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1.
Ann Ig ; 36(2): 144-152, 2024.
Article in English | MEDLINE | ID: mdl-38303640

ABSTRACT

Background: The "Leo&Giulia standing for public health" project is an innovative digital health education model targeting primary school children. The project, developed during the COVID-19 pandemic, aims to educate primary school-aged children about public health issues through an animated cartoon series. It highlights the importance of early-life health promotion and the potential role of educational settings in shaping health behaviours. Study design: A 2-year school-based cluster-randomized controlled community trial will be conducted among 8-10-year-old pupils in the province of Pavia, Northern Italy. Methods: The intervention group will receive an educational programme via a new episode of "Leo&Giulia" animated series, focusing on smoking prevention. The study will assess changes in knowledge, attitudes towards smoking, and communication about smoking risks among peers and parents. The trial involves baseline and follow-up assessments through questionnaires targeting both children and parents. Results (expected): We assume that children in the intervention group will demonstrate increased knowledge and awareness of smoking-related health risks and develop negative attitudes towards tobacco use compared to the control group. Enhanced communication about tobacco harms among peers and between children and parents, as well as increased parental involvement in anti-smoking socialization practices, are expected secondary outcomes. Discussion and Conclusions: "Leo&Giulia" integrates health education into the school curriculum, leveraging the appeal of animated content to engage children in public health topics. The project is expected to contribute to the field of health education by demonstrating the effectiveness of digital health interventions in childhood, foreseeing potential long-term impacts on health behaviors and in shaping future public health strategies.


Subject(s)
Health Education , Pandemics , Public Health , Child , Humans , Health Behavior , Health Education/methods , Health Promotion/methods , Pandemics/prevention & control , Randomized Controlled Trials as Topic
2.
Ann Ig ; 36(2): 256-260, 2024.
Article in English | MEDLINE | ID: mdl-38240183

ABSTRACT

Background: Healthcare-Associated-Infections are a critical concern in healthcare settings, posing serious threats to patient safety and causing significant morbidity, mortality, and financial strain. This study aims to calculate healthcare-associated-infections trends in the hospital setting through an automatic reporting system. Study design: The study is a descriptive analysis of automatically generated trends of an innovative digital tool based on existing hospital information flows. Methods: An algorithm was developed within a Clinical Information System to create a suite of quality indicators for monitoring healthcare-associated-infections trends. The algorithm used criteria related to admission, laboratory tests and antimicrobial administrations. A descriptive analysis was conducted for patients aged 18 or older, admitted to a neurological or to a neuro-rehabilitation department of a neurologic hospital from 2019 to 2022. Results: The results showed fluctuations in healthcare-associated-infections prevalence from 2.9% to 5.6% and hospital infec-tions prevalence from 4.5% to 10.9%, with notable increases in 2020 and 2021. The majority (70.3%) of healthcare associated infections identified by the tool were confirmed to be potentially hospital-acquired, according to the European Centre of Disease Prevention and Control's definition. Discussion and Conclusions: The study posits the algorithm as a vital tool for automatically monitoring hospital infections, providing valuable preliminary results for improving care quality and guiding the infections' prevention and control strategies, with plans to benchmark the algorithm against a gold standard in the future.


Subject(s)
Cross Infection , Hospitals , Humans , Cross Infection/epidemiology , Cross Infection/prevention & control , Delivery of Health Care , Hospitalization , Italy/epidemiology
3.
Article in English | MEDLINE | ID: mdl-35805853

ABSTRACT

During the two years of the COVID-19 pandemic, more than 400 million cases all over the world have been identified. Health care workers were among the first to deal with this virus and consequently a high incidence of infection was reported in this population. The aim of the survey was to investigate health care workers' (HCWs) clinical characteristics and potential risk factors associated with the SARS-CoV-2 infection in a referral hospital in Northern Italy after the first and second waves of the pandemic. We administered a questionnaire during the flu vaccination campaign that took place at the end of 2020; among 1386 vaccinated HCWs, data was collected and analyzed for 1065 subjects. 182 HCWs (17%) declared that they had tested positive on at least a molecular or a serological test since the beginning of the pandemic. Comparing the infected vs. not infected HCWs, median age, BMI, smoking habit, presence of hypertension or other comorbidities were not significantly different, while having worked in a COVID ward was associated with the infection (ORadj = 1.54, 95% CI: 1.07-2.20). Respondents declared that more than 70% of contacts occurred in the hospital with patients or colleagues, while about 15% in domestic environments. Among the infected, the most reported symptoms were fever (62.1%), asthenia (60.3%), anosmia/ageusia (53.5%), arthralgia/myalgia (48.3%), headache or other neurological symptoms (46.6%), cough (43.1%) and flu-like syndrome (41.4%). The percentage of subjects who have been infected with SARS-CoV-2 seems to be higher in HCWs than in the general population; hence, in hospitals, protective measures and preventive strategies to avoid the spreading of the contagion remain crucial.


Subject(s)
COVID-19 , COVID-19/epidemiology , Health Personnel , Humans , Italy/epidemiology , Pandemics/prevention & control , Risk Factors , SARS-CoV-2 , Surveys and Questionnaires
4.
Nat Commun ; 12(1): 6032, 2021 10 15.
Article in English | MEDLINE | ID: mdl-34654808

ABSTRACT

Vaccine breakthrough SARS-CoV-2 infection has been monitored in 3720 healthcare workers receiving 2 doses of BNT162b2. SARS-CoV-2 infection is detected in 33 subjects, with a 100-day cumulative incidence of 0.93%. Vaccine protection against acquisition of SARS-CoV-2 infection is 83% (95%CI: 58-93%) in the overall population and 93% (95%CI: 69-99%) in SARS-CoV-2-experienced subjects, when compared with a non-vaccinated control group from the same Institution, in which SARS-CoV-2 infection occurs in 20/346 subjects (100-day cumulative incidence: 5.78%). The infection is symptomatic in 16 (48%) vaccinated subjects vs 17 (85%) controls (p = 0.01). All analyzed patients, in whom the amount of viral RNA was sufficient for genome sequencing, results infected by the alpha variant. Antibody and T-cell responses are not reduced in subjects with breakthrough infection. Evidence of virus transmission, determined by contact tracing, is observed in two (6.1%) cases. This real-world data support the protective effect of BNT162b2 vaccine. A triple antigenic exposure, such as two-dose vaccine schedule in experienced subjects, may confer a higher protection.


Subject(s)
Asymptomatic Infections/epidemiology , COVID-19 Vaccines/administration & dosage , COVID-19/diagnosis , Health Personnel/statistics & numerical data , SARS-CoV-2/pathogenicity , Antibodies, Viral/blood , BNT162 Vaccine , COVID-19/epidemiology , COVID-19/prevention & control , COVID-19/virology , COVID-19 Nucleic Acid Testing/statistics & numerical data , Case-Control Studies , Female , Humans , Immunization Schedule , Incidence , Male , Prospective Studies , RNA, Viral/genetics , RNA, Viral/isolation & purification , SARS-CoV-2/genetics , SARS-CoV-2/immunology , SARS-CoV-2/isolation & purification , Severity of Illness Index
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