Vaccine hesitancy toward the COVID-19 vaccine among the Malaysian population
DOI:
https://doi.org/10.18006/2022.10(3).544.553Keywords:
COVID-19, Vaccine hesitancy, Malaysian populationAbstract
COVID-19 is a potentially fatal infectious disease that requires effective vaccines to keep the outbreak under control. Despite the ongoing efforts for an effective vaccine, public hesitancy towards vaccines is now one of the main concerns to the global health in containing this global pandemic. Thus, this preliminary study was carried out to assess the degree of COVID-19 vaccine hesitancy among the general public in Malaysia and to identify the underlying reasons for their hesitancy by using 5C psychological antecedents of vaccination. This study was conducted by carrying out a cross-sectional online survey for approximately two months between January to February 2021, involving 385 participants. The survey contained questions based on the 5C model proffered by WHO. The data from the survey were analyzed using Smart PLS 3 for statistical analysis, with the partial least squares structural equation modeling (PLS-SEM). According to the findings, only 62.5 percent out of the 385 participants had planned to get the COVID-19 vaccine, while the remaining 37.5 percent did not. The results also showed that confidence, calculation, collective responsibility, and constraints had a significant influence on vaccine hesitancy but not complacency. There is a degree of vaccine hesitancy towards the COVID-19 vaccines among the Malaysian population, although the data that we have obtained cannot be used to generalize for the entire Malaysian population due to the small sample size. Thus, for the vaccination campaign to be more effective, it should focus more on addressing the issue relating to confidence, calculation, collective responsibility, and constraints and less on complacency.
References
Benitez, J., Henseler, J., Castillo, A., & Schuberth, F. (2020). How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research. Information & Management, 57(2), 103168. https://doi.org/10.1016/j.im.2019.05.003 DOI: https://doi.org/10.1016/j.im.2019.05.003
Betsch, C., Schmid, P., Heinemeier, D., et al. (2018). Beyond confidence: development of a measure assessing the 5C psychological antecedents of vaccination. PLOS ONE, 7. https://doi.org/10.1371/journal.pone.0208601 DOI: https://doi.org/10.31234/osf.io/ytb7w
Centers for Disease Control and Prevention. (CDC). Symptoms of Coronavirus (2020). Retrieved from https://www.cdc.gov/ coronavirus/2019-ncov/symptoms-testing/symptoms.html.
Cook, D.A., & Beckman, T.J. (2006). Current concepts in validity and reliability for psychometric instruments: theory and application. The American Journal of Medicine, 119(2), 166.e7-16. DOI:10.1016/j.amjmed.2005.10.036. DOI: https://doi.org/10.1016/j.amjmed.2005.10.036
COVIDNOW. (2021). COVIDNOW in Malaysia. Retrieved from https://covidnow.moh.gov.my/
Coronavirus (COVID-19) vaccinations. (2021). Research and Statistics. Retrieved from https://ourworldindata.org/covid-vaccinations?country=OWID_WRL
Dror, A.A., Eisenbach, N., Taiber, S., Morozov, N.G., et al. (2020). Vaccine hesitancy: The next challenge in the fight against COVID-19. European Journal of Epidemiology, 35, 775–779. https://doi.org/10.1007/s10654-020-00671-y DOI: https://doi.org/10.1007/s10654-020-00671-y
Fornell, C., & Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1): 39-50. DOI: https://doi.org/10.1177/002224378101800104
Ipsos. (2021). Global attitudes: COVID-19 vaccines. Ipsos. Retrieved from https://www.ipsos.com/en-ro/global-attitudes-covid-19-vaccine-january-2021.
