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Background: Parents are more concerned about the available evidence of the safety, efficacy, and tolerability of the pediatric COVID-19 vaccine. Aim: To assess the parents' willingness to vaccinate their children against COVID-19 and associate it with health belief model constructs. Materials and Methods: A countrywide, online, self-administered, cross-sectional survey was conducted from December 15, 2021 to March 8, 2022. The HBM approach was used as a theoretical context to assess the predictors of parents' willingness to vaccinate their children against COVID-19. Results: The majority (1,563; 95.4%) of parents are intended to immunize their children against COVID-19. Parent education, financial status, job, number of children, age-related vaccination status of the child, and household suffering from chronic disorders were significantly associated with a parent's willingness to recommend the COVID-19 vaccine for their children. The findings of HBM constructs indicated that perceived benefits (OR 14.222; 95% CI 7.192-28.124) of the COVID-19 vaccine in children, susceptibility (OR 7.758; 95% CI 3.508-17.155) of children toward COVID-19, and severity (OR 3.820; 95% CI 2.092-6.977) of COVID-19 infection in children were significantly associated with parent acceptance to vaccinate their children. Parents' higher perception of barriers (OR 0.609; 95% CI 0.372-0.999) to vaccination reduces the intention to vaccinate children against COVID-19. Conclusion: The findings of our study reveal that the value of HBM constructs in the identification of predictors associated with the parents' willingness to encourage COVID-19 vaccine for their children. It is important to improve health and reduce the barriers to COVID-19 vaccination among Indian parents having children less than 18 years.
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Ethnicity , Racial Groups , Child , Humans , United States/epidemiology , Socioeconomic Factors , Healthcare Disparities , Health Status DisparitiesABSTRACT
Vaccine hesitancy amongst healthcare workers (HCWs) has been a major challenge throughout the COVID-19 pandemic. While many studies have identified HCW characteristics and specific attitudes associated with COVID-19 vaccine hesitancy, researchers are still working towards developing a holistic understanding of the psychological constructs that influence COVID-19 vaccine decision-making in this population. Between 15 March and 29 March 2021, we distributed an online survey assessing individual characteristics and vaccine-related perceptions to employees of a not-for-profit healthcare system in Southwest Virginia (N = 2459). We then performed exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to describe patterns of vaccine-related thought amongst HCWs and identify latent psychometric constructs involved in vaccine decision-making. The goodness of model fit was assessed using the Tucker-Lewis Index (TLI), the Comparative Fit Index (CFI), and the Root Mean Square Error of Approximation (RMSEA). Internal consistency and reliability of each factor were assessed using Cronbach's alpha. EFA identified four latent psychometric constructs: Lack of trust in the COVID-19 vaccine; Anti-science sentiment; Adverse side-effects; and Situational risk assessment. The goodness of EFA model fit was adequate (TLI > 0.90, RMSEA ≤ 0.08) with acceptable internal consistency and reliability for three of four factors (Cronbach's alpha > 0.70). The CFA model also had adequate goodness of fit (CFI > 0.90, RMSEA ≤ 0.08). We believe the psychometric constructs identified in this study can provide a useful framework for interventions to improve vaccine uptake amongst this critical population.
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Constructing a phylogenetic tree is an essential method of analyzing the evolution of the covid-19 virus. In the case of multiple entities holding different coronavirus genetic data, it is simple to aggregate all data into one entity and then calculate the phylogenetic tree. However, such a method is challenging to carry out. Genetic data is susceptible and has high economic value, and it is usually impossible to copy between different entities directly. Also, the direct sharing of genetic data can lead to data leaks or even legal problems. In this paper, we propose a homomorphic-encryption-based solution to tackle this problem, where two participants, A and B, both hold a part of covid-19 genetic data and compute the gene distance matrix calculation of the overall dataset without revealing the genetic data held by both parties. After the computation, participant A can decrypt the final distance matrix from the encrypted result and then use the plain-text result to construct the covid-19 phylogenetic tree. Experiment results show that the proposed method can process the genetic data accurately in a short time, and the phylogenetic tree generated by the proposed solution has no loss of accuracy compared to plain-text calculation. In terms of engineering optimization, we propose an optimized encryption method, which can further shorten the encryption time of the entire dataset without reducing the security level. © 2022 IEEE.
