scholarly journals Relationship between Citizens’ Health Engagement and Intention to Take the COVID-19 Vaccine in Italy: A Mediation Analysis

Vaccines ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 576 ◽  
Author(s):  
Guendalina Graffigna ◽  
Lorenzo Palamenghi ◽  
Stefania Boccia ◽  
Serena Barello
Keyword(s):  
Age Groups ◽  
Path Model ◽  
Vaccine Hesitancy ◽  
Vaccination Programs ◽  
General Attitude ◽  
Actual Effectiveness ◽  
To Come ◽  
Educational Campaigns ◽  
The Impact

The actual effectiveness of the still-to-come vaccination against the coronavirus SARS-CoV-2 might be challenged by vaccine hesitancy, a rather common and known phenomenon whose psychological predictors are, nevertheless, still largely debated. Our study aims at understanding how adult citizens’ health engagement, perceived COVID-19 susceptibility and severity, and general vaccine-related attitudes affect the willingness to vaccinate against COVID-19. To that end, on a sample of Italian citizens, we implemented a path model to test the impact of health engagement on the willingness to vaccinate against SARS-CoV-2, and whether this relationship is direct or mediated by the general attitude towards vaccines and the risk perception. Moreover, we tested the configural and weak invariance of the model across gender and three age groups. Results show that health engagement is positively related to the intention to vaccinate and that this relationship is partially mediated by the general attitude towards vaccines. The model appears invariant across genders and partially invariant across age groups, showing some differences in the role of perceived susceptibility. These findings vouch for the implementation of educational campaigns aimed at sustaining future vaccination programs that also include health engagement promotion.

The Health of Refugees

2019 ◽  
Keyword(s):  
Age Groups ◽  
Refugee Health ◽  
Mass Movements ◽  
Ethical Challenges ◽  
Displaced Populations ◽  
Political Landscape ◽  
The Media ◽  
Multidisciplinary Perspective ◽  
The Impact

There have been significant changes in the numbers, patterns, and circumstances of refugees and in the political landscape to support humanitarianism since the publication of the first edition of this collection. Like the first edition, this volume provides a multidisciplinary perspective on refugee health, tracing the health repercussions on individuals and populations from the drivers of forced mass movements of populations from situations of conflict and other disasters through to the process of resettlement in countries other than their countries of origin. Drawing on the expertise of academics, practitioners, and UN frontline experts, the collection covers three main aspects of refugee health: the concepts, definitions, and context from a human rights, humanitarianism, and social determinants of health perspective; the intersection of vulnerabilities across age groups and settings; and the ethical challenges for practitioners and researchers working with forcibly displaced populations seeking to resettle. The collection concludes with an analysis of the role of the media in shaping our perceptions of refugees and the impact on policy and access to care.

scholarly journals The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic

2021 ◽  
Author(s):  
Francesco Piccialli ◽  
Vincenzo Schiano di Cola ◽  
Fabio Giampaolo ◽  
Salvatore Cuomo
Keyword(s):  
Artificial Intelligence ◽  
Clinical Trials ◽  
Digital Transformation ◽  
Daily Activities ◽  
Commercial Vehicles ◽  
Human Skills ◽  
To Come ◽  
Complex Scenario ◽  
The Impact

AbstractThe first few months of 2020 have profoundly changed the way we live our lives and carry out our daily activities. Although the widespread use of futuristic robotaxis and self-driving commercial vehicles has not yet become a reality, the COVID-19 pandemic has dramatically accelerated the adoption of Artificial Intelligence (AI) in different fields. We have witnessed the equivalent of two years of digital transformation compressed into just a few months. Whether it is in tracing epidemiological peaks or in transacting contactless payments, the impact of these developments has been almost immediate, and a window has opened up on what is to come. Here we analyze and discuss how AI can support us in facing the ongoing pandemic. Despite the numerous and undeniable contributions of AI, clinical trials and human skills are still required. Even if different strategies have been developed in different states worldwide, the fight against the pandemic seems to have found everywhere a valuable ally in AI, a global and open-source tool capable of providing assistance in this health emergency. A careful AI application would enable us to operate within this complex scenario involving healthcare, society and research.

