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Behavioural response to the Covid-19 pandemic in South Africa

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  • Umakrishnan Kollamparambil
  • Adeola Oyenubi

Abstract

Background: Given the economic and social divide that exists in South Africa, it is critical to manage the health response of its residents to the Covid-19 pandemic within the different socio-economic contexts that define the lived realities of individuals. Objective: The objective of this study is to analyse the Covid-19 preventive behaviour and the socio-economic drivers behind the health-response behaviour. Data: The study employs data from waves 1 and 2 of South Africa’s nationally representative National Income Dynamics Study (NIDS)—Coronavirus Rapid Mobile Survey (CRAM). The nationally representative panel data has a sample of 7073 individuals in Wave 1 and 5676 individuals in Wave 2. Methods: The study uses bivariate statistics, concentration indices and multivariate estimation techniques, ranging from a probit, control-function approach, special-regressor method and seemingly unrelated regression to account for endogeneity while identifying the drivers of the response behaviour. Findings: The findings indicate enhanced behavioural responsiveness to Covid-19. Preventive behaviour is evolving over time; the use of face mask has overtaken handwashing as the most utilised preventive measure. Other measures, like social distancing, avoiding close contact, avoiding big groups and staying at home, have declined between the two periods of the study. There is increased risk perception with significant concentration among the higher income groups, the educated and older respondents. Our findings validate the health-belief model, with perceived risk, self-efficacy, perceived awareness and barriers to preventive strategy adoption identified as significant drivers of health-response behaviour. Measures such as social distancing, avoiding close contact, and the use of sanitisers are practised more by the rich and educated, but not by the low-income respondents. Conclusion: The respondents from lower socio-economic backgrounds are associated with optimism bias and face barriers to the adoption of preventive strategies. This requires targeted policy attention in order to make response behaviour effective.

Suggested Citation

  • Umakrishnan Kollamparambil & Adeola Oyenubi, 2021. "Behavioural response to the Covid-19 pandemic in South Africa," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-19, April.
    • Handle: RePEc:plo:pone00:0250269
    DOI: 10.1371/journal.pone.0250269
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    References listed on IDEAS

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    1. Geeta Gandhi Kingdon & John Knight, 2004. "Race and the Incidence of Unemployment in South Africa," Review of Development Economics, Wiley Blackwell, vol. 8(2), pages 198-222, May.
    2. Ronak Jain & Joshua Budlender & Rocco Zizzamia & Ihsaan Bassier, 2020. "The labor market and poverty impacts of COVID-19 in South Africa," CSAE Working Paper Series 2020-14, Centre for the Study of African Economies, University of Oxford.
    3. Gabrielle Wills & Servaas van der Berg & Leila Patel & Bokang Mpeta, 2020. "Household resource flows and food poverty during South Africa’s lockdown: Short-term policy implications for three channels of social protection," Working Papers 22/2020, Stellenbosch University, Department of Economics.
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    2. Natascha Mojtahedzadeh & Felix Alexander Neumann & Elisabeth Rohwer & Albert Nienhaus & Matthias Augustin & Volker Harth & Birgit-Christiane Zyriax & Stefanie Mache, 2021. "The Health Behaviour of German Outpatient Caregivers in Relation to the COVID-19 Pandemic: A Mixed-Methods Study," IJERPH, MDPI, vol. 18(15), pages 1-30, August.
    3. Elisabeth Rohwer & Natascha Mojtahedzadeh & Felix Alexander Neumann & Albert Nienhaus & Matthias Augustin & Volker Harth & Birgit-Christiane Zyriax & Stefanie Mache, 2021. "The Role of Health Literacy among Outpatient Caregivers during the COVID-19 Pandemic," IJERPH, MDPI, vol. 18(22), pages 1-25, November.

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