Assessment of Italian Population Awareness on One-Health, Zoonoses and the Mpox Vaccine: A Nationwide Cross-Sectional Study.

In recent decades, the rise of zoonotic diseases has emerged as a significant human health concern, highlighting the interconnectedness of human and animal health within the framework of the "One Health" (OH) concept. This study, conducted in Italy in 2023, sought to gauge the general population's awareness of OH and zoonotic diseases while identifying influencing factors. Additionally, it aimed to assess awareness of an Mpox virus vaccine, particularly pertinent due to the 2022 outbreak across Europe. The online cross-sectional study encompassed 1058 participants, revealing that 54.26% were unfamiliar with OH and zoonoses. Median knowledge scores were 12 points (IQR = 9-15) for zoonoses and 8 points (IQR = 6-11) for OH. Notably, factors such as age, economic situation, healthcare employment, educational level, and health literacy significantly influenced knowledge scores. Merely 26.8% of participants were aware of the existence of an Mpox vaccine, with healthcare workers, individuals engaged in animal-related work, and non-heterosexual men demonstrating higher awareness. The findings underscored a limited public understanding of zoonotic diseases and One Health, with variations observed across specific demographic groups. Given the potential impact on public health, urgent educational initiatives are warranted. Moreover, the study highlighted a low awareness of the Mpox vaccine, emphasizing the necessity for targeted awareness campaigns directed at both professionals and the general public.

Determinants of COVID-19 vaccination worldwide: WORLDCOV, a retrospective observational study.

Introduction: The COVID-19 pandemic has resulted in numerous deaths, great suffering, and significant changes in people's lives worldwide. The introduction of the vaccines was a light in the darkness, but after 18 months, a great disparity in vaccination coverage between countries has been observed. As disparities in vaccination coverage have become a global public health issue, this study aimed to analyze several variables to identify possible determinants of COVID-19 vaccination. Methods: An ecological study was conducted using pooled secondary data sourced from institutional sites. A total of 205 countries and territories worldwide were included. A total of 16 variables from different fields were considered to establish possible determinants of COVID-19 vaccination: sociodemographic, cultural, infrastructural, economic and political variables, and health system performance indicators. The percentage of the population vaccinated with at least one dose and the total doses administered per 100 residents on 15 June 2022 were identified as indicators of vaccine coverage and outcomes. Raw and adjusted values for delivered vaccine doses in the multivariate GLM were determined using R. The tested hypothesis (i.e., variables as determinants of COVID-19 vaccination) was formulated before data collection. The study protocol was registered with the grant number NCT05471635. Results: GDP per capita [odds = 1.401 (1.299-1.511) CI 95%], access to electricity [odds = 1.625 (1.559-1.694) CI 95%], political stability, absence of violence/terrorism [odds = 1.334 (1.284-1.387) CI 95%], and civil liberties [odds = 0.888 (0.863-0.914) CI 95%] were strong determinants of COVID-19 vaccination. Several other variables displayed a statistically significant association with outcomes, although the associations were stronger for total doses administered per 100 residents. There was a substantial overlap between raw outcomes and their adjusted counterparts. Discussion: This pioneering study is the first to analyze the association between several different categories of indicators and COVID-19 vaccination coverage in a wide complex setting, identifying strong determinants of vaccination coverage. Political decision-makers should consider these findings when organizing mass vaccination campaigns in a pandemic context to reduce inequalities between nations and to achieve a common good from a public health perspective.

Paediatric hospitalizations over three waves of COVID-19 (February 2020 to May 2021) in Italy: determinants and rates.

Background: After a pneumonia outbreak in late 2019 in China, a new virus related to the Coronaviridae strain, called Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-CoV-2), was identified as the pathogen of an emerging disease known as COronaVIrus Disease 19 (COVID-19). Preliminary evidence outlines a higher prevalence in adults and lower susceptibility in children. However, recent epidemiologic research highlighted that transmissibility and susceptibility among children and adolescents become higher due to new virus variants. Infections among youth arises with mainly respiratory and gastrointestinal symptoms and malaise. Nevertheless, critical illness affects new-borns and fragile children, requiring hospitalization and possibly intensive care support. Aim of this study was to examine the impact of COVID-19 pandemic on hospital admissions among children and adolescents aged 0 to 17 years over three waves of COVID-19 (from February 2020 to May 2021) in Piedmont, a large Italian region, and to investigate the possible determinants of hospitalizations. Methods: A meta-analysis for risk assessment was performed over three waves of COVID-19 (from February 2020 to May 2021). Data were extracted from the official Italian National Information System and ISTAT. Results: Overall, 442 paediatric patients were enrolled and admissions concerned mostly the age group 0-4 years (60.2%). Trends of hospitalization showed a slight increase of paediatric admissions already in March 2020 and a rise during second and third waves (November 2020, March 2021). Paediatric age-grouped hospitalizations (0-4; 12-17; 5-11) reproduced an analogous trend. The children and adolescent hospitalization rate appeared lower than overall population with a moderate slope of increase in comparison with population slope. Monthly hospitalization rate (per 100,000) of children and adolescents aged 0-17 years reproduced the increasing trend of hospitalization numbers. This trend was influenced, in particular, by the trend of hospitalization rates for children aged 0-4 years. The meta-analysis for risk assessment showed a decreased likelihood of rescue of hospitalizations in female, 5-11 and 12-17 age groups. Conversely, the meta-analysis showed a positive association between foreign nationality and hospitalizations. Conclusions: Our results show a comparable trend of paediatric hospital admissions for COVID-19 and of the entire population hospitalizations over three waves. COVID-19 hospital admissions increase with a bimodal age distribution and the most admissions are among patients aged ≤4 or 5-11 years. Significant predictive factors of hospitalization are identified.