scholarly journals Impact of non-menthol flavours in e-cigarettes on perceptions and use: an updated systematic review

BMJ Open ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. e031598 ◽  
Author(s):  
Clare Meernik ◽  
Hannah M Baker ◽  
Sarah D Kowitt ◽  
Leah M Ranney ◽  
Adam O Goldstein
Keyword(s):  
Systematic Review ◽  
Risk Perceptions ◽  
Longitudinal Research ◽  
Age Groups ◽  
Experimental Studies ◽  
Final Analysis ◽  
Eligibility Criteria ◽  
Product Appeal ◽  
The Impact

ObjectivesGiven the exponential increase in the use of e-cigarettes among younger age groups and in the growth in research on e-cigarette flavours, we conducted a systematic review examining the impact of non-menthol flavoured e-cigarettes on e-cigarette perceptions and use among youth and adults.DesignPubMed, Embase, PyscINFO and CINAHL were systematically searched for studies published and indexed through March 2018.Eligibility criteriaQuantitative observational and experimental studies that assessed the effect of non-menthol flavours in e-cigarettes on perceptions and use behaviours were included. Specific outcome measures assessed are appeal, reasons for use, risk perceptions, susceptibility, intention to try, initiation, preference, current use, quit intentions and cessation.Data extraction and synthesisThree authors independently extracted data related to the impact of flavours in tobacco products. Data from a previous review were then combined with those from the updated review for final analysis. Results were then grouped and analysed by outcome measure.ResultsThe review included 51 articles for synthesis, including 17 published up to 2016 and an additional 34 published between 2016 and 2018. Results indicate that non-menthol flavours in e-cigarettes decrease harm perceptions (five studies) and increase willingness to try and initiation of e-cigarettes (six studies). Among adults, e-cigarette flavours increase product appeal (seven studies) and are a primary reason many adults use the product (five studies). The role of flavoured e-cigarettes on smoking cessation remains unclear (six studies).ConclusionThis review provides summary data on the role of non-menthol flavours in e-cigarette perceptions and use. Consistent evidence shows that flavours attract both youth and adults to use e-cigarettes. Given the clear findings that such flavours increase product appeal, willingness to try and initiation among youth, banning non-menthol flavours in e-cigarettes may reduce youth e-cigarette use. Longitudinal research is needed to examine any role flavours may play in quit behaviours among adults.

scholarly journals TET2 mutations as a part of DNA dioxygenase deficiency in myelodysplastic syndromes

2021 ◽  
Author(s):  
Carmelo Gurnari ◽  
Simona Pagliuca ◽  
Yihong Guan ◽  
Vera Adema ◽  
Courtney E Hershberger ◽  
...  
Keyword(s):  
Myelodysplastic Syndromes ◽  
Prognostic Significance ◽  
Age Groups ◽  
Feedback Mechanism ◽  
Dna Demethylation ◽  
Compensatory Mechanisms ◽  
Poor Outcomes ◽  
Relationship Of ◽  
The Impact

Decrease in DNA dioxygease activity generated by TET2 gene family is crucial in myelodysplastic syndromes (MDS). The general down-regulation of 5-hydroxymethylcytosine (5-hmC) argues for a role of DNA demethylation in MDS beyond TET2 mutations, which albeit frequent, do not convey any prognostic significance. We investigated TETs expression to identify factors which can modulate the impact of mutations and thus 5-hmC levels on clinical phenotypes and prognosis of MDS patients. DNA/RNA-sequencing and 5-hmC data were collected from 1,665 patients with MDS and 91 controls. Irrespective of mutations, a significant fraction of MDS patients exhibited lower TET2 expression, while 5-hmC levels were not uniformly decreased. In searching for factors explaining compensatory mechanisms, we discovered that TET3 was up-regulated in MDS and inversely correlated with TET2 expression in wild-type cases. While TET2 was reduced across all age-groups, TET3 levels were increased in a likely feedback mechanism induced by TET2 dysfunction. This inverse relationship of TET2 and TET3 expression also corresponded to the expression of L-2-hydroxyglutarate dehydrogenase, involved in agonist/antagonist substrate metabolism. Importantly, elevated TET3 levels influenced the clinical phenotype of TET2-deficiency whereby the lack of compensation by TET3 (low TET3 expression) was associated with poor outcomes of TET2 mutant carriers.

