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COVID-19 vaccine hesitancy among undergraduate students in Thailand during the peak of the third wave of the coronavirus pandemic in 2021

  • Su Myat Lin , Cheerawit Rattanapan , Aroonsri Mongkolchati , Myo Nyein Aung , Weerawat Ounsaneha , Netchanok Sritoomma and Orapin Laosee EMAIL logo
Published/Copyright: August 24, 2022
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Abstract

Objectives

To determine the point prevalence of undergraduate students who are hesitant to accept COVID-19 vaccination and to identify the predictors of COVID-19 vaccine hesitancy in university students.

Methods

A cross-sectional study was conducted during June–July 2021. A total of 542 undergraduate students from universities in three central provinces of Thailand participated in an online survey via Google Form. We used a transculturally translated, Thai version of the Oxford Coronavirus Explanations, Attitudes, and Narratives Survey (OCEANS II).

Results

There were 217 undergraduate students (40%) who were hesitant to receive the COVID-19 vaccine and the significant predictors for this hesitancy were: being students in Year 2 and higher (AOR: 2.73; 95% CI: 1.55–4.84); having negative beliefs toward the COVID-19 vaccine (AOR: 10.99; 95% CI: 6.82–17.73); and having a perceived positive general vaccine conspiracy belief (AOR: 1.90; 95% CI: 1.02–3.52).

Conclusions

It is important to minimize vaccine hesitancy among Thai undergraduate students with a negative perception of vaccines by clarifying false information.

Introduction

The novel coronavirus disease 2019 (COVID-19) has affected the whole world, including Thailand, where the total number of cases reached over 1.3 million on 13 September 2021 (World Health Organization 2021). A high number of deaths were reported due to COVID-19, either from respiratory failure or complications resulting from the vaccine (Bangkok Post 2021a; Wipatayotin 2021). Even though the novel COVID-19 vaccine has shown both its effectiveness and failures after the first six introductory months, it is still important to achieve herd immunity by getting more people fully vaccinated (D’Souza and Dowdy 2021). The Thai government has successfully procured approximately 63 million COVID-19 vaccine doses (as of 22 February 2021), accounting for 45% of the Thai population, and the country allocated the first dose of COVID vaccine on 16 March 2021. Similar to other countries’ vaccine strategies, during the first phase it was individuals working in healthcare who were prioritized, followed by people with chronic diseases and older persons.

As warned by the World Health Organization in 2019, vaccine hesitancy is regarded as a global health threat. Amid the pandemic, hesitancy toward COVID-19 vaccines has been found paradoxically even in the population of the United States, where their Food and Drug Administration-approved vaccines are effective and safe (D’Souza and Dowdy 2021). This behaviour of delay in acceptance or refusal of vaccines can arise from several determinants, ranging from social to political to health service experiences (Dubé et al. 2013). Likewise, the COVID-19 vaccine acceptance rate among the Thai population could be increased by several factors, including vaccine safeness (Kitro et al. 2021).

The 3C (Confidence, Complacency, Convenience) model of vaccine hesitancy was introduced to map three main factors influencing vaccine uptake (Local Government Association 2021). Based on the limited amount of COVID-19 vaccine in Thailand, effective vaccine allocation is hard to achieve by considering social benefits and equity. In April 2021, Thailand started to vaccinate the adult populations after the prioritized group. However, the current COVID-19 vaccine supply is exceptionally limited (at the time of the study), with uncertainty to access, especially in younger adult populations. A research study in Thailand indicated that adults aged 40 years and above tended to obtain vaccinations sooner compared to younger adults (Kitro et al. 2021). The lower vaccine acceptance rate poses a problem because it is insufficient to prevent disease transmission.

The Bangkok Metropolitan Area (BMA) is the place where COVID cases are increasing daily, with the coronavirus outbreak starting from boxing events and entertainment complexes and affecting young Thai adults, who are considered the vulnerable group (Rajatanavin et al. 2021). Moreover, outbreak in the second wave was far greater and more complex than in the first wave. Information regarding barriers to vaccine uptake among young adults living in this area is still unknown. This study aims to determine the COVID-19 vaccine hesitancy rate among a group of Thai undergraduate students and ascertain the predictors of the hesitancy.

