ABSTRACT
Objective Health maintenance of the general public through vaccination is a significant component of controlling the COVID-19 pandemic. This study aims to examine the perception of Nigerians toward the COVID-19 vaccine. Methods: Informed by the Extended Parallel Process Model (EPPM), 793 Nigerian participants completed a cross-sectional self-administered online survey to assess: (1) their perception of COVID-19 based on fear-mongering information on social media (2) the potential relationship between threat perception, efficacy, and fear associated with the COVID-19 vaccine, vaccine hesitancy, and attitudes toward the decision to uptake the vaccine using structural equation modeling (SEM) analysis, and (3) we further employed the use of the hierarchical regression analysis to test the moderating effect of mindful critical thinking between vaccine hesitancy and attitudes toward vaccines. Results Most participants (65.7%) intend to uptake the COVID-19 vaccine. However, many people did not fear the disease (19.2%). Threat perception and efficacy were associated with a decision to uptake the COVID-19 vaccine via the mediation of attitudes toward vaccines. Previous vaccine hesitancy has no relationship with uptake decisions. The hierarchical regression analysis showed that participants exhibiting high critical thinking mindfulness were more interested in taking the vaccine. Conclusions The findings of this study demonstrate that EPPM constructs are effective predictors of the public's decision to uptake the COVID-19 vaccine. This research highlights the theoretical and practical implications.
ABSTRACT
China used to be the world's leading nation in terms of international (outward) tourism till the COVID-19 outbreak. However, due to the COVID-19 crisis, several new macro and micro-level factors might affect their international (outward) traveling behavior. The purpose of the current research was to examine the avoidance of international traveling for leisure in the Chinese population. The goal of the study was to highlight the importance of information self-efficacy and digital literacy as the key factors influencing tourists' traveling readiness. To achieve the goal, the study adapted the quantitative instruments from existing sources to map media exhaustion, information overload, and perceived health concerns, i.e., perceived effectiveness of health-protective measures, fear of new possible outbreaks, and pandemic crisis at source and destination. Chinese citizens' opinions were collected during the third quarter of the year 2022. Specifically, the quantitative survey from China collected a total number of 1308 respondents. This study used the statistical analysis software SPSS to analyze collected data. The findings conclude that the role of media is pivotal to shaping and predicting future trends in tourism preferences, perception of protective measures against COVID-19, and perceived seriousness of the pandemic crisis in the Chinese population. In addition, technology readiness (as hard self-efficacy) and health-related information literacy (soft self-efficacy) are critical to cope with the dark aspects of information exhaustion, overload, and pandemic seriousness in the post-truth era. The study is unique, as it examines the role of the seriousness of the pandemic at its source and destination and fear of new outbreaks simultaneously, underlining the potential future of immersive tourism (i.e., virtual reality, augmented reality, or mixed reality-based tourism). This study has drawn interesting theoretical and practical implications for researchers, policymakers, and academicians.
ABSTRACT
Background: Technological innovations gained momentum and supported COVID-19 intelligence surveillance among high-risk populations globally. We examined technology surveillance using mobile thermometer detectors (MTDs), knowledge of App, and self-efficacy as a means of sensing body temperature as a measure of COVID-19 risk mitigation. In a cross-sectional survey, we explored COVID-19 risk mitigation, mobile temperature detectable by network syndromic surveillance mobility, detachable from clinicians, and laboratory diagnoses to elucidate the magnitude of community monitoring. Materials and Methods: In a cross-sectional survey, we create in-depth comprehension of risk mitigation, mobile temperature Thermometer detector, and other variables for surveillance and monitoring among 850 university students and healthcare workers. An applied structural equation model was adopted for analysis with Amos v.24. We established that mobile usability knowledge of APP could effectively aid in COVID-19 intelligence risk mitigation. Moreover, both self-efficacy and mobile temperature positively strengthened data visualization for public health decision-making. Results: The algorithms utilize a validated point-of-center test to ascertain the HealthCode scanning system for a positive or negative COVID-19 notification. The MTD is an alternative personal self-testing procedure used to verify temperature rates based on previous SARS-CoV-2 and future mobility digital health. Personal self-care of MTD mobility and knowledge of mHealth apps can specifically manage COVID-19 mitigation in high or low terrestrial areas. We found mobile usability, mobile self-efficacy, and app knowledge were statistically significant to COVID-19 mitigation. Additionally, interaction strengthened the positive relationship between self-efficacy and COVID-19. Data aggregation is entrusted with government database agencies, using natural language processing and machine learning mechanisms to validate and analyze. Conclusion: The study shows that temperature thermometer detectors, mobile usability, and knowledge of App enhanced COVID-19 risk mitigation in a high or low-risk environment. The standardizing dataset is necessary to ensure privacy and security preservation of data ethics.
ABSTRACT
Vaccination is a vital component in the battle against outbreaks of infectious diseases. Recognizing parents' reluctance to vaccinate their children is even more critical now, given the ongoing threat of a COVID-19 pandemic. Conspiracy theories, vaccination safety concerns, parental efficacy and risk perception, and a lack of confidence in science all influence intention. To investigate how these variables interact with vaccination behavior against COVID-19, we developed a model with psychosocial factors serving as the predictor and mistrust in science and vaccine knowledge serving as the mediator. In order to validate the model, the parents' intentions regarding their children's vaccination with COVID-19 were used. The study included 454 Pakistani parents who completed an online questionnaire assessing their intention to vaccinate their children. We analyzed the data using structural equation modeling (SEM). A significant level of vaccine hesitation is due to belief in vaccine conspiracy theories, and vaccine safety concerns were investigated. A surprising correlation exists between risk perception and vaccination intentions, followed by parental self-efficacy. It is significant to note that vaccine knowledge mediated conspiracy beliefs, risk perceptions, and intentions fully but partially mediated parental self-efficacy. Conspiracy theories were mediated by a mistrust in science, while perceptions of risk and vaccine safety were partially mediated. The findings of this research were used to develop sensible policy reforms and public health campaigns to encourage vaccination against both common infections such as measles, human papillomaviruses, or pertussis, and novel diseases such as COVID-19.