As of March 06, 2022, overall coronavirus (COVID-19) cases in South Africa reached its highest at 3,684,319 infections. It was also the largest volume of confirmed cases compared to other African countries. Regionally, Gauteng (Johannesburg) was hit hardest and registered 1,196,591 cases, whereas KwaZulu-Natal (Durban) and Western Cape (Cape Town) counted 653,945 and 642,153 coronavirus cases, respectively. In total 23,245,373 tests were conducted in the country. Total recoveries amounted to 3,560,217. On December 12, 2021, the highest daily increase in cases was recorded in South Africa.

Economic impact on businesses in South Africa

The coronavirus pandemic is not only causing a health crisis but influences the economy heavily as well. According to a survey on the financial impact of COVID-19 on various industries in South Africa, 89.6 percent of businesses indicated to see a turnover below the normal range. Mining and quarrying industry was hit hardest with nearly 95 percent of all companies seeing a decrease in turnover, whereas the largest share of businesses experiencing no economic impact are working within the real estate sector and other business services. As a response to the coronavirus, laying off workers in the short term was the most common workforce measure that businesses in South Africa implemented. 36.4 percent of businesses indicated to have laid of staff temporarily, and roughly 25 percent decreased the working hours. Approximately 20 percent of the surveyed companies, on the other hand, said no measures have been taken.

Business survivability without any revenue

Due to the measures taken by the government to prevent the coronavirus from spreading too fast, many businesses had to close its doors temporarily. However, if the coronavirus would leave them without any form of revenue for up to three months, eight out of ten businesses in South Africa predicted (in April 2020) they will go bankrupt. Just 6.7 percent said to survive for longer than three months without any turnover.

As of November 16, 2020, a total of 17.577 COVID-19 related casualties were registered in South Africa. Some 14.1 percent of the deaths fell within the age group of 60 to 64 years with, whereas 12.6 percent of whom were aged 55 to 59 passed away due to the diseases caused by the coronavirus. Confirmed coronavirus cases per region in South Africa illustrated Gauteng was hit hardest. As of January 15, 2021, the region with Johannesburg as its capital registered 350,976 individuals with COVID-19 , whereas KwaZulu-Natal and Western Cape had dealt with less cases.

South Africa recorded 102595 Coronavirus Deaths since the epidemic began, according to the World Health Organization (WHO). In addition, South Africa reported 4072533 Coronavirus Cases. This dataset includes a chart with historical data for South Africa Coronavirus Deaths.

COVID 19 Data for South Africa created, maintained and hosted by DSFSI research group at the University of Pretoria

Disclaimer: We have worked to keep the data as accurate as possible. We collate the COVID 19 reporting data from NICD and South Africa DoH. We only update that data once there is an official report or statement. For the other data, we work to keep the data as accurate as possible. If you find errors let us know.

See original GitHub repo for detailed information https://github.com/dsfsi/covid19za

Coronavirus COVID-19 (2019-nCoV) Data Repository for South Africa created, maintained and hosted by Data Science for Social Impact research group, led by Dr. Vukosi Marivate, at the University of Pretoria. Disclaimer: The maintainers have worked to keep the data as accurate as possible. The COVID 19 reporting data has been collated from NICD and DoH and is only updated once there is an official report or statement. If you use this repo for any research/development/innovation, please contact the maintainers of the data. Please note that these reports are the daily reports as released by the National Department of Health or the NICD. The new cases reported are based on new positive test reports released. However, there may be a significant lag from when the patient was tested. As an example, in epidemiological Week 1 of 2021 (3-9 Jan) approximately 33k new cases were reported on the daily announcement. However, the NICD Testing Summary Report for Week 3 of 2021 (which also reports the two previous weeks) shows that the number of positive tests was 43635 for Week 1 of 2021. The difference is due to the lag in testing being done -- some of the 33k cases reported on the daily announcements were actually from prior weeks while a large number of people were tested between 3-9 January, but the cases were only reported from the 10th onwards. Care needs to be taken in doing some analyses to take this into account.

Abstract

The COVID-19 Vaccine Survey (CVACS) is a South African national panel study of individuals initially unvaccinated against COVID-19. CVACS is implemented by the Southern Africa Labour and Development Research Unit (SALDRU) based at the University of Cape Town. The same respondents are interviewed twice, a few months apart, in 2021 and then 2022, to gather information about their attitudes, beliefs and intentions regarding COVID-19 vaccination. The purpose of CVACS is to collect high quality, timely, and relevant information on facilitators and barriers to COVID-19 vaccine uptake - including vaccine hesitancy and access constraints - to contribute to the development of data-driven campaigns and programmes to increase COVID-19 vaccination uptake in South Africa.

Geographic coverage

CVACS was not designed to be, and should not be used as a prevalence study. The data cannot be considered to be nationally representative of all unvaccinated individuals in South Africa.

Analysis unit

Households and individuals

Kind of data

Sample survey data [ssd]

Mode of data collection

Computer Assisted Telephone Interview [cati]

Research instrument

A single survey instrument was administered for CVACS Survey 1 using computer-assisted telephone interviews (CATI). The CVACS questionnaire was translated into all South African languages and interviews were conducted in the preferred language of the respondent. The realized Survey 1 sample consisted of 3510 individual interviews, all of whom self-reported that they were unvaccinated for COVID-19. Most of the survey questions collected individual-level data, with some household level data also collected through the individual questionnaire.

As of November 18, 2022, the overall deaths due to coronavirus (COVID-19) in Africa reached 257,984. South Africa recorded the highest number of casualties. With over 100,000 deaths, the country accounted for roughly 40 percent of the total. Tunisia was the second most affected on the continent, as the virus made almost 30,000 victims in the nation, around 11 percent of the overall deaths in Africa. Egypt accounted for around 10 percent of the casualties on the continent, with 24,600 victims. By the same date, Africa had recorded more than 12 million cases of COVID-19.