The Emerging Corporate University System

2014 ◽  
pp. 92-113
Author(s):  
Mohammad Ayub Khan
Keyword(s):  
Strategic Alliances ◽  
Corporate University ◽  
Corporate Universities ◽  
Strategic Actions ◽  
High Quality Education ◽  
To Come ◽  
The Impact ◽  
Benefits And Costs

This chapter discusses the role of corporate universities in the field of higher education and the impact of the same on conventional or traditional universities and their corresponding business schools. This chapter also proposes some strategic actions for the traditional universities to pursue in order to maintain competitive advantage over the emerging corporate universities. Some of these strategic actions include promoting and developing strong long-term and multipurpose strategic alliances with the industry, government institutions, and community development groups. Collaborative strategies are better than competitive behavior in terms of long-term benefits and costs associated with each of these strategies. Moreover, being in the forefront of learning innovation and knowledge management combined with the provision of high quality education and trainings through innovative, diverse, and flexible academic and training programs will help the traditional universities to remain the main supplier of knowledge in times to come.

scholarly journals Risk factors for respiratory Aspergillus fumigatus in German Cystic Fibrosis patients and impact on lung function

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Uta Düesberg ◽  
Julia Wosniok ◽  
Lutz Naehrlich ◽  
Patience Eschenhagen ◽  
Carsten Schwarz
Keyword(s):  
Risk Factors ◽  
Cystic Fibrosis ◽  
Lung Function ◽  
Aspergillus Fumigatus ◽  
Age Groups ◽  
Antibiotic Use ◽  
Lower Lung ◽  
Lung Infections ◽  
The Impact

Abstract Airway inflammation and chronic lung infections in cystic fibrosis (CF) patients are mostly caused by bacteria, e.g. Pseudomonas aeruginosa (PA). The role of fungi in the CF lung is still not well elucidated, but evidence for a harmful and complex role is getting stronger. The most common filamentous fungus in CF is Aspergillus fumigatus (AF). Age and continuous antibiotic treatment have been discussed as risk factors for AF colonisation but did not differentiate between transient and persistent AF colonisation. Also, the impact of co-colonisation of PA and AF on lung function is still under investigation. Data from patients with CF registered in the German Cystic Fibrosis Registry database in 2016 and 2017 were retrospectively analysed, involving descriptive and multivariate analysis to assess risk factors for transient or persistent AF colonisation. Age represented an independent risk factor for persistent AF colonisation. Prevalence was low in children less than ten years, highest in the middle age and getting lower in higher age (≥ 50 years). Continuous antibiotic lung treatment was significantly associated with AF prevalence in all age groups. CF patients with chronic PA infection had a lower lung function (FEV1%predicted), which was not influenced by an additional AF colonisation. AF colonisation without chronic PA infection, however, was significantly associated with a lower function, too. Older age up to 49 years and continuous antibiotic use were found to be the main risk factors for AF permanent colonisation. AF might be associated with decrease of lung function if not disguised by chronic PA infection.

The Role of the “Outsider” in Quasi-Legislative Systems: The Potential Utility of a Legislative Model

1973 ◽  
Vol 27 (1) ◽  
pp. 85-98 ◽  
Author(s):  
Thomas J. Volgy
Keyword(s):  
International Organizations ◽  
Voting Behavior ◽  
General Assembly ◽  
The Political ◽  
Potential Utility ◽  
Political Processes ◽  
To Come ◽  
Legislative Model ◽  
The Impact

As periodic stock–taking efforts would indicate,1students of international organizations have become increasingly sophisticated in the methods and techniques used for assessing the dynamics of international efforts at cooperation, and the impact of these efforts on the general stream of international politics. Nowhere has this been more true than in attempts by scholars to come to grips with the political processes acted out in the General Assembly of the United Nations. To para–phrase Keohane,2we have come to witness a change of focus from a somewhat static description of structures, rules and regulations, to analyses of patterns of voting behavior (and correlates thereof) to, finally, systematic analyses of patterns of interactions leading to votes and resolutions.

scholarly journals Spatial Modeling of COVID-19 Vaccine Hesitancy in the United States

