Perceived Benefits Matter the Most in COVID-19 Preventive Behaviors: Empirical Evidence from Okara District, Pakistan

Subgroup Behaviors and Factors Influencing Compliance With COVID-19 Preventive Measures Among Undergraduate Students in Southern Thailand

Objective

To investigate clusters of students' COVID-19 preventive behaviors and their associated factors.

Methods

We surveyed undergraduate students using an online questionnaire at a regional university in southern Thailand, between April and June 2022. Statistical analyses included latent class analysis and multinomial regression analysis.

Results

Three latent classes were identified: moderately consistent practitioner (7.5%), high compliance overall (48.9%), and good compliance with routine safeguards (43.6%). Females tended to have high compliance overall (RRR 2.46 95% CI 1.23-4.94), and higher academic performance was associated with high compliance overall and good routine safeguards. Perceived threats from COVID-19 were associated with good compliance with routine safeguards (RRR 4.21 95% CI 1.70-10.45). Benefits of actions and clear cues to action were associated with high overall compliance (RRR 5.24 95% CI 2.13-12.90). Students who perceived feasibility were more likely to be moderately consistent practitioners.

Conclusion

The common clusters of the students' preventive behaviors were high compliance overall and good compliance with routine preventions. Female, academic performance, perceived threats, and perceived benefits and cues to action were associated with compliance.

Understanding Factors Contributing to Vaccine Hesitancy in a Large Metropolitan Area

Vaccine hesitancy has become a major global concern, leading to a significant decrease in the vaccination rate, with the World Health Organization recognizing it as one of the top ten threats to public health. Moreover, the health cost generated is evaluated to be 27 billion dollars per year in the US alone. To investigate the association between demographic variables and knowledge, attitudes, and behaviours related to vaccination, a survey-based cross-sectional study was conducted with 1163 individuals. Three models were used to perform a multiple linear regression analysis. In Model I, knowledge about vaccinations was found to be associated with smoking habits, education, and marital status. In Model II, attitudes towards vaccinations were significantly associated with sex, smoking habits, education, marital status, and knowledge. In Model III, behaviours related to vaccination were associated with sex, smoking habits, having children, knowledge, and attitudes. One potential solution to improve behaviours related to vaccinations in the general population is to implement specific public health programs, which can be a cost-effective intervention. This study provides valuable insights into the determinants of knowledge, attitudes, and behaviours related to vaccinations in the general population.

A machine learning ensemble approach to predicting factors affecting the intention and usage behavior towards online groceries applications in the Philippines

The emergence of e-commerce platforms, especially online grocery shopping, is heightened by the COVID-19 pandemic. Filipino consumers started to adapt online due to the strict quarantine implementations in the country. This study intended to predict and evaluate factors influencing the intention and usage behavior towards online groceries incorporating the integrated Protection Motivation Theory and an extended Unified Theory of Acceptance and Use of Technology applying machine learning ensemble. A total of 373 Filipino consumers of online groceries responded to the survey and evaluated factors under the integrated framework. Artificial Neural Network that is 96.63 % accurate with aligned with the result of the Random Forest Classifier (96 % accuracy with 0.00 standard deviation) having Perceived Benefits as the most significant factor followed by Perceived Vulnerability, Behavioral Intention, Performance Expectancy, and Perceived. These factors will lead to very high usage of online grocery applications. It was established that machine learning algorithms can be used in predicting consumer behavior. These findings may be applied and extended to serve as a framework for government agencies and grocers to market convenient and safe grocery shopping globally.

Cognitive and Emotional Motivation to Explain Infection-Prevention Behaviors with Social Support as a Mediator During the COVID-19 Pandemic: A Nationwide Cross-Sectional Study in Korea

Purpose

To predict the performance of infection-prevention behaviors among adults in Korea based on the health belief model, using social support as a mediator.

Patients and Methods

A nationwide cross-sectional survey of 700 participants from the local community was conducted using both online and offline methods from 8 metropolitan cities and 9 provinces in Korea from November 2021 to March 2022. The questionnaire was composed of 4 sections: demographic information, motivational factors for behavior change, social support, and infection-prevention behaviors. Data were analyzed using structural equation modeling with the AMOS program. The general least-squares method was applied to assess the fit of the model and the bootstrapping method was tested for indirect effect and the total effect.

Results

Motivation factors that directly affected infection-prevention behaviors were self-efficacy (γ=0.58, p<0.001), perceived barriers (γ=-.08, p=0.004), perceived benefits (γ=0.10, p=0.002), perceived threats (γ=0.08, p=0.009), and social support (γ=0.13, p<0.001), after controlling for related demographic variables. Cognitive and emotional motivation factors together explained 59% of the variance in infection-prevention behaviors. Social support exerted significant mediating effects between each cognitive and emotional motivation variable and infection-prevention behaviors, along with a significant direct effect on infection-prevention behaviors (γ=0.12, p<0.001).

Conclusion

The engagement of prevention behaviors among community-dwelling adults was influenced by their self-efficacy, perceived barriers, perceived benefits, and perceived threats with social support as a mediator. Prevention policy approaches could include providing specific information to improve self-efficacy and build awareness of the severity of the disease while establishing a supportive social environment for promoting health behaviors during the COVID-19 pandemic.