In past 24 hours, South Africa, Africa had N/A new cases, N/A deaths and N/A recoveries.

This data set was created with a snapshot of data from the Coronavirus COVID-19 (2019-nCoV) Data Repository for South Africa which is created, maintained, and hosted by the Data Science for Social Impact research group, led by Dr. Vukosi Marivate, at the University of Pretoria. These subsets are visualized on the Africa Data Hub Wazimap Portal Disclaimer: The maintainers have worked to keep the data as accurate as possible. The COVID 19 reporting data has been collated from NICD and DoH and is only updated once there is an official report or statement. If you use this repo for any research/development/innovation, please contact the maintainers of the data. Please note that these reports are the daily reports as released by the National Department of Health or the NICD. The new cases reported are based on new positive test reports released. However, there may be a significant lag from when the patient was tested. As an example, in epidemiological Week 1 of 2021 (3-9 Jan) approximately 33k new cases were reported on the daily announcement. However, the NICD Testing Summary Report for Week 3 of 2021 (which also reports the two previous weeks) shows that the number of positive tests was 43635 for Week 1 of 2021. The difference is due to the lag in testing being done -- some of the 33k cases reported on the daily announcements were actually from prior weeks while a large number of people were tested between 3-9 January, but the cases were only reported from the 10th onwards. Care needs to be taken in doing some analyses to take this into account.

Identifying changes in the reproduction number, rate of spread, and doubling time during the course of the COVID-19 outbreak whilst accounting for potential biases due to delays in case reporting both nationally and subnationally in South Africa. These results are impacted by changes in testing effort, increases and decreases in testing effort will increase and decrease reproduction number estimates respectively.

Clinical data from patients hospitalised with COVID19 in South Africa, shared as a part of the ISARIC Clinical Characterisation Group collaboration.

Records of reported Counts of COVID-19 case counts in South Africa from 2020-2021. Download is a zipped CSV file with readme.

This is a repository for COVID-19 in South Africa containing datasets on testing, cases, recoveries, deaths, transmission types, and hospital surveillance data.

On March 6, 2021, confirmed cases of coronavirus COVID-19 on a single day in South Africa amounted to 8,078. Total cases reached 3,684,319, which is the highest number of confirmed cases compared to other African countries. As of the same date, there were 99,543 casualties and 3,560,217 recoveries in the country.

The most affected country in the continent

Since the outbreak of the COVID-19 pandemic in the continent, starting in Egypt on February 14, 2020, South Africa has been harshly affected, quickly becoming the worst-hit country in Africa. Gauteng, the province with Johannesburg as its capital, was the most affected regionally with over 1.2 million cases as of early March, 2022. As well as its health effects, the pandemic had a strong impact on businesses with nine out of ten businesses operating in different industries claiming that the turnover was below the normal range they used to receive as of April 2020.

Vaccination efforts

Countries around the world are racing to get their populations vaccinated to be able to go back to normal. As the fourth wave hits South Africa in December 2021, and as the different stronger variants emerge, the country is also trying to vaccinate its population faster to minimize the severe health effects. After facing a harsh start to its vaccination program due to the ineffectiveness of the AstraZeneca vaccine to the Beta variant also known as B.1.351, on May 17, 2021, South Africa began the second phase of its vaccination program, opening it for people who are 60 and over. Previously, the so-called Sisonke Program was rolled out as the first phase to ensure the vaccination of the health workers protecting them from the pandemic. As of March 6, 2022, Gauteng was the region with the highest number of vaccinated individuals followed by Western Cape with around 9.02 million and five million inoculations, respectively.

Project Overview In the week of March 23, 2020 Nancy Jacobs and Lorato Trok assembled a journal-writing team of 18 South African students from under-privileged Black urban and rural communities. Lorato is an author and literacy specialist in South Africa who identified our participants through her literacy networks and coached the students through the project. Nancy is a Professor at Brown University who secured support for the project from Office of the Vice President for Research at Brown University, the Brown Arts Initiative, and the History Department at Brown University. Data Collection Overview We paid the students a stipend of $20/week for participating and covered their data costs. The financial aid helped stimulate participation and (as they later explained) motivated family support for the project. The students produced an archive that documented the experience of the pandemic in their communities through writings, photographs, and audio-video interviews. They submitted two to three exercises a week for 10 weeks. Because we wanted fuller narratives than can be produced through texting, participants hand-wrote their journal entries, photographed them and submitted via WhatsApp. The project closed in the last week of June. The entire archive consists of over 400 pages of mostly handwritten responses (in English) to weekly prompts, 89 short audio or video interviews, some very short, transcribed and translated into English, and several dozen photographs. The project is organized around contributors, identified by first name only. Most students submitted interviews and photographs in addition to text. Some only submitted text. The last entry in the archive contains reflections on the project itself. The students were serious about leaving a historical record about this exceptional moment. Many told us their families appreciated the assistance in a hard time. Shared Data Organization The project is organized around contributors, identified by first name only. Each individual interview transcript has two verisons: an original and an English translated version labeled TR.

South Africa recorded 1739976 Coronavirus Recovered since the epidemic began, according to the World Health Organization (WHO). In addition, South Africa reported 90172 Coronavirus Deaths. This dataset includes a chart with historical data for South Africa Coronavirus Recovered.

Collection of data reports and weekly reports that assisted the COVID-19 outbreak in terms of data, meta data and trends that aided in the fight against public healthcare interventions such as public vaccine programmes.

List of public and private Covid-19 vaccination sites in South Africa up to April 2022.

This dