAD. Methods: From the EVA study, we analysed adults hospitalized for IHD undergoing conventional coronary angiography (CCA). Non-obstructive CAD was defined by a stenosis < 50% in one or more vessels. Baseline clinical and psycho-socio-cultural characteristics were used for computing a Rockwood and Mitnitski frailty index, and a gender score according to GENESIS-PRAXY methodology. Serum concentration of inflammatory cytokines was measured with a multiplex flow cytometry assay. Through an XGBoost classifier combined with an explainable artificial intelligence tool (SHAP), we identified the most influential features in discriminating obstructive versus non-obstructive CAD. Results: Among the overall EVA cohort (n = 509), 311 individuals (mean age 67 ± 11 years, 38% females; 67% obstructive CAD) with complete data were analysed. The ML-based model (83% accuracy and 87% precision) showed that while obstructive CAD was associated with higher frailty index, older age and a cytokine signature characterized by IL-1β, IL-12p70 and IL-33, non-obstructive CAD was associated with a higher gender score (i.e., social characteristics traditionally ascribed to women) and with a cytokine signature characterized by IL-18, IL-8, IL-23. Conclusions: Integrating clinical, biological, and psycho-social features, we have optimized a sex- and gender-unbiased model that discriminates obstructive and non-obstructive CAD. Further mechanistic studies will shed light on the biological plausibility of these associations. Clinical trial registration: NCT02737982

    Sustainable Development Goals and 2030 Agenda—Survey on Awareness, Knowledge and Attitudes of Italian Teachers of Public Mandatory Schools, 2021

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    Achieving the Sustainable Development Goals (SDGs) goes hand in hand with realising a more sustainable future, taking into account environmental, economic and social dimensions. Education can accelerate these goals, with teachers playing a central role. In 2021, a study was conducted among teachers in Italian mandatory schools to investigate knowledge, sources of information and attitudes towards the SDGs. An online survey was conducted, based on a Likert-scale with 62 items. The questionnaire was completed by 417 teachers. The overall knowledge score shows a median of 42.9%, an interquartile range of 25% and a range of 1.8–91.1%. A very good level of knowledge among teachers is limited to some topics, such as the Greenhouse effect (19.6%) and Resilience (13%), which may be better known due to wider media coverage. Sustainability issues are not yet considered as a shared responsibility, as teaching in designated hours was often suggested. The commitment of Italian teachers and schools to a stronger integration of sustainability issues into didactic programmes still needs to be improved. A change of perspective is urgently needed, whereby sustainability education should be seen as a collective responsibility

    Sustainable Development Goals and 2030 Agenda—Survey on Awareness, Knowledge and Attitudes of Italian Teachers of Public Mandatory Schools, 2021

    No full text
    Achieving the Sustainable Development Goals (SDGs) goes hand in hand with realising a more sustainable future, taking into account environmental, economic and social dimensions. Education can accelerate these goals, with teachers playing a central role. In 2021, a study was conducted among teachers in Italian mandatory schools to investigate knowledge, sources of information and attitudes towards the SDGs. An online survey was conducted, based on a Likert-scale with 62 items. The questionnaire was completed by 417 teachers. The overall knowledge score shows a median of 42.9%, an interquartile range of 25% and a range of 1.8–91.1%. A very good level of knowledge among teachers is limited to some topics, such as the Greenhouse effect (19.6%) and Resilience (13%), which may be better known due to wider media coverage. Sustainability issues are not yet considered as a shared responsibility, as teaching in designated hours was often suggested. The commitment of Italian teachers and schools to a stronger integration of sustainability issues into didactic programmes still needs to be improved. A change of perspective is urgently needed, whereby sustainability education should be seen as a collective responsibility

    Sustainable Development Goals and 2030 Agenda: Awareness, Knowledge and Attitudes in Nine Italian Universities, 2019

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    Sustainable Development Goals (SDGs) and 2030 Agenda represent global development programs. Education can widen the acknowledgement of their relevance and their applications. This survey aims to assess awareness, knowledge and attitudes towards SDGs and sustainability among first-year students in nine Italian Universities. A Likert scale-based online questionnaire of 70 items was compiled by students from March to July 2019. It examined knowledge and expectations referred to sustainable development concepts, indicators and documents/models accounting for sociodemographic variables. Statistical analyses performed were Chi-square test, Fisher's Exact test, Kendall's W correlation coefficient, univariate and multivariate analysis. The questionnaire was completed by 1676 students. A low percentage referred a good knowledge of SDGs and 2030 Agenda, most of them had never attended related educational activities previously. Better knowledge of SDGs and 2030 Agenda was observed in case of previous specific educational activities (p < 0.001). The expectation towards university guaranteeing an education on SDGs was high, both for personal wisdom and for usefulness in future professional context. A significant difference (p < 0.001) in such expectations was found, as healthcare students were less interested than colleagues of other areas. The results showed low knowledge but interest towards sustainable development. A scheduled implementation of academic initiatives should be considered
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