Materials and methods

Study design and data collection

A cross-sectional study was conducted using Google Form with undergraduates in the BMA. The online self-administered survey was distributed in June–July 2021, amid the peak of Thailand’s third wave of COVID-19. At the time of data collection, a limited number of young people were taking the vaccine due to the vaccine allocation policy. This area (BMA) with high COVID cases was chosen to understand the COVID-19 vaccine perspectives of those who currently reside in the high-risk pandemic location. Despite the fact that the BMA is made up of six provinces, three (Nakhon Pathom, Pathum Thani and Nonthaburi) were targeted in order to maintain generalizability.

University administrative staff aided in distributing invitation emails to their university students via the survey link. The students had the right to decide whether or not to participate in the survey after reading the consent webpage introduction. No personal data were collected in order to maintain confidentiality and anonymity. The average time of survey completion was about 30 min (Figure 1).

Figure 1: 
Map of the Bangkok metropolitan area (BMA), with the starred provinces chosen as study areas.
Figure 1:

Map of the Bangkok metropolitan area (BMA), with the starred provinces chosen as study areas.

Population and sample size

A sample size with a 95% confidence interval (CI) was estimated based on an expected COVID-19 vaccine hesitancy rate of 31.3% among the general Thai population, as reported from an online poll conducted by Bangkok University (Bangkok Post 2021b). An additional 10% was added to cover any rejections. Hence, the recruiters sent out emails to as many students as possible to fulfil the required 369 participants. Eligibility criteria included being age 18 years or older, not yet vaccinated against COVID-19, currently enrolled in one of the universities located in the BMA and willing to participate in the study. Undergraduates with vision disabilities were not included.

Measures

The instrument used was adapted from the Oxford Coronavirus Explanations, Attitudes, and Narratives Survey (OCEANS II) conducted in September–October 2020 among UK adults (Freeman et al. 2020); it was translated by one Thai and two foreign health professionals in order to ensure accuracy and validity with the original content in the local context. Cronbach’s alpha was 0.705–0.931. The contents were reviewed and revised for more clarification and to enhance comprehension after pretesting. The questionnaires in this study measured the following.

COVID-19 vaccine hesitancy

This was assessed via the summation of scorings from six statements adopted from the Oxford COVID-19 vaccine hesitancy scale. Examples included: “If my family or friends were thinking of COVID-19 vaccination, I would…” and “If the vaccine is available in my local health center, I would…”. Each statement had five item-specific response options and participants were grouped into those willing to accept the vaccine (total scores of 6–16) and those hesitant to receive the vaccine (total scores of 17–30). The introductory part included the sociodemographic data collected (e.g. age, education level, enrolled university’s province, current travel status and experiences with COVID-19) and self-rating on their adherence to COVID-19 guidelines by the Thailand government (six items scored on a five-point Likert scale).

Attitudes and beliefs

Participants’ beliefs about COVID-19 vaccines (nine items, with five item-specific response options) were measured using the Oxford COVID-19 vaccine confidence and complacency scale. Another assessment was adapted from the Oxford Trust in Doctors and Developers Questionnaire to analyse participants’ attitudes toward health providers, vaccine developers and medicine (12 items, five-point Likert scale). The OCEANS II coronavirus conspiracy scale was used to determine how the participants perceived coronavirus conspiracy beliefs (six items, five-point Likert scale). Lastly, participants rated their views about general vaccine conspiracy beliefs (four items, five-point Likert scale) using a scale adapted from the Oxford vaccine conspiracy beliefs scale. Total scores were added for each assessment to categorize into three groups: positive, neutral and negative.

Ethical considerations

This study was approved by the university Independent Review Board (COA: 2021/064.3105). Participants were informed on the introduction page of the survey that participation in the survey was voluntary, with consent being implied upon survey completion.

Statistical analysis

IBM Statistical Package for the Social Sciences (SPSS) Version 27.0 was used for analysis. Descriptive statistical analysis, in terms of percentages, means and standard deviations, was carried out to illustrate the sociodemographic characteristics of the participants and to determine the prevalence for vaccine hesitancy and belief in the vaccine.

Associations and predictions for factors behind COVID-19 vaccine hesitancy were performed using analytical statistics: chi-square test of independence, binary logistic regression and multivariable logistic regression. A p value of <0.05 was considered to be statistically significant. For multivariable models, variables with p<0.25 were selected for the binary logistic regression results. Adjusted odds ratios (and 95% CI) were reported accordingly for determining associations between independent factors and vaccine hesitancy. The final model was adjusted by age and gender.

