What drives the willingness to get vaccinated against COVID-19 in South Africa?

  • Yemi Adewoyin
  • Clifford O. Odimegwu University of the Witwatersrand, South Africa
Keywords: COVID-19, Risk beliefs, Health status, Case familiarity, Vaccine willingness, South Africa

Abstract

The willingness to get vaccinated in South Africa is among the highest in the world, measuring at 76%. This study investigated the impact of individual risk beliefs, self-reported health status, and familiarity with someone with coronavirus disease 2019 (COVID-19) on the willingness to get vaccinated in South Africa. Data were obtained from the Wave 5 of the South African National Income Dynamics Study – Coronavirus Rapid Mobile Survey. Data were analyzed using descriptive statistics and binary logistic regression. More than 53% of the population believed that they were not at risk of COVID-19; 71.8% believed that they were in good health; and 31.6% knew someone with COVID-19. Beliefs (odds ratio [OR]: 1.287), health status (OR: 1.064), and COVID-19 case familiarity (OR: 1.034) were associated with willingness to get vaccinated. Other associations remained positive in the adjusted model. The relationship between case familiarity and willingness to get vaccinated shows that knowing someone who died of COVID-19 or suffered from the discomfort induced by the disease may drive other individuals to get vaccinated.

References

Adewoyin, Y., & Odimegwu, C.O. (2022a). Population structure of Africa – spatiotemporal patterns and development linkages. In Odimegwu, C.O., & Adewoyin, Y. (eds). The Routledge Handbook of African Demography. New York: Taylor and Francis, p.14-30. https://doi.org/10.4324/9780429287213-3

Adewoyin, Y., & Odimegwu, C.O. (2022b). Gender relations and the utilization of contraceptives and antenatal care services in Kenya, Namibia and Nigeria. African Journal of Reproductive Health, 26(11):141-153. https://doi.org/10.29063/ajrh2022/v26i11.13

Adewoyin, Y., Chukwu, N.N.A., & Sanni, L.M. (2018). Urbanization, spatial distribution of healthcare facilities and inverse care in Ibadan, Nigeria. Ghana Journal of Geography, 10(2):96-111. https://doi.org/10.4314/gjg.v10i2.7

Adewoyin, Y., Odimegwu, C.O., Bassey, T.I., Awelewa, O.F., & Akintan, O. (2022). National and subnational variations in gender relations and the utilization of maternal healthcare services in Nigeria. Pan African Medical Journal, 42:28. https://doi.org/10.11604/pamj.2022.42.28.25689

Al-Jayyousi, G.F., Sherbash, M.A.M., Ali, L.A.M., El-Heneidy, A., Alhussaini, N.W.Z., Elhassan, M.E.A., et al. (2021). Factors influencing public attitudes towards COVID-19 vaccination: A scoping review informed by the socio-ecological model. Vaccines (Basel), 9(6):548. https://doi.org/10.3390/vaccines9060548

Arce, J.S.S., Warren, S.S., Meriggi, N.F., Scacco, A., McMurry, N., Voors, M., et al. (2021). COVID-19 vaccine acceptance and hesitancy in low-and middle-income countries. Nature Medicine, 27(8):1385-1394. https://doi.org/10.1038/s41591-021-01454-y

Banda, J., Dube, A.N., Brumfield, S., Amoah, A.S., Reniers, G., Crampin, A.C., et al. (2021). Knowledge, risk perceptions, and behaviors related to the COVID-19 pandemic in Malawi. Demographic Research, 44(20):459-480. https://doi.org/10.4054/DemRes.2021.44.20

Becker, M.H. (1974). The Health Belief Model and Personal Health Behavior. Thorofare, New Jersey: Slack.

Berihun, G., Walle, Z., Berhanu, L., & Teshome, D. (2021). Acceptance of Covid-19 vaccine and determinant factors among patients with chronic disease visiting Dessie comprehensive specialized hospital, Northeastern Ethiopia. Patient Preference and Adherence, 15:1795-1805. https://doi.org/10.2147/PPA.S324564

Center for Disease Control. (2021). Covid-19 and Your Health. https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-with-medical-conditions.html [Last accessed on 2022 Feb 06].

Center for Disease Control. (2022). Vaccines and Immunizations. https://www.cdc.gov/vaccines/vac-gen/imz-basics.htm [Last accessed on 2022 Feb 06].

Department of Health, South Africa. (2022). DoH. Available from: https://sacoronavirus.co.za [Last accessed on 2022 Feb 06].

El-Elimat, T., AbuAlSamen, M.M., Almomani, B.A., Al-Sawalha, N.A., & Alali, F.Q. (2021). Acceptance and attitudes toward COVID-19 vaccines: A cross-sectional study from Jordan. PLoS One, 16(4):e0250555. https://doi.org/10.1371/journal.pone.0250555

Ghebreyesus, T.A. (2021). Vaccine Nationalism Harms Everyone and Protects no One. Available from: https://foreignpolicy. com/2021/02/02/vaccine-nationalism-harms-everyone-and-protects-no-one/foreign policy [Last accessed on 2021 Feb 28].

