A comparative study of eight COVID-19 protective measures and their impact on Swiss tourists' travel intentions.

A comparative vignette-based experimental survey design incorporating various socio-psychological factors, linked to the Theory of Planned Behavior (TPB), the Health Belief Model (HBM) and the Domain-Specific Risk-Taking scale (DOSPERT) was carried out to test variations in eight travel-related COVID-19 protective measures on Swiss tourists' travel intentions. Among the tested measures, vaccination passports, surgical masks and quarantining are those that stand out the most, with surgical masks having the greatest acceptance and willingness to adopt while traveling. Quarantining, on the other hand, appears to have a deterrent influence on travel intentions, and vaccination passports have the lowest perceived barriers during travel, but the highest perceived benefits in mitigating the spread of the infection. The discussion of individual differences has specific implications for tourism management against the background of our empirical findings.

The use of Health Belief Model (HBM) to explain factors underlying people to take the COVID-19 vaccine in Indonesia.

Background: SARS-COV-2 (COVID-19) has severely impacted people's health worldwide. Vaccines are one of the health measures taken to reduce the impact of COVID-19, but recent reports have revealed that some people are reluctant to be vaccinated against COVID-19. Understanding the factors underlying an individual's decision to take the COVID-19 vaccine is critical to designing an immunisation programme. This study examines factors that influence the intention to take a COVID-19 vaccine using the modified Health Belief Model (HBM) framework and analysing demographic factors. Method: A cross-sectional online survey was conducted from 10 January to 20 January 2021. Five hundred thirty-seven respondents above 17 years old and residing in Indonesia voluntarily completed an online survey. Survey questions addressed sociodemographic factors; perception of susceptibility, severity, benefits and barriers; cues to action; and intention to take the COVID-19 vaccine. A Structural Equation Modelling (SEM) approach with SmartPLS software was used to analyse the measurements and model construct. Findings: The results showed that the perception of susceptibility, severity, benefits and barriers, as well as cues to action, predicted people's intention to take a COVID-19 vaccine. Model structure explained a large proportion of variance in people's intention to be vaccinated against COVID-19 (R2 = 66.8 %). Some demographic factors affected the key variables of the HBM. People with low and middle income negatively influence feeling severity, beneficial and barrier in intending to take vaccine. Other demographic factors such as sex, age, marriage and living areas did not affect the components of the HBM, except for females influencing severity and people living in urban areas associated with benefits variable. These findings imply that COVID-19 vaccination programmes should focus on providing accurate information about the severity of COVID-19 and the benefits of taking the vaccine. Building people's confidence in their ability to eliminate barriers to taking the vaccine and involving family members and community and religious leaders will increase COVID-19 vaccine uptake. Conclusion: Despite limitations to the study, such as respondent demographics that are unrepresentative of the wider Indonesian population, inadequate survey timing and an exclusive focus on vaccine intention as the outcome variable, the present study contributes to explaining individuals' intentions to take a COVID-19 vaccine in a Eastern country context. This study is valuable to providing public health policy recommendations that focus on effectively designing immunisation programme interventions.

The moderating role of trust in government adoption e-service during Covid-19 pandemic: health belief model perspective.

The present paper discusses the influence of factors in the health belief model (HBM) on adopting government e-services during the Covid-19 pandemic in Indonesia. Furthermore, the present study demonstrates the moderating effect of trust in HBM. Therefore, we propose an interacting model between trust and HBM. A survey of 299 citizens in Indonesia was used to test the proposed model. By using a structural equation model (SEM), this study found that the HBM factors (perceived susceptibility, perceived benefit, perceived barriers, self-efficacy, cues to action, health concern) significantly affect the intention to adopt government e-services during the Covid-19 pandemic, except for the perceived severity factor. In addition, this study reveals the role of the trust variable, which significantly strengthens the effect of HBM on government e-service.

How health beliefs and sense of control predict adherence to COVID-19 prevention guidelines among young adults in South Korea.

This study defined adherence to COVID-19 prevention guidelines as health behavior and examined whether the two constructs of the health belief model (i.e., perceived susceptibility and perceived severity) and sense of control predict the level of adherence among young adults in South Korea. An online survey (N = 200) conducted in June 2021, showed that perceived susceptibility, perceived severity, and sense of control positively predict adherence behavior. Sense of control significantly moderated the relationship between perceived susceptibility and adherence even after controlling for depression and perceived health status. Specifically, individuals with a lower level of perceived susceptibility still adhered to COVID-19 prevention guidelines if they had a higher level of sense of control. The finding demonstrates the key role of sense of control in promoting adherence to COVID-19 prevention guidelines and the relationship between sense of control and two constructs of the health belief model. Implication for public messaging targeted at young adults during pandemic situations is also discussed.