Kwok, K. O., Li, K. K., Wei, W. I., Tang, A., Wong, S., & Lee, S. S. (2021). Editor's Choice: Influenza vaccine uptake, COVID-19 vaccination intention and vaccine hesitancy among nurses: A survey. International Journal of Nursing Studies, 114, 103854. https://doi.org/10.1016/j.ijnurstu.2020.103854 DOI: https://doi.org/10.1016/j.ijnurstu.2020.103854
Larson, H. J., de Figueiredo, A., Xiahong, Z., Schulz, W. S., et al. (2016). The State of Vaccine Confidence 2016: Global Insights Through a 67-Country Survey. EBioMedicine, 12, 295–301. https://doi.org/10.1016/j.ebiom.2016.08.042 DOI: https://doi.org/10.1016/j.ebiom.2016.08.042
MacDonald, N. E., & SAGE Working Group on Vaccine Hesitancy (2015). Vaccine hesitancy: Definition, scope and determinants. Vaccine, 33(34), 4161–4164. https://doi.org/10.1016/ j.vaccine.2015.04.036. DOI: https://doi.org/10.1016/j.vaccine.2015.04.036
McDermott, A. (2021). Herd immunity is an important and often misunderstood phenomenon. Proceedings of the National Academy of Sciences of the United States of America 118 (21) e2107692118. https://doi.org/10.1073/pnas.2107692118. DOI: https://doi.org/10.1073/pnas.2107692118
Puri, N., Coomes, E.A., Haghbayan, H., & Gunaratne, K. (2020). Social media and vaccine hesitancy: new updates for the era of COVID-19 and globalized infectious diseases. Human Vaccines Immunotherapeutics, 16(11): 2586-2593. DOI: 10.1080/ 21645515.2020.1780846 DOI: https://doi.org/10.1080/21645515.2020.1780846
Ringle, C.M., & Sarstedt, M. (2016). Gain more insight from your PLS-SEM results: The importance-performance map analysis. Industrial Management & Data Systems, 116(9), 1865-1886. https://doi.org/10.1108/IMDS-10-2015-0449 DOI: https://doi.org/10.1108/IMDS-10-2015-0449
TheStar. (2021). HTAR sees possible anti-vax influence in current COVID-19 hospitalizations, deaths. Retrieved from https://www.thestar.com.my/news/nation/2021/09/22/ htar-sees-possible-anti-vax-influence-in-current-covid-19-hospitalisations-deaths.
Scobie, H.M., Johnson, A.G., Suthar, A.B., Severson, R., et al. (2021). Monitoring incidence of COVID-19 cases, hospitalizations and deaths by vaccination status – 13 U.S. jurisdictions, April 4-July 17, 2021. Morbidity and Mortality Weekly Report, 70,1284-1290. DOI:http://dx.doi.org/10.15585/mmwr.mm7037e1. DOI: https://doi.org/10.15585/mmwr.mm7037e1
Wan Mohd Yunus, W., Badri, S., Panatik, S. A., & Mukhtar, F. (2021). The Unprecedented Movement Control Order (Lockdown) and Factors Associated With the Negative Emotional Symptoms, Happiness, and Work-Life Balance of Malaysian University Students During the Coronavirus Disease (COVID-19) Pandemic. Frontiers in psychiatry, 11, 566221. https://doi.org/10.3389/ fpsyt.2020.566221. DOI: https://doi.org/10.3389/fpsyt.2020.566221
World Health Organization. (2019). Ten health issues WHO will tackle this year. Retrieved from https://www.who.int/news-room/spotlight/ten-threats-to-global-health-in-2019.
World Health Organization. (2020). WHO Director-General's opening remarks at the media briefing on COVID-19-11 March
, World Health Organization - 2020 - Geneva, Switzerland. Retrieved from https://www.who.int/director-general/speeches/ detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020.
World Health Organization. (2021). WHO Coronavirus disease dashboard. Retrieved from https://covid19.who.int/
Wong, L. P., Alias, H., Wong, P. F., Lee, H. Y., & AbuBakar, S. (2020). The use of the health belief model to assess predictors of intent to receive the COVID-19 vaccine and willingness to pay. Human Vaccines & Immunotherapeutics, 16(9), 2204–2214. https://doi.org/10.1080/21645515.2020.1790279. DOI: https://doi.org/10.1080/21645515.2020.1790279
Zhang, Y., & Fisk, R. J. (2021). Barriers to vaccination for coronavirus disease 2019 (COVID-19) control: experience from the United States. Global health journal (Amsterdam, Netherlands), 5(1), 51–55. https://doi.org/10.1016/j.glohj.2021.02.005. DOI: https://doi.org/10.1016/j.glohj.2021.02.005
Downloads
Published
How to Cite
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.