Results

Sociodemographic characteristics

A total of 542 Thai undergraduate students completed the online surveys. A brief description of the participants’ characteristics is displayed in Table 1. The sample contained a majority of female students (79.5%) who were aged 17–26 years (mean=19.79, SD=1.61). Most of the students were in Year 2 (41.0%), learning non-health-related courses (55.7%) and from Pathum Thani province (97.4%). Most participants also had to attend their classes fully online (48.2%) and hence rated themselves to be at low risk (64.0%) of contracting COVID-19 (Table 1).

Table 1:

Characteristics of the participants (n=542).

Participant characteristics n (%)
Gender
Female 431 (79.5)
Age, years
Range 17–26
Mean (SD) 19.79 (1.61)
University education level
Year 1 163 (30.1)
Year 2 222 (41.0)
Year 3 76 (14.0)
Year 4 81 (14.9)
Study course
Health-related 240 (44.3)
Non-health-related 302 (55.7)
Study mode
Full-time online 261 (48.2)
Part-time online 227 (41.9)
On site 54 (10.0)
Self-rated COVID-19 risk
Low 347 (64.0)
Medium 171 (31.5)
High 24 (4.4)

Percentage vaccine hesitancy

During the data collection period (June–July 2022), the daily incidence rate of COVID-19 increased sharply in Thailand, which was similar to the trend of new daily death cases from COVID-19. Our results identified that 217 of the 542 participants were classified as hesitant to receive COVID-19 vaccination, with the point prevalence of COVID-19 vaccine hesitancy being 40% (95% CI: 36–44%). Despite the fact that 46.3% of participants positively believed in COVID-19 vaccines, 6.1% did not believe in the effectiveness of the vaccines. Only 21.6% of participants were reported to be strictly abiding by all the stated local COVID-19 prevention guidelines. Moreover, only 28.0% of undergraduates had a positive view of health providers, vaccine developers and medicine whereas 40.0% viewed them negatively. Furthermore, 41.0% and 32.7% of undergraduates believed in false information about general vaccines and coronavirus, respectively (Table 2).

Table 2:

Vaccine hesitancy and beliefs.

Variables Number Percentage
Vaccine hesitancy
 Hesitant 217 40.0
 Willing 325 60.0
Beliefs towards COVID-19 vaccine
 Negative 33 6.1
 Neutral 258 47.6
 Positive 251 46.3
 (Mean=23.41, SD=4.80, Min=13, Max=41)
Adherence to national guidelines
 Good 117 21.6
 Poor 425 78.4
 (Mean=9.44, SD=3.01, Min=6, Max=24)
Attitudes towards health providers, vaccine developers and medicine
 Negative 217 40.0
 Neutral 173 31.9
 Positive 152 28.0
 (Mean=28.90, SD=5.54, Min=13, Max=42)
Coronavirus conspiracy beliefs
 Negative 114 21.0
 Neutral 220 40.6
 Positive 208 38.4
 (Mean=15.88, SD=4.58, Min=6, Max=30)
General vaccine conspiracy beliefs
 Negative 143 26.4
 Neutral 177 32.7
 Positive 222 41.0
 (Mean=11.42, SD=2.82, Min=4, Max=20)

Predictors of vaccine hesitancy

Significant associations were found between two sociodemographic characteristics (university education level and faculty type) and COVID-19 vaccine hesitancy among the undergraduates. In addition, beliefs towards the COVID-19 vaccine, attitudes towards health providers, vaccine developers and medicine and general vaccine conspiracy beliefs were reported as having a significant association with COVID-19 vaccine hesitancy in bivariate analysis.

Multivariate logistic regression with the backward method identified five predictors of vaccine hesitancy in the final model: being age 20–26 years; studying in Year 2 or higher; holding negative beliefs towards the COVID-19 vaccine, health provider, vaccine developer and medicine; and believing in the false information. Those attending Year 2 and higher were twice (AOR: 2.73; 95% CI: 1.55–4.84, AOR: 2.59; 95% CI: 1.71–5.75) as likely to be COVID-19 vaccine hesitant compared to participants in Year 1. Participants with neutral–negative views on COVID-19 vaccines were 11 times more likely to be hesitant to receive the vaccines compared to those with positive views (AOR: 10.99; 95% CI: 6.82–17.73). Regarding general vaccine conspiracy beliefs, 111/542 (50.0%) undergraduates who believed in the false information were vaccine hesitant compared with 27/542 (18.9%) who did not believe in false information (AOR: 1.90; 95% CI: 1.02–3.52) (Table 3).

Table 3:

Multivariate logistic regression results for vaccine hesitancy.