Analyzing Sentiments and Diffusion Characteristics of COVID-19 Vaccine Misinformation Topics in Social Media: A Data Analytics Framework

This study presents a data analytics framework that aims to analyze topics and sentiments associated with COVID-19 vaccine misinformation in social media. A total of 40,359 tweets related to COVID-19 vaccination were collected between January 2021 and March 2021. Misinformation was detected using multiple predictive machine learning models. Latent Dirichlet allocation (LDA) topic model was used to identify dominant topics in COVID-19 vaccine misinformation. Sentiment orientation of misinformation was analyzed using a lexicon-based approach. An independent-samples t-test was performed to compare the number of replies, retweets, and likes of misinformation with different sentiment orientations. Based on the data sample, the results show that COVID-19 vaccine misinformation included 21 major topics. Across all misinformation topics, the average number of replies, retweets, and likes of tweets with negative sentiment was 2.26, 2.68, and 3.29 times higher, respectively, than those with positive sentiment.

Understanding the impact process of vaccine adoption for COVID-19.

Vaccination for the novel coronavirus disease 2019 (COVID-19) provides an effective approach for the general improvement of social safety and individual health. To date, few studies have analyzed the adoption of COVID-19 vaccines from an entire impact process perspective. Using the health belief model (HBM) and the valence theory, this research evaluates the impact process of vaccine adoption for COVID-19. The respondents in this study were individuals who have been vaccinated in China. The effective sample included 595 individuals. Four valuable and novel findings are identified through this research. First, neither perceived susceptibility nor perceived severity has a statistically significant impact on the benefits from vaccination, threats from vaccination and self-efficacy. Second, benefits from vaccination produce a significant positive effect on self-efficacy and vaccine adoption. Third, threats from vaccination produce a significant negative effect on self-efficacy and vaccine adoption. Fourth, both self-efficacy and cues to adoption produce a significantly positive impact on vaccine adoption. Our theoretical model, which is the main contribution of this research, indicates that individual vaccine adoption is simply a process that leads from behavioral cognition to behavioral intention, rather than from psychological perception to behavioral cognition and then from behavioral cognition to behavioral intention.

COVID-19 Beliefs Among Hispanic and Latinx Virginians: An Application of the Health Belief Model

IntroductionCOVID-19 disproportionally affects U.S. Hispanic and Latinx individuals. Guided by the Health Belief Model, we examined COVID-19 beliefs among Hispanic and Latinx adults in Virginia. MethodRespondents (n = 414) were Hispanic and/or Latinx adults in Virginia recruited via Qualtrics panel between May and September 2021. Approximately two-thirds completed the survey in English (63.0%), and one-third completed the survey in Spanish (37.0%). ResultsMost respondents self-reported as vaccinated (72%). Vaccinated respondents reported greater perceived severity and susceptibility to COVID-19 than unvaccinated respondents. Perceived benefits and barriers to vaccination were identified among vaccinated and unvaccinated respondents, respectively. Among unvaccinated respondents, self-efficacy was greater for individuals who planned to get vaccinated compared with those who did not or were unsure. For cues-to-action, vaccinated and unvaccinated respondents identified credible sources and channels for COVID-19 information. ConclusionOur results highlight several opportunities and challenges to promoting COVID-19 awareness and vaccination among Hispanic and Latinx adults.

COVID-19 and Pro-environmental Behaviour at Destinations Amongst International Travellers.