COVID-19 Vaccination Acceptance in the Context of the Health Belief Model: Comparative Cross-Sectional Study in Punjab, Pakistan

One of the models that could be used to understand the adoption of vaccine uptake is the Health Belief Model (HBM). The aim of this study is to assess the role of HBM constructs and Perceived Health Status (PHS) on the vaccination status of individuals and to understand the role of socio-demographic variables on HBM scoring. A comparative cross-sectional telephone survey was conducted among 1325 vaccinated (60.0%) and non-vaccinated (40.0%) individuals aged 40 years and above in July 2021 in Punjab province, Pakistan. A higher level of education was the strongest predictor of positive HBM. All constructs of HBM, PHS and cues-to-action were significant predictors of COVID-19 vaccination uptake, with perceived benefits as the strongest predictor. In order to expand the vaccination coverage, double-pronged interventions utilizing both information and communication technology and human resources should be designed that address each barrier perceived by individuals and understandably communicate the benefits of COVID-19 vaccination to the broader population.

Measuring the Intention in Favour and Against Getting Vaccinated from COVID-19 Using the Health Belief Model: Cross-Sectional Study of Pakistan

Vaccination is without a doubt one of the most efficient ways to stop the COVID-19 pandemic from spreading. The goal of this study was to look into the acceptance and resistance to COVID-19 vaccination and its associated components using the Health Belief Model, which is a framework for changing health behaviours (HBM). The current study is quantitative; hence data was collected from attendants of patients admitted to hospitals in Pakistan's top-tier cities using a survey-based self-administered questionnaire. Nonprobability convenient sampling was utilised to approach the respondents. The model was tested in two stages using partial least squares (variance-based structural equation modelling). The measurement model's reliability and validity imply that the data is reliable and valid. Except for the impact of benefits on accepting behaviour, all of the study postulated relationships are supported by the results. The study agenda adds to our understanding of health care, immunisation, consumer behaviour, and behavioural research. It adds to the body of knowledge in the fields of immunisation and behavioural research by examining people's behaviours and changes during the worldwide mass vaccination period.

Promoting COVID-19 Vaccination Using the Health Belief Model: Does Information Acquisition from Divergent Sources Make a Difference?

As a promising approach to stop the escalation of the pandemic, COVID-19 vaccine promotion is becoming a challenging task for authorities worldwide. The purpose of this study was to identify the effective sources for disseminating information on the COVID-19 vaccine to promote individuals' behavioral intention to take the vaccine. Based on the Health Belief Model (HBM), this study illustrated the mechanism of how COVID-19 information acquisition from different sources was transformed into vaccination intentions via health beliefs. Using an online survey in China, the structural equation model results revealed that perceived benefits and cues to action were positively associated with COVID-19 vaccination intentions, and perceived barriers were negatively related to the intentions. However, perceived susceptibility and perceived severity had no significant relationships with the intentions. Moreover, the findings unveiled differences in the effects of acquiring information via multiple sources among traditional media, new media, and interpersonal interactions. Notably, new media and interpersonal interactions were more salient in promoting vaccination intention via health beliefs, compared with traditional media. The findings from this study will benefit health officials in terms of utilizing different information sources in vaccine programs.

COVID-19 vaccine hesitancy among the adult population in Bangladesh: A nationwide cross-sectional survey

INTRODUCTION

Studies related to the COVID-19 vaccine hesitancy are scanty in Bangladesh, despite the growing necessity of understanding the population behavior related to vaccination. Thus, the present study was conducted to assess the prevalence of the COVID-19 vaccine hesitancy and its associated factors in Bangladesh to fill the knowledge gap.

METHODS AND MATERIALS

This study adopted a cross-sectional design to collect data from 1497 respondents using online (Google forms) and face-to-face interviews from eight administrative divisions of Bangladesh between 1-7 February 2021. We employed descriptive statistics and multiple logistic regression analysis.

RESULTS

The prevalence of vaccine hesitancy was 46.2%. The Muslims (aOR = 1.80, p ≤ 0.01) and the respondents living in the city corporation areas (aOR = 2.14, p ≤0.001) had more hesitancy. There was significant variation in vaccine hesitancy by administrative divisions (geographic regions). Compared to the Sylhet division, the participants from Khulna (aOR = 1.31, p ≤0.001) had higher hesitancy. The vaccine hesitancy tended to decrease with increasing knowledge about the vaccine (aOR = 0.88, p≤0.001) and the vaccination process (aOR = 0.91, p ≤ 0.01). On the other hand, hesitancy increased with the increased negative attitudes towards the vaccine (aOR = 1.17, p≤0.001) and conspiracy beliefs towards the COVID-19 vaccine (aOR = 1.04, p≤0.01). The perceived benefits of COVID-19 vaccination (aOR = 0.85, p≤0.001) were negatively associated with hesitancy, while perceived barriers (aOR = 1.16, p ≤0.001) were positively associated. The participants were more hesitant to accept the vaccine from a specific country of origin (India, USA, Europe).

CONCLUSIONS

Our findings warrant that a vigorous behavior change communication campaign should be designed and implemented to demystify negative public attitudes and conspiracy beliefs regarding the COVID-19 Vaccine in Bangladesh. The policymakers should also think about revisiting the policy of the online registration process to receive the COVID-19 vaccine, as online registration is a key structural barrier for many due to the persistent digital divide in the country. Finally, the government should consider the population's preference regarding vaccines' country of manufacture to reduce the COVID-19 vaccine hesitancy.