Independent variables Vaccine hesitancy
Full model Final model
AOR (95% CI) p-Value AOR (95% CI) p-Value
Gender (Ref: Male)
 Female 0.96 (0.56–1.67) 0.907 N.E.
Age (Ref: Age 17–19)
 20–26 years 0.58 (0.31–1.08) 0.089 0.58 (0.31–1.07) 0.084
University education level (Ref: Year 1)
Year 2 2.67 (1.48–4.32) 0.001 2.73 (1.55–4.84) <0.001
Year 3–4 2.55 (1.12–5.79) 0.024 2.59 (1.71–5.75) 0.019
Faculty type (Ref: Health-related)
Non-health-related 1.13 (0.71–1.08) 0.591 N.E.
Beliefs towards COVID-19 vaccine (Ref: Positive)
Neutral–Negative 10.99 (6.72–17.88) <0.001 10.99 (6.82–17.73) <0.001
Adherence to national guidelines (Ref: Good)
Poor 0.87 (0.51–4.48) 0.626 N.E.
Attitudes towards health providers, vaccine
developers and medicine (Ref: Positive)
Neutral 1.55 (0.83–2.91) 0.168 1.56 (0.85–2.88) 0.149
Negative 0.84 (0.45–1.55) 0.583 0.87 (0.47–1.59) 0.654
Coronavirus conspiracy beliefs (Ref: Positive)
Neutral 1.92 (0.97–3.79) 0.059 N.E.
Negative 2.25 (1.14–4.43) 0.019
General vaccine conspiracy beliefs (Ref: Negative)
Neutral 0.63 (0.33–1.19) 0.160 1.64 (0.86–3.12) 0.127
Positive 0.63 (0.32–1.12) 0.169 1.90 (1.02–3.52) 0.041
  1. The full model includes all significant variables by binary logistic regression; the final model includes significant variables by the backward logistic regression method (Hosmer Lemeshow test=11.62, p=0.169); Ref., reference group; N.E., not in the equation for the final model; AOR, adjusted odds ratio; CI, confidence interval.

Discussion

To the best of our knowledge, this study was one of the first to examine attitudes toward COVID-19 vaccines among undergraduate students enrolled in universities located in the BMA. Thailand distributed the first dose of the COVID-19 vaccine on 16 March 2021 during the first phase, with the priority for individuals working in healthcare, followed by people with chronic diseases and older persons. According to the vaccine allocation plan, during the period of data collection in this study (June–July 2021), university students were not categorized as a priority group.

Amid the local third wave of COVID-19, approximately 40% COVID-19 vaccine hesitancy was found, similar to results found in US university students (Kecojevic et al. 2021; Sharma, Davis, and Wilkerson 2021). Among the participants, anti-vaccination was declared by 4.6%, with some considering it not important to receive the COVID-19 vaccines (2.6%). However, it should be noted that the hesitancy rate is dependent on time, population and COVID-19 severity in the study area, as portrayed in several research studies with the same sample group at different timeframes (Caserotti et al. 2021; Williams et al. 2021). A recent poll also noticed a slight increase in the COVID-19 vaccine hesitancy rate among the general Thai population (Bangkok Post 2021c), with reasons for hesitancy ranging from safety to effectiveness of the vaccine, rather than the basic demographic characteristics such as gender (Bangkok Post 2021c; Wipatayotin 2021). Despite the fact that this study included only those who had not received vaccination against COVID-19, a previous local study also revealed that compared to foreigners in Thailand, the locals had lower vaccine acceptance unless otherwise recommended by employers or health providers (Kitro et al. 2021).

A significant association was found between COVID-19 vaccine hesitancy and education level. As a comparison, Year 2 students or higher were more hesitant towards COVID-19 compared to Year 1 students. One of the probable reasons could be that students in Year 1 started their education though the online system with less interaction with friends, so if they got the vaccine they could have some social interaction. On the other hand, the students in Year 2 and higher attained more knowledge during their school year, which might cause them to weigh up the benefits and side-effects before receiving the vaccine. Thus, at the period of data collection they might be unsure of the effectiveness of the COVID-19 vaccine. This similarity was found among New Jersey college students, who were attending their junior school were willing to take the COVID vaccines (Kecojevic et al. 2021).

Our study found a significant association between enrolled course type and vaccine hesitancy, with those on non-health-related courses (47.5%) being more vaccine hesitant than those taking health courses. Similar results were found among university students in Jordan and China (Bai et al. 2021; Sallam et al. 2021). Those who are already exposed to health information may have a better understanding of the onset of coronavirus and its prevention strategies, specifically vaccinations. However, this prediction was not found to be significant in the multivariate model due to the fact that there could be a vaccine-hesitant group among those students on health-related courses (32.9%). Several studies reported that medical and nursing students had COVID-19 vaccine hesitancy (Alshehry et al. 2022; Kanyike et al. 2021; Saied et al. 2021).