This paper investigates the COVID-19 pandemic, and its impact on pro-environmental behaviour of individuals travelling internationally for leisure and recreational purposes. The aim of this manuscript is to investigate a conceptual framework created through the examination of current existing literature in the field of tourism science. The conceptual framework, consisting of certain constructs of the health belief model (HBM), and the theory of planned behaviour (TPB), is applied and tested using a partial least-squares-structural equation modelling (PLS-SEM). Data were collected from participants who have travelled internationally before and during the outbreak of the COVID-19 pandemic, and those who plan to travel post-COVID-19 pandemic. Results revealed that the conceptual framework tested positively against existing theory, highlighting the key influencing factors in which COVID-19 is likely to have on future pro-environmental behaviour of individuals travelling internationally for leisure and recreational purposes. Moreover, perceived safety threat and outcome expectations have a positive impact on attitude; attitude has a positive impact on behavioural intentions; subjective norm has a positive impact on behavioural intentions, and perceived behavioural control has a positive impact on behavioural intentions. The study results identify practical and theoretical implications for global and travel companies and organisations, presenting opportunities to adjust environmental policies and procedures accordingly, whilst identifying the most effective marketing and management strategies to rebuild a collapsed global travel industry.

Consumption of Branded Functional Beverages Post-COVID Pandemic: An Empirical Investigation in a Developing Economy Using Behavioral Change Models

This study examined Branded Functional Beverage (BFB) consumption behavior in the post-pandemic setting using a psychosocial theoretical framework derived from the tenets of Theory of Planned Behavior (TPB) and the Health Belief Model (HBM). The theoretical framework was tested using the Partial Least Squares-Structural Equation Modeling method. A structured questionnaire was used to collect data from branded functional beverage consumers aged 18 and up. For the final data analysis, 445 usable questionnaires were utilized. This study revealed that perceived behavioral control and subjective norms were significant predictors of BFB purchase intention and subsequent consumption behavior in the post-pandemic period. The perceived threat of NCDs did not affect purchase intention or consumption behavior. Perceived susceptibility indirectly affected BFB purchase intention and consumption behavior via subjective norms (role of subjective norms as a “mediator”). The study implied that to positively influence the subjective norms of potential BFB customers, food marketers should focus on “opinion” leaders and subject experts. The companies may devise appropriate options for delivering functional beverage products to consumers’ doors via m-commerce and e-commerce platforms at competitive prices. They may also focus on customer education centered on the superior quality of their “functional” product portfolio and the ways of acquiring those at the minimum cost during this post-pandemic period. This pioneering study investigated the use of TPB and HBM in the context of post-pandemic functional beverage consumption. To build healthier and more robust food systems, governments and public health authorities across the world should proactively design and execute policies to promote sustained and strategic changes through functional foods and beverages. They must acknowledge that good nutrition is a priority for public health at all levels, equity, and economic security. [ FROM AUTHOR] Copyright of Journal of Food Products Marketing is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Interrogating COVID-19 vaccine intent in the Philippines with a nationwide open-access online survey.

To mitigate the unprecedented health, social, and economic damage of COVID-19, the Philippines is undertaking a nationwide vaccination program to mitigate the effects of the global pandemic. In this study, we interrogated COVID-19 vaccine intent in the country by deploying a nationwide open-access online survey, two months before the rollout of the national vaccination program. The Health Belief Model (HBM) posits that people are likely to adopt disease prevention behaviors and to accept medical interventions like vaccines if there is sufficient motivation and cues to action. A majority of our 7,193 respondents (62.5%) indicated that they were willing to be vaccinated against COVID-19. Moreover, multivariable analysis revealed that HBM constructs were associated with vaccination intention in the Philippines. Perceptions of high susceptibility, high severity, and significant benefits were all good predictors for vaccination intent. We also found that external cues to action were important. Large majorities of our respondents would only receive the COVID-19 vaccines after many others had received it (72.8%) or after politicians had received it (68.2%). Finally, our study revealed that most (21%) were willing to pay an amount of PHP 1,000 (USD20) for the COVID-19 vaccines with an average willing-to-pay amount of PHP1,892 (USD38).

How News Agencies' Twitter Posts on COVID-19 Vaccines Attract Audiences' Twitter Engagement: A Content Analysis.

As the most important global news distributors, the big three international news agencies' reports about COVID-19 vaccines have a great influence on people's understanding of them. Based on the health belief model (HBM), we examined which constructs in the HBM were related to audiences' Twitter engagement and the differences among the agencies. We content-analyzed 1162 COVID-19 vaccine-related tweets from three international news agencies' Twitter accounts (@AFPespanol, @AP, @Reuters) from 2 December 2020 to 31 January 2021. The results showed that the most-used HBM construct was barriers, followed by benefits, susceptibility, cues to action, severity, and self-efficacy. About half of the tweets used a positive tone and nearly half of the tweets used a neutral tone, while only 3.1% of the tweets used a negative tone. Reuters used a significantly more negative tone, more neutral tone, and less positive tone than was expected. AFP used a significantly more positive tone and less neutral tone than was expected. The effectiveness of utilizing HBM constructs for vaccination promotion strongly depends on the audience context. The use of HBM constructs for vaccination was generally effective for Reuters but seems to have backfired for AFP.