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The COVID-19 epidemic has hastened the growth of Virtual Communities and is affecting virtually every part of work in the public and business sectors. Virtual communities, popular forums for communication and entertainment, increasingly affected the users' decisions. Though many technology adoption models/theories are available, a distinctive model for decision-making in a virtual environment is scarce. This research developed the virtual communities' decision model and empirically tested its performance. This study examined 16 well-established theories/models of information technology, social science, marketing, and behavioral finance and extracted nine constructs from 58 identified constructs considering theoretical cohesiveness along with the three-stage method proposed by Moore and Benbasat. A unified model for virtual communities' decisions (VCDM) is developed and validated using the data collected from individual capital market investors in Bangladesh. The structural equation modeling technique is used to analyze the data. The upshot implies that VCDM performs adequately and explains the maximum variances in intention to decision and investment. VCDM also outperforms the majority of the related theoretical models. The acceptance levels of fit indices and all significant relationships among different constructs are also empirically validated. The moderating effect of the virtual group use experience is also confirmed. Future research can use VCDM in marketing, behavioral finance, ecommerce, information systems and social science context. VCDM thus facilitates a beneficial tool for managers, service providers, and other users to assess the likelihood of effectiveness for decisions in a virtual environment.
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This article aims to reflect on the concepts of medicine, biopolitics and panopticon, present in the work of the French philosopher Michel Foucault (1926-1984), in the light of the COVID-19 pandemic context. The present article also aims to provide a reflection on the impacts and consequences that the measures adopted to face this pandemic have had on societies, as well as on the possibility and implications for life and social dynamics of some of these measures to remain in force in a post-pandemic context. For this purpose, it is divided into three parts. The first part addresses the transition from species or classical medicine, based on Natural History, to modern or clinical medicine, based on Biology, as well as what was behind that change: a medicine of epidemics. The second part introduces the concepts of biopolitics and panopticon, trying to demonstrate that measures similar to those that have been taken in the current context of the COVID-19 pandemic have also been taken by modern medicine previously. The third part introduces a reflection on the social impacts of the pandemic, taking into consideration that health and illness are social constructs, transformed by the action of individuals and their experiences in society. © 2022 Universidade da Beira Interior. All rights reserved.
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Purpose The COVID-19 pandemic has challenged supply chains (SCs) around the globe unprecedentedly. This study aims to gain insights on the impacts of the pandemic on SCs and their management under consideration of different regional contexts on a global scale. Design/methodology/approach A Delphi study collects the expertise of global SC academics on the SC vulnerabilities and the measures for responding to disruptions, improving resilience, and restoring operations. Data from three polls are systematically analyzed by content, frequency, and cluster analysis. Findings The study identifies and ranks ten major issues related to SC vulnerabilities and management strategies for specific SC processes and geographical regions. Detected differences among the considered geographical regions point towards particular challenges and call for specific measures to integrate regional contingencies into SC management. In a regional comparison, China and Iran as well as Africa clearly stand out, but also Europe/North America, India/Pakistan, and Brazil show geographical particularities. Research limitations/implications The responses are collected against the COVID-19 pandemic, while the findings show differences among the regions thereby arguing for taking regional contingencies into account in managing SCs. Practical implications SC resilience is a core aim, which was emphasized by the COVID-19 pandemic. The findings provide insights and challenges that managers would have to meet in the different regions covered. Originality/value This paper contributes to existing knowledge on SC risks and SC resilience in context to extreme situations. Given that events, such as the COVID-19 pandemic, will become more frequent in the future due to climate change and geopolitical tensions, insights into how to manage SCs under extreme conditions and into regional differences are crucial.
