A5089739736- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- COVID-19 epidemiological studies
- COVID-19 and Mental Health
- Neural Networks and Applications
- Generative Adversarial Networks and Image Synthesis
- Vaccine Coverage and Hesitancy
- Semantic Web and Ontologies
- Occupational exposure and asthma
- Healthcare professionals’ stress and burnout
- Bayesian Modeling and Causal Inference
- SARS-CoV-2 detection and testing
- Long-Term Effects of COVID-19
- Infection Control and Ventilation
- Speech Recognition and Synthesis
- vaccines and immunoinformatics approaches
- Air Quality and Health Impacts
- COVID-19 Pandemic Impacts
- Occupational and environmental lung diseases
- Gaussian Processes and Bayesian Inference
- Nuclear Receptors and Signaling
- Domain Adaptation and Few-Shot Learning
- AI-based Problem Solving and Planning
- Natural Language Processing Techniques
- Handwritten Text Recognition Techniques
University of Brescia
2021-2024
KU Leuven
2024
Brescia University
2022-2023
University of Perugia
2012
Anti SARS-CoV-2 vaccination initially showed high effectiveness in preventing COVID-19. However, after the surge of variants concern, dropped. Several studies investigated if this was related to decrease humoral response over time; however, issue is still unclear. The aim study understand whether anti-S IgG levels can be used predict breakthrough infection risk and define timing for further booster doses administration.
Abstract Healthcare workers (HCWs) are at increased risk of being infected with SARS-CoV-2, yet limited information is available on factors infection. We pooled data occupational surveillance 10,654 HCW who were tested for SARS-CoV-2 infection in six Italian centers. Information was demographics, job title, department employment, source exposure, use personal protective equipment (PPEs), and COVID-19-related symptoms. fitted multivariable logistic regression models to calculate odds ratios...
The research aimed to investigate the incidence of SARS-CoV-2 breakthrough infections and their determinants in a large European cohort more than 60,000 health workers.A multicentric retrospective study, involving 12 centers, was carried out within ORCHESTRA project, collecting data up 18 November 2021 on fully vaccinated workers. cumulative investigated with its association occupational social-demographic characteristics (age, sex, job title, previous infection, antibody titer levels, time...
Background The duration of immune response to COVID-19 vaccination is major interest. Our aim was analyze the determinants anti-SARS-CoV-2 IgG titer at 6 months after 2-dose in an international cohort vaccinated healthcare workers (HCWs). Methods We analyzed data on levels Spike antibodies and sociodemographic clinical characteristics 6,327 HCWs from 8 centers Germany, Italy, Romania Slovakia. Time between 1 st dose serology ranged 150-210 days. Serological were log-transformed account for...
SARS-CoV-2 breakthrough infections (BI) after vaccine booster dose are a relevant public health issue.Multicentric longitudinal cohort study within the ORCHESTRA project, involving 63,516 workers (HW) from 14 European settings. The investigated cumulative incidence of BI and its correlation with age, sex, job title, previous infection, time since third dose.13,093 (20.6%) were observed. was higher in women HW aged < 50 years, but nearly halved 60 years. Nurses experienced highest incidence,...
The remarkable variability of response to vaccines against SARS-CoV-2 is apparent. present study aims estimate the extent which host genetic background contributes this in terms immune and side effects following administration BNT162b2 vaccine. We carried out a genome wide association (GWAS) by genotyping 873 Italian healthcare workers who underwent anti-SARS-CoV-2 vaccination with vaccine for whom information about spike antibodies titers were available. GWAS revealed significant between...
Introduction: Characterizing immunological response following COVID-19 vaccination is an important public health issue. The objectives of the present analysis were to investigate proportion, level and determinants humoral from 21 days three months after first dose in vaccinated healthcare workers (HCWs). Methods: We abstracted data on anti-SARS-CoV-2 Spike antibodies (IgG) sociodemographic characteristics 17,257 HCWs hospitals authorities centers Northern Italy who underwent (average 70.6...
Background: The effectiveness of the immunity provided by SARS-CoV-2 vaccines is an important public health issue. We analyzed determinants 12-month serology in a multicenter European cohort vaccinated healthcare workers (HCW). Methods: sociodemographic characteristics and levels anti-SARS-CoV-2 spike antibodies (IgG) 16,101 HCW from eleven centers Germany, Italy, Romania, Slovakia Spain. Considering skewness distribution, serological were transformed using log or cubic standardization...
Background: COVID-19 pandemic is requesting unprecedented efforts by health-care workers (HCWs) in all countries, and especially Italy during the first semester of 2020. Methods: This a retrospective, observational study conducted at Spedali Civili General Hospital, Brescia, Northern SARS CoV-2 Serum samples from HCWs were tested for SARS-CoV-2 spike protein-specific antibodies. An online survey was used to collect demographic, clinical, epidemiological data. Results: Of 1893 included, 433...