The Relationships Between Socioeconomic Status, COVID-19 Risk Perceptions, and the Adoption of Protective Measures in a Mid-Western City in the United States.

An individual's perception of risk plays an influential role in the behaviors they engage in, which could reduce or increase exposure or transmission of a certain disease. Since risk perceptions vary by social identities (e.g., gender, race/ethnicity, age) they are believed to influence the interpretation and likelihood of following guidance from risk-communication efforts. This study aims to understand how COVID-19 risk perceptions vary by social identity (with an emphasis upon socioeconomic factors), how such identities influence behavior adoption through risk-communication pathways, and how findings can be practically applied in messaging. Previous studies have investigated the role of social factors on risk perceptions, but SES has not been modeled as the main factor. Guided by the Health Belief Model and Social Determinant of Health Frameworks, findings from our 326 participants suggest those with high-risk COVID-19 perceptions identified as higher income and held more advanced educational degrees, suggesting a positive relationship between risk perceptions and SES. Individuals with high-risk perceptions more frequently reported practicing protective behaviors against COVID-19 and reported greater severity, susceptibility, barriers, benefits, trust, confidence, and health literacy in adopting behavior changes against the virus. When applying such findings to create a local risk-communication plan (logic model), it was found that messaging should be culturally relevant, in-plain language, and consistent to improve health literacy. In addition to using the most trusted and frequently used communication sources self-identified by residents, we recommend uniting trusted formal and informal community leaders to provide information in diverse pathways and formats.

Does Seeing What Others Do Through Social Media Influence Vaccine Uptake and Help in the Herd Immunity Through Vaccination? A Cross-Sectional Analysis.

Widespread acceptance of COVID-19 vaccination is the next major step in fighting the pandemic. However, significant variations are observed in the willingness to take the vaccination by citizens across different countries. Arguably, differences in vaccination intentions will be influenced by beliefs around vaccines to influence health. Often perceptions of what others are doing and the information available guide individuals' behaviors for vaccination. This is more so in the digital age with the influence of the internet and media. This study aims to determine the factors that impact willingness to vaccinate for COVID-19. We examined factors associated with acceptance of vaccine based on (1) constructs of the Health Belief Model (HBM), (2) sources of information, (3) social media usage, (4) knowledge of COVID-19 treatment, and (5) perception of government's efforts for mitigation. Randomly sampled online survey data was collected by a global firm between December 2020 and January 2021 from 372 citizens (with a response rate of 96.6%) from multiple regions, including North America, the Middle East, Europe, and Asia. Ordered probit regression suggests that the health belief model constructs hold. Perceived severity of COVID-19 (P < 0.001) and action cues of others taking the vaccine positively influences a subject's vaccine intent (P < 0.001), perceived benefits and perceived efficacy of the vaccine positively influences a subject's vaccine intent (P < 0.001). Perceived barriers negatively influence vaccine intent (P < 0.001). Interestingly as for media usage, mainstream media (e.g., TV, newspaper) (P = 0.006) and social media (P = 0.013) both negatively influence a subject's vaccine intent. Social media platforms that are more entertainment and social-based, such as Whatsapp, Instagram, and YouTube, have a negative and significant influence on vaccine intent (P = 0.061), compared to other more information-based social media platforms (e.g., Twitter, LinkedIn). Knowledge of COVID-19 treatment positively influences vaccine intent (P = 0.023). Lastly, governmental efforts' perceived reliability in mitigation strategy (P = 0.028) and response efforts (P = 0.004) negatively influence vaccine intent. The study highlights the "wait-and-see" action cue from others and leaders in the community. It also informs the importance of shaping media information for vaccination through informative media and social media outlets to counteract any misinformation.

Predictors of parents' infant vaccination decisions: A concept derivation.

