Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Jul 3:4:e34598.
doi: 10.2196/34598. eCollection 2023.

The Impact of SARS-CoV-2 Lineages (Variants) and COVID-19 Vaccination on the COVID-19 Epidemic in South Africa: Regression Study

Affiliations

The Impact of SARS-CoV-2 Lineages (Variants) and COVID-19 Vaccination on the COVID-19 Epidemic in South Africa: Regression Study

Thabo Mabuka et al. JMIRx Med. .

Abstract

Background: Emerging SARS-CoV-2 variants have been attributed to the occurrence of secondary, tertiary, quaternary, and quinary COVID-19 epidemic waves threatening vaccine efforts owing to their immune invasiveness. Since the importation of SARS-CoV-2 in South Africa, with the first reported COVID-19 case on March 5, 2020, South Africa has observed 5 consecutive COVID-19 epidemic waves. The evolution of SARS-CoV-2 has played a major role in the resurgence of COVID-19 epidemic waves in South Africa and across the globe.

Objective: We aimed to conduct descriptive and inferential statistical analysis on South African COVID-19 epidemiological data to investigate the impact of SARS-CoV-2 lineages and COVID-19 vaccinations in South African COVID-19 epidemiology.

Methods: The general methodology involved the collation and stratification, covariance, regression analysis, normalization, and comparative inferential statistical analysis through null hypothesis testing (paired 2-tailed t tests) of South African COVID-19 epidemiological data.

Results: The mean daily positive COVID-19 tests in South Africa's first, second, third, fourth, and fifth COVID-19 epidemic wave periods were 11.5% (SD 8.58%), 11.5% (SD 8.45%), 13.3% (SD 9.72%), 13.1% (SD 9.91%), and 14.3% (SD 8.49%), respectively. The COVID-19 transmission rate in the first and second COVID-19 epidemic waves in South Africa was similar, while the COVID-19 transmission rate was higher in the third, fourth, and fifth COVID-19 epidemic waves than in the aforementioned waves. Most COVID-19 hospitalized cases in South Africa were in the general ward (60%-79.1%). Patients with COVID-19 on oxygen were the second-largest admission status (11.2%-16.8%), followed by patients with COVID-19 in the intensive care unit (8.07%-16.7%). Most patients hospitalized owing to COVID-19 in South Africa's first, second, third, and fourth COVID-19 epidemic waves were aged between 40 and 49 years (16.8%-20.4%) and 50 and 59 years (19.8%-25.3%). Patients admitted to the hospital owing to COVID-19 in the age groups of 0 to 19 years were relatively low (1.98%-4.59%). In general, COVID-19 hospital admissions in South Africa for the age groups between 0 and 29 years increased after each consecutive COVID-19 epidemic wave, while for age groups between 30 and 79 years, hospital admissions decreased. Most COVID-19 hospitalization deaths in South Africa in the first, second, third, fourth, and fifth COVID-19 epidemic waves were in the ages of 50 to 59 years (15.8%-24.8%), 60 to 69 years (15.9%-29.5%), and 70 to 79 years (16.6%-20.7%).

Conclusions: The relaxation of COVID-19 nonpharmaceutical intervention health policies in South Africa and the evolution of SARS-CoV-2 were associated with increased COVID-19 transmission and severity in the South African population. COVID-19 vaccination in South Africa was strongly associated with a decrease in COVID-19 hospitalization and severity in South Africa.

Keywords: COVID-19; SARS-CoV-2; South Africa; epidemiology; lineages; statistics; vaccines; variants.

PubMed Disclaimer

Conflict of interest statement

Conflicts of Interest: None declared.

Figures

Figure 1
Figure 1
Mean change in movement from baseline in retail and recreation, grocery and pharmacy, parks, transit stations, workplaces, and residences during the South African first, second, third, fourth, and fifth COVID-19 epidemic waves.
Figure 2
Figure 2
Mean daily number of COVID-19 vaccinated people per age group during the first, second, third, fourth, and fifth COVID-19 epidemic wave in South Africa.
Figure 3
Figure 3
The mean daily positive COVID-19 tests (with 95% CI error bars) in the first, second, third, fourth, and fifth COVID-19 epidemic wave period in South Africa.
Figure 4
Figure 4
The mean COVID-19 hospitalized-to-active cases (with 95% CI error bars) in the first, second, third, fourth, and fifth COVID-19 epidemic wave period in South Africa.
Figure 5
Figure 5
The mean COVID-19 hospitalized admission status (with 95% CI error bars) in the first, second, third, fourth, and fifth COVID-19 epidemic wave period in South Africa.
Figure 6
Figure 6
The mean COVID-19 hospitalized admission age profile (with 95% CI error bars) in the first, second, third, fourth, and fifth COVID-19 epidemic wave period in South Africa.
Figure 7
Figure 7
The mean COVID-19 hospitalized death age profile (with 95% CI error bars) in the first, second, third, fourth, and fifth COVID-19 epidemic wave period in South Africa.

Update of

  • JMIRx Med. 1:e34598.

Similar articles

Cited by

References

    1. Rolling updates on coronavirus disease (COVID-19) World Health Organization. 2020. [2020-06-22]. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/events-a... .
    1. Novel coronavirus (COVID-19) cases data. Humanitarian Data Exchange. [2022-08-18]. https://data.humdata.org/dataset/novel-coronavirus-2019-ncov-cases .
    1. Global Economic Prospects. Washington, DC: International Bank for Reconstruction and Development / The World Bank; 2021. Jun,
    1. Vaccine inequity undermining global economic recovery. World Health Organization. 2021. Jul 22, [2023-01-14]. https://www.who.int/news/item/22-07-2021-vaccine-inequity-undermining-gl... .
    1. Korber B, Fischer WM, Gnanakaran S, Yoon H, Theiler J, Abfalterer W, Hengartner N, Giorgi EE, Bhattacharya T, Foley B, Hastie KM, Parker MD, Partridge DG, Evans CM, Freeman TM, de Silva TI, Sheffield COVID-19 Genomics Group. McDanal C, Perez LG, Tang H, Moon-Walker A, Whelan SP, LaBranche CC, Saphire EO, Montefiori DC. Tracking changes in SARS-CoV-2 spike: evidence that D614G increases infectivity of the COVID-19 virus. Cell. 2020 Aug 20;182(4):812–27.e19. doi: 10.1016/j.cell.2020.06.043. https://linkinghub.elsevier.com/retrieve/pii/S0092-8674(20)30820-5 S0092-8674(20)30820-5 - DOI - PMC - PubMed