Importantly, beliefs about COVID-19 vaccines played a role in vaccine hesitancy among Thai undergraduates: 64.6% of undergraduates were reluctant to vaccinate due to their negative views on the COVID-19 vaccine, which is identical to the result found in another study (Troiano and Nardi 2021). These young undergraduates might have doubts about the side-effects of a novel COVID-19 vaccine that has been studied for less than a year (Hershan 2021; Saied et al. 2021), hence there was a remarkably high percentage (88.9%) of participants who agreed with the following statement: “taking a new COVID-19 vaccine will make me feel like a guinea pig”. The reports of mild side-effects after receiving the COVID-19 vaccine in younger female Thai populations could potentially influence vaccine hesitancy (Watcharananan et al. 2022), therefore trust needs to be promoted to install a positive attitude towards COVID-19 in order to increase vaccine uptake (Kalam et al. 2021).

Perceptions towards healthcare providers, vaccine developers and medicine were identified to be associated with hesitancy among the undergraduates. Those who viewed these healthcare services as negative (57.6%) were more COVID-19 vaccine hesitant than those who viewed them as positive (22.4%). As healthcare providers’ recommendations were proven to increase people’s willingness to get vaccinated against the COVID-19 virus, it is important that vaccine recipients have trust and respect for the healthcare system and vaccine producers (Al-Mistarehi et al. 2021; Kitro et al. 2021; Wong et al. 2021). Community vaccine collaboratives also emphasized that instead of solving the “vaccine mistrust” problem, it is necessary to “promote trustworthiness” of the health system, which includes the health providers and researchers behind the COVID-19 vaccines (Kitro et al. 2021; Scott et al. 2021). Therefore, Thai healthcare service providers need to refocus on their credibility and reliability in order to persuade more undergraduates to get vaccinated.

The more individuals believe in conspiracy, the more likely they are to be COVID-19 vaccine hesitant (Murphy et al. 2021; Watcharananan et al. 2022). In this study, undergraduates who believed false information about the spread of the virus (50%) were more likely to be vaccine hesitant, similar to UK adults (Freeman et al. 2020). As rumours and false information about the spread of the virus continue to exist, it is necessary to inform undergraduates with verifiable facts in order to enhance their understanding of vaccines (Islam et al. 2021).

Further research is highly recommended with larger sample sizes and diverse characteristics to explore further associations. Hesitancy rates of other age groups should be investigated for representativeness of the population. However, Thai public health units could utilize the findings of this research for vaccine awareness campaigns to prevent the spread of infection and control the COVID-19 pandemic.

Conclusions

Hesitancy towards the COVID-19 vaccine among undergraduate students posed a significant challenge to achieving herd immunity and preventing the spread of infection in Thailand. A COVID-19 immunization campaign focusing on its safety, benefits and effectiveness should be implemented through various effective media sources. In addition, conspiracy beliefs about vaccines should be eradicated with true information, and both positivity and transparency should be used in promoting COVID-19 vaccines.


Corresponding author: Orapin Laosee, Ph D, ASEAN Institute for Heath Development, Mahidol University, Nakorn Pathom, Thailand, E-mail:

Author note: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. This research is partially supported by the Faculty of Graduate Studies and Graduate Studies of Mahidol University Alumni Association. The authors are grateful for the support received from the ASEAN Institute for Health Development, Mahidol University, Nakon Pathom, Thailand.


Acknowledgments

Not applicable.

  1. Research funding: This research is partially supported by the Faculty of Graduate Studies and Graduate Studies of Mahidol University Alumni Association.

  2. Author contribution: Conceptualization: SML, CR, OL. Data collection: AM, WO, NS. Formal analysis: SML, OL, MNA. Writing-original draft: SML. Writing-review & editing: OL, CR, MNA. All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: Authors state no conflict of interest.

  4. Informed consent: Informed consent was obtained from all individuals included in this study.

  5. Ethical approval: This study was approved by the Mahidol University Social Science Independent Review Board (MUSSIRB; Approval Number 2021/064.3105).

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Received: 2022-02-26
Revised: 2022-08-02
Accepted: 2022-08-04
Published Online: 2022-08-24

© 2022 Walter de Gruyter GmbH, Berlin/Boston

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