The myths surrounding coronavirus disease 2019 (COVID-19) vaccines have prompted scientists to refocus their attention on vaccine hesitancy, which is fuelled by the spread of misinformation. The scientific investigation of behavioural concepts relating to vaccine hesitancy can be enhanced by the examination of behavioural concepts from the field of consumer sciences. South African consumer scientists study personal decisions that contribute to individuals' well-being, including the decisions to prevent ill health. Current data on the predictors of vaccination decisions do not incorporate consumer science constructs imperative in decision-making, which could provide fresh insights in addressing vaccine hesitancy. This study aimed to investigate and illustrate the analogy between concepts of the Health Belief Model (HBM) as parent model, and consumer behaviour that could affect parents' infant vaccination decisions, by applying a concept derivation approach. The HBM was analysed within the context of public health, including literature from consumers' vaccination decisions, medical decisions, paediatrics, vaccinology, virology and nursing. Through a qualitative, theory derivation strategy, six main concepts of the HBM were redefined to consumer sciences, using four iterative concept derivation steps. Concept derivation resulted in consumer behaviour concepts that could be possible predictors of parents' infant vaccination decisions, including consumers' values; risk perception; consideration of immediate and future consequences; self-efficacy; cues to action; demographics; personal information and knowledge. These predictors could be a starting point for a context- and product-specific consumer primary preventive healthcare decisions model. Our findings highlight the opportunities for interdisciplinary collaboration in investigating consumer primary healthcare-related behaviour. CONTRIBUTION: This study introduced interfaces between consumer science and health science literature. Through interdisciplinary collaboration, a better understanding of influences to promote primary preventive healthcare can be achieved.

Assessing COVID-19 preventive behaviours using the health belief model: A Sri Lankan study.

OBJECTIVE: The novel coronavirus (COVID-19) is turning out to be one of the most severe public health crises in recent history. Promoting preventive behaviour among the public is of paramount importance to effectively contain the disease. Hence, this research attempts to identify factors that affect preventive behaviour against COVID-19. METHODS: The Health Belief Model (HBM), which outlines how perceived susceptibility, severity, benefits, barriers, and health motivation affect individuals' health behaviour, served as the theoretical basis of the study. As the outcome measure of the study was cues to action against COVID-19, a regression analysis was conducted to explore how the aforementioned HBM constructs influence the cues to action. The data were collected using an online survey with a total of 307 respondents. RESULTS: The results revealed that perceived benefits (0.395, p < 0.001), self-efficacy (0.405, p < 0.001), and general health motivation (0.313, p < 0.001) had significant positive impacts on the cues to action taken to prevent COVID-19, whereas perceived barriers (-0.097, p < 0.05) had a significant negative impact. The statistical analysis further revealed that the cues to action taken to prevent COVID-19 were not significantly influenced by perceived susceptibility and perceived severity. CONCLUSION: The study reinstates the usability of the HBM in exploring health behaviour. Importantly, the study findings suggest that by informing the public of the benefits of prevention and general health motivation, and by encouraging self-efficacy and eliminating the barriers to prevention, preventive actions against COVID-19 can be effectively promoted.

Using structural equation modeling to predict Indian people's attitudes and intentions towards COVID-19 vaccination.

BACKGROUND AND AIM: Understanding people's attitudes towards Covid-19 vaccination is crucial to the successful implementation of a vaccination program. Hence this research study seeks to identify critical factors influencing Indian people's attitudes and intentions to take up Covid-19 vaccinations. METHODS: An online questionnaire was administered to a sample (n = 254) drawn from Indian population, to assess the impact of perceived benefits, risk perceptions, social media exposure, social norms, and trust associated with Covid-19 vaccines on people's attitudes towards Covid-19 vaccines and their intentions to take up the Covid-19 vaccinations. RESULTS: The findings showed that the perceived benefits, social norms, and trust correlated significantly with people's attitudes towards Covid-19 vaccinations. In contrast, risk perceptions and social media exposure showed an insignificant influence on people's attitudes towards Covid-19 vaccinations. Social norms, trust, and people's attitudes towards the Covid-19 vaccinations are significantly correlated with their intentions to take up Covid-19 vaccinations. On the contrary, social media exposure was found to have an insignificant influence on people's intentions to take up Covid-19 vaccinations. CONCLUSION: Participants' intentions to take up Covid-19 vaccinations was influenced mainly by their attitudes and perceptions of Covid-19 vaccines in general, which strongly confirms the importance of various dimensions (perceived benefits, trust, social norms) of Covid-19 vaccines in cultivating Covid-19 vaccination acceptance among participants'.