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Purpose This paper aims to evaluate the impacts of the COVID-19 crisis on startups performance and the moderating effects played by several resilience-related startup characteristics during times of crisis. Design/methodology/approach To achieve this, 94 Brazil-based startups were surveyed, and multivariate data techniques (PLS-SEM) were applied. Findings The results show that despite the startups performance having been affected by the pandemic crisis, the response measures, when influenced by the resilience characteristics of these companies, moderated this effect. Furthermore, our findings suggest the future challenges to be faced by these organisations in the post-pandemic period. Research limitations/implications Proposing a framework, our survey research contributes to the dynamic capabilities theory by showing that startups resilience is linked to the micro-foundations of sensing (e.g. innovation systems, resilience culture, pivoting practices, innovativeness products), seizing (e.g. leadership/focused skills, people development and selection, agility, clear vision of business process) and reconfiguring capabilities. Practical implications Not only for theory, but this paper also contributes insights and guidelines for business practice in the face of challenges arising from times of crisis. By demonstrating the positive effect of early response measures based on resilience, our findings provide genuine managerial input that can help managers, funders and decision-makers in these companies operations against turbulent crises early on, thereby supporting the traction phase and sustaining their performance. Originality/value Previous research has examined the effects of the COVID-19 crisis in several sectors and perspectives. However, this study is the first to empirically test and clarify how the resilience and singularities of these new business models based on innovation could react to the changes caused by the pandemic.
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In order to curb the depression levels among youth during the coronavirus disease 2019 (COVID-19) outbreak, we examined the recurrent themes of mixed expressive writing among undergraduates during the pandemic. Previous quantitative studies had emphasized on the effectiveness of expressive writing in reducing depressive symptoms, however, less qualitative studies were conducted in evaluating the content within people’s writings. As the pandemic had caused major disruptions among people, we implemented mixed expressive writing in capturing both positive and negative experiences during the pandemic. Ten participants were recruited to perform mixed expressive writing twice per week, for four consecutive weeks. Thematic analysis was used in analyzing their writings and forming the emerged themes. Five themes were formed, which included ‘school’, ‘relationships’, ‘reflection’, ‘work’, and “random incidents’. Future research should examine the effectiveness of expressive writing in writing specific themes on improving its respective psychological constructs. © 2022, Intelektual Pustaka Media Utama. All rights reserved.
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Increases in the world's population and population density promote the spread of emerging pathogens. Vaccines are the most cost-effective means of preventing this spread. Traditional methods used to identify and produce new vaccines are not adequate, in most instances, to ensure global protection. New technologies are urgently needed to expedite large scale vaccine development. mRNA-based vaccines promise to meet this need. mRNA-based vaccines exhibit a number of potential advantages relative to conventional vaccines, namely they (1) involve neither infectious elements nor a risk of stable integration into the host cell genome; (2) generate humoral and cell-mediated immunity; (3) are well-tolerated by healthy individuals; and (4) are less expensive and produced more rapidly by processes that are readily standardized and scaled-up, improving responsiveness to large emerging outbreaks. Multiple mRNA vaccine platforms have demonstrated efficacy in preventing infectious diseases and treating several types of cancers in humans as well as animal models. This review describes the factors that contribute to maximizing the production of effective mRNA vaccine transcripts and delivery systems, and the clinical applications are discussed in detail.
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BACKGROUND: In March 2020, COVID-19 was declared to be a pandemic. While data suggests that COVID-19 is not associated with significant adverse health outcomes for pregnant women and newborns, the psychological impact on pregnant women is likely to be high. AIM: The aim was to explore the psychological impact of the COVID-19 pandemic on Italian pregnant women, especially regarding concerns and birth expectations. METHODS: A cross-sectional online survey of pregnant women in Italy was conducted. Responses were analysed for all women and segregated into two groups depending on previous experience of pregnancy loss. Analysis of open text responses examined expectations and concerns before and after the onset of the pandemic. FINDINGS: Two hundred pregnant women responded to the first wave of the survey. Most (n=157, 78.5%) had other children and 100 (50.0%) had a previous history of perinatal loss. 'Joy' was the most prevalent emotion expressed before COVID-19 (126, 63.0% before vs 34, 17.0% after; p<0.05); fear was the most prevalent after (15, 7.5% before vs 98, 49.0% after; p<0.05). Positive constructs were prevalent before COVID-19, while negative ones were dominant after (p<0.05). Across the country, women were concerned about COVID-19 and a history of psychological disorders was significantly associated with higher concerns (p<0.05). A previous pregnancy loss did not influence women's concerns. CONCLUSIONS: Women's expectations and concerns regarding childbirth changed significantly as a result of the COVID-19 pandemic in Italy. Women with a history of psychological disorders need particular attention as they seem to experience higher levels of concern.