2021 ◽  
Vol 18 (18) ◽  
pp. 9488
Author(s):  
Abolfazl Mollalo ◽  
Moosa Tatar
Keyword(s):  
United States ◽  
Healthcare Providers ◽  
Vulnerability Index ◽  
The United States ◽  
Vaccine Hesitancy ◽  
Social Vulnerability Index ◽  
Vaccination Programs ◽  
Public Health Decision ◽  
Vaccination Rates ◽  
The Impact

Vaccine hesitancy refers to delay in acceptance or refusal of vaccines despite the availability of vaccine services. Despite the efforts of United States healthcare providers to vaccinate the bulk of its population, vaccine hesitancy is still a severe challenge that has led to the resurgence of COVID-19 cases to over 100,000 people during early August 2021. To our knowledge, there are limited nationwide studies that examined the spatial distribution of vaccination rates, mainly based on the social vulnerability index (SVI). In this study, we compiled a database of the percentage of fully vaccinated people at the county scale across the continental United States as of 29 July 2021, along with SVI data as potential significant covariates. We further employed multiscale geographically weighted regression to model spatial nonstationarity of vaccination rates. Our findings indicated that the model could explain over 79% of the variance of vaccination rate based on Per capita income and Minority (%) (with positive impacts), and Age 17 and younger (%), Mobile homes (%), and Uninsured people (%) (with negative effects). However, the impact of each covariate varied for different counties due to using separate optimal bandwidths. This timely study can serve as a geospatial reference to support public health decision-makers in forming region-specific policies in monitoring vaccination programs from a geographic perspective.

scholarly journals Anatomy of digital contact tracing: role of age, transmission setting, adoption and case detection

2020 ◽  
Author(s):  
Jesús A. Moreno López ◽  
Beatriz Arregui-Garcĺa ◽  
Piotr Bentkowski ◽  
Livio Bioglio ◽  
Francesco Pinotti ◽  
...  
Keyword(s):  
Age Groups ◽  
Contact Tracing ◽  
Case Detection ◽  
Agent Based ◽  
Population Immunity ◽  
Contact Survey ◽  
Low Coverage ◽  
The Impact ◽  
Epidemiological Information

The efficacy of digital contact tracing against COVID-19 epidemic is debated: smartphone penetration is limited in many countries, non-uniform across age groups, with low coverage among elderly, the most vulnerable to SARS-CoV-2. We developed an agent-based model to precise the impact of digital contact tracing and household isolation on COVID-19 transmission. The model, calibrated on French population, integrates demographic, contact-survey and epidemiological information to describe the risk factors for exposure and transmission of COVID-19. We explored realistic levels of case detection, app adoption, population immunity and transmissibility. Assuming a reproductive ratio R=2.6 and 50% detection of clinical cases, a ~20% app adoption reduces peak incidence of ~36%. With R=1.7, >30% app adoption lowers the epidemic to manageable levels. Higher coverage among adults, playing a central role in COVID-19 transmission, yields an indirect benefit for elderly. These results may inform the inclusion of digital contact tracing within a COVID-19 response plan.

scholarly journals Modelling COVID-19 contagion: Risk assessment and targeted mitigation policies

2020 ◽  
Author(s):  
Rama Cont ◽  
RenYuan Xu ◽  
Artur Kotlicki
Keyword(s):  
Age Groups ◽  
Local Monitoring ◽  
Country Level ◽  
Regional Dynamics ◽  
Spatial Epidemic Model ◽  
Contagion Risk ◽  
Vulnerable Subpopulations ◽  
The Impact ◽  
Mitigation Policies

We use a spatial epidemic model with demographic and geographic heterogeneity to study the regional dynamics of COVID-19 across 133 regions in England. Our model emphasises the role of variability of regional outcomes and heterogeneity across age groups and geographic locations, and provides a framework for assessing the impact of policies targeted towards sub-populations or regions. We define a concept of efficiency for comparative analysis of epidemic control policies and show targeted mitigation policies based on local monitoring to be more efficient than country-level or non-targeted measures. In particular, our results emphasise the importance of shielding vulnerable subpopulations and show that targeted policies based on local monitoring can considerably lower fatality forecasts and, in many cases, prevent the emergence of second waves which may occur under centralised policies.

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