Given their occupational risk profile, HCWs were the first to receive anti-SARS-CoV-2 vaccination. However, breakthrough infections remained common, mainly sustained by new SARS-CoV-2 variants of concern (VOCs) that rapidly spread one after another in Italy. Evidence suggests measured level antibodies does not clearly predict protection conferred either natural infection or vaccine-induced immunization, highlighting need for further study on diversity susceptibility infection. The present...
Background: The present study was aimed at evaluating the effectiveness of BNT162b2 among HCWs a university hospital while recrudescence pandemics hitting province, with high rate B.1.1.7 variant. Methods: performed in context health surveillance workplaces. We monitored SARS-CoV-2 infection and COVID-19 symptoms classified by having received entire vaccine schedule or not; latter further not vaccinated workers who had first shot more than 14 days earlier. diagnosed conventional RT-PCR on...
Background: The persistence of antibody levels after COVID-19 vaccination has public health relevance. We analyzed the determinants quantitative serology at 9 months in a multicenter cohort. Methods: data on anti-SARS-CoV-2 spike from first dose vaccinated HCW eight centers Italy, Germany, Spain, Romania and Slovakia. Serological were log-transformed to account for skewness distribution normalized by dividing them center-specific standard errors. fitted multivariate regression models...
COVID-19 vaccines elicit a strong anti-S antibodies response. We aim to describe antibody titers in peri-vaccination SARS-CoV-2 infections. This is retrospective longitudinal single-cohort study. Serological tests were performed at the time of first vaccine dose (T0) and 60 (T1), 120 (T2), 240 (T3) days after. The study included 4,682 subjects. Group A had infection without an Ig B C seroconverted for anti-N between T0 T1 T2, respectively. D was persistently negative. showed initial...
Background: Health care workers (HCWs) were on the frontline of current pandemic. We aimed at identifying determinants SARS-CoV-2 infection and effectiveness personal protection equipment (PPE) worn by HCWs before vaccination. Methods: abstracted data based positive PCR results sociodemographic characteristics 38,793 from public hospitals health authorities 10 European centers. fitted cohort-specific multivariate logistic regression models to identify combined using random-effects...
We investigated changes in serologic measurements after COVID-19 vaccination 19,422 subjects. An individual-level analysis was performed on standardized measurements. Age, infection, vaccine doses, time between doses and serologies, type were associated with levels within 13 months. Persistence of immunization is key for prevention. the difference two anti-COVID-19 S1 antibodies an vaccinated healthcare workers (HCW) from Italy, Spain, Romania, Slovakia, tested months first dose. Differences...
To evaluate the information collected from workers infected with severe acute respiratory coronavirus virus 2 (SARS-CoV-2) or close contacts using a digital data gathering system (DDGS) developed at onset of disease 2019 (COVID-19) pandemic to better manage spread infection our hospital.Observational retrospective study.Tertiary University Hospital "Spedali Civili" Hospital, Brescia, Italy.Workers (most whom are healthcare workers) employed hospital.The by DDGS was transferred IBM SPSS...
Objectives: This is a longitudinal prospective study which was designed to assess the trend of anti-SARS-CoV-2 antibodies targeting Spike (anti-S) and Nucleocapside protein (anti-N) viral antigens over 9-month period after administration an vaccine in big COVID-19 hospital located Northern Italy. Participants: 7411 vaccinated workers were included linear mixed-effect model analysis performed anti-S decay 9 months following vaccination, during serological screening approximately 2, 4, first...
Abstract Background Dental technicians are at high risk of pneumoconiosis, usually driven by inhalation mixed dusts, including metals. An etiological diagnosis is not easy to be performed, particularly in advanced stages. Case presentation We describe the case an early pneumoconiosis occurring a 47-year-old dental technician who developed respiratory symptoms shortly after beginning work. She described work environment as dusty and lacking relevant primary prevention tools. A chest CT showed...
Self-supervised learning is a popular and powerful method for utilizing large amounts of unlabeled data, which wide variety training objectives have been proposed in the literature. In this study, we perform Bayesian analysis state-of-the-art self-supervised objectives, elucidating underlying probabilistic graphical models each class presenting standardized methodology their derivation from first principles. The also indicates natural means integrating with likelihood-based generative...
We identify sufficient conditions to avoid known failure modes, including representation, dimensional, cluster and intracluster collapses, occurring in non-contrastive self-supervised learning. Based on these findings, we propose a principled design for the projector loss function. theoretically demonstrate that this introduces an inductive bias promotes learning representations are both decorrelated clustered without explicit enforcing properties leading improved generalization. To best of...
Neural probabilistic logic systems follow the neuro-symbolic (NeSy) paradigm by combining perceptive and learning capabilities of neural networks with robustness logic. Learning corresponds to likelihood optimization networks. However, obtain exactly, expensive inference is required. To scale more complex systems, we therefore propose instead optimize a sampling based objective. We prove that objective has bounded error respect likelihood, which vanishes when increasing sample count....