Hart, J.T. (1971). The inverse care law. Lancet, 1(7696):405-412. https://doi.org/10.1016/s0140-6736(71)92410-x

Holzmann-Littig, C., Braunisch, M.C., Kranke, P., Popp, M., Seeber, C. Fichtner, F., et al. (2021). COVID-19 vaccination acceptance and hesitancy among healthcare workers in Germany. Vaccines (Basel), 9(7):777. https://doi.org/10.3390/vaccines9070777

Kim, S., & Kim, S. (2020). Analysis of the impact of health beliefs and resource factors on preventive behaviors against the COVID-19 pandemic. International Journal of Environmental Research and Public Health, 17(22):8666. https://doi.org/10.3390/ijerph17228666

Lindholt, M.F., Jørgensen, F., Bor, A., & Petersen, M.B. (2021). Public acceptance of COVID-19 vaccines: Cross-national evidence on levels and individual-level predictors using observational data. BMJ Open, 11(6):e048172. https://doi.org/10.1136/bmjopen-2020-048172

Lineberry, R.L. (1976). Equality, public policy and public services: The underclass hypothesis and the limits to equality. Policy and Politics, 4(2):67-84. https://doi.org/10.1332/030557376783186650

Makinde, O.A., Akinyemi, J.O., Ntoimo, L.F., Ajaero, C.K., Ononokpono, D., Banda, P.C., et al. (2021). Risk assessment for COVID-19 transmission at household level in sub- Saharan Africa: Evidence from DHS. Genus, 77(4):24. https://doi.org/10.1186/s41118-021-00130-w

Najjuka, S.M., Checkwech, G., Olum, R., Ashaba, S., & Kaggwa, M.M. (2021). Depression, anxiety, and stress among Ugandan university students during the COVID-19 lockdown: An online survey. African Health Sciences, 21(4):1533-1543. https://doi.org/10.4314/ahs.v21i4.6

Odimegwu, C.O., Adewoyin, Y., & Mutanda, N. (2020). Media communication programmes and HIV transmission risk behaviour among sexually active South African youths. African Journal of Reproductive Health, 24(3):126-134. https://doi.org/10.29063/ajrh2020/v24i3.14

Rogers, R.W. (1975). A protection motivation theory of fear appeals and attitude change1. Journal of Psychology, 91(1):93-114. https://doi.org/10.1080/00223980.1975.9915803

Rosenstock, I.M. (1966). Why people use health services. Milbank Memorial Fund Quarterly, 44(3):94-127.

Salali, G.D., & Uysal, M.S. (2021). Effective incentives for increasing COVID-19 vaccine uptake. Psychological Medicine, 53(7):3242-3244. https://doi.org/10.1017/S0033291721004013

Sallam, M. (2021). COVID-19 vaccine hesitancy worldwide: A concise systematic review of vaccine acceptance rates. Vaccines, 9(2):160. https://doi.org/10.3390/vaccines9020160

Sartorius, B., Veerman, L.J., Manyema, M., Chola, L., & Hofman, K. (2015). Determinants of obesity and associated population attributability, South Africa: Empirical evidence from a national panel survey, 2008-2012. PLoS One, 10(6):e0130218. https://doi.org/10.1371/journal.pone.0130218

Statistics South Africa. (2022). Key Findings: P0307-Marriages and Divorces, 2020.

United Nations Programme on HIV/AIDS. (2020). South Africa- Country Overview. Available from: https://www.unaids.org/ en/regionscountries/countries/southafrica [Last accessed on 2020 Apr 23].

Vukotic, M., Milosevic, Z., Bjelica, D., & Zarubca, M. (2021). Mental distress during the COVID-19 pandemic of female students adults without a pre-existing mental health condition. African Health Sciences, 21(4):1544-1545. https://doi.org/10.4314/ahs.v21i4.7

Wang, K., Wong, E.L.Y., Cheung, A.W.L., Yau, P.S.Y., Chung, V.C.H., Wong, C.H.L., et al. (2021). Influence of vaccination characteristics on Covid-19 vaccine acceptance among working-age people in Hong Kong, China: A discrete choice experiment. Frontiers in Public Health, 9:793533. https://doi.org/10.3389/fpubh.2021.793533

Witte, K., & Allen, M. (2000). A meta-analysis of fear appeals: Implications for effective public health campaigns. Health Education and Behavior, 27(5):591-615. https://doi.org/10.1177/109019810002700506

World Bank. (2017). National Income Dynamics Study (NIDS)- Coronavirus Rapid Mobile Survey (CRAM), Wave 5. South Africa, 2021. United States: The World Bank. https://doi.org/10.25828/awhe-t852

World Health Organization. (2022). Available from: https://www.covid19.who.int/region/emro/country [Last accessed on 2022 Feb 06].

World Health Organization. (2022a). Coronavirus (Covid-19) Dashboard. Available from: https://www.covid19.who.int [Last accessed on 2022 Feb 06].

World Health Organization. (2022b). Vaccines and Immuinization. Available from: https://www.who.int/ health-topics/vaccines-and-immunization#tab=tab_1 [Last accessed on 2022 Feb 06].

Published
2023-12-27