Characteristics Associated with the Dual Behavior of Mask Wearing and Vaccine Acceptance: A Pooled Cross-Sectional Study among Adults in Saskatchewan

Prevalence and determinants of COVID-19 vaccine acceptance among vulnerable populations in Thailand: An application of the health belief model

Background

Assessing the acceptance of vaccinations among vulnerable populations is essential to ensure proper coronavirus disease 2019 (COVID-19) control. This study used the Health Belief Model to examine the intention to vaccinate against COVID-19 among vulnerable populations in Thailand.

Methods

This analytical cross-sectional study was conducted in Thailand between October and November 2021. Using multistage random sampling, 945 individuals from vulnerable populations (i.e., older adults, pregnant women, market or street vendors, and individuals with chronic diseases) were selected and invited to complete a self-reported questionnaire. The questionnaire assessed participants' socioeconomic characteristics, COVID-19 preventive measures, knowledge, preventative health beliefs, and vaccine intention. A generalized linear mixed model was used to identify factors associated with the intention to receive the vaccine.

Results

The prevalence of intent to accept the COVID-19 vaccine was 75.03% (95% confidence interval [CI]: 72.16-77.68). The Health Belief Model factors associated with vaccine acceptance were cue to action (adjusted odds ratio [AOR] = 3.13; 95% CI: 2.07-4.71), perceived benefits (AOR = 2.04; 95% CI: 1.38-3.01), and perceived severity (AOR = 1.77; 95% CI: 1.18-2.65). Significant other covariates were wearing a face mask in the previous month (AOR = 2.62; 95% CI: 1.59-4.31), being 1-2 m away from other people (AOR = 1.58; 95% CI: 1.11-2.24), trust in government (AOR = 1.44; 95% CI: 1.03-2.02). Additionally, women were more likely to accept the COVID-19 vaccine compared to men (AOR = 1.43; 95% CI: 1.02-2.01).

Conclusions

Approximately one quarter of vulnerable individuals do not intend to be vaccinated. Health Belief Models can explain vaccine acceptance, and aid the Ministry of Public Health in planning future efforts to increase vaccine uptake. Healthcare professionals' advice, village health volunteers' information, and partnership collaborations are critical. Facilitating mobile community units, launching educational campaigns, maintaining a distance of 1-2 m from others, and wearing masks may increase COVID-19 vaccine acceptability. This research can help prepare for future pandemics.

COVID-19 Vaccine Acceptance and Its Determinants among Myanmar Migrant Workers in Southern Thailand

Success in eradicating COVID-19 will rely on the rate of vaccination adoption worldwide. Vaccine acceptance among vulnerable groups is critical for preventing the spread of COVID-19 and decreasing unnecessary deaths. The purpose of this study was to report on the willingness to obtain COVID-19 immunization and the factors related to its acceptance among Myanmar migrant workers in southern Thailand. This cross-sectional study consisted of 301 samples collected between October and November 2021 and analyzed using multiple logistic regression. Thirty-nine percent of workers intended to receive the COVID-19 vaccine within a year. The following factors were associated with obtaining the COVID-19 vaccine: a high level of perception of COVID-19 (AOR = 5.43), income less than or equal to 10,000 baht/month (AOR = 6.98), financial status at a sufficient level (AOR = 7.79), wearing a face mask in the previous month almost all the time (AOR =4.26), maintaining 1-2 m of distance from anyone in the last month (AOR =2.51), and measuring temperature in the previous month (AOR = 5.24). High reluctance to accept the COVID-19 vaccine among Myanmar migrant workers can influence efforts to eliminate COVID-19. Collaboration with all stakeholders is critical to helping Myanmar workers understand COVID-19, social measures, and preventive beliefs to increase vaccine uptake.

Leveraging 13 million responses to the U.S. COVID-19 Trends and Impact Survey to examine vaccine hesitancy, vaccination, and mask wearing, January 2021-February 2022

BACKGROUND

The urgency of the COVID-19 pandemic called upon the joint efforts from the scientific and private sectors to work together to track vaccine acceptance and prevention behaviors.

METHODS

Our study utilized individual responses to the Delphi Group at Carnegie Mellon University U.S. COVID-19 Trends and Impact Survey, in partnership with Facebook. We retrieved survey data from January 2021 to February 2022 (n = 13,426,245) to examine contextual and individual-level predictors of COVID-19 vaccine hesitancy, vaccination, and mask wearing in the United States. Adjusted logistic regression models were developed to examine individual and ZIP code predictors of COVID-19 vaccine hesitancy and vaccination status. Given the COVID-19 vaccine was rolled out in phases in the U.S. we conducted analyses stratified by time, January 2021-May 2021 (Time 1) and June 2021-February 2022 (Time 2).

RESULTS

In January 2021 only 9% of U.S. Facebook respondents reported receiving the COVID-19 vaccine, and 45% were vaccine hesitant. By February 2022, 80% of U.S. Facebook respondents were vaccinated and only 18% were vaccine hesitant. Individuals who were older, held higher educational degrees, worked in white collar jobs, wore a mask most or all the time, and identified as white and Asian had higher COVID-19 vaccination rates and lower vaccine hesitancy across Time 1 and Time 2. Essential workers and blue-collar occupations had lower COVID vaccinations and higher vaccine hesitancy. By Time 2, all adults were eligible for the COVID-19 vaccine, but blacks and multiracial individuals had lower vaccination and higher vaccine hesitancy compared to whites. Those 55 years and older and females had higher odds of wearing masks most or all the time. Protective service, construction, and installation and repair occupations had lower odds of wearing masks. ZIP Code level percentage of the population with a bachelors' which was associated with mask wearing, higher vaccination, and lower vaccine hesitancy.

CONCLUSION

Associations found in earlier phases of the pandemic were generally found to also be present later in the pandemic, indicating stability in inequities. Additionally, inequities in these important outcomes suggests more work is needed to bridge gaps to ensure that the burden of COVID-19 risk does not disproportionately fall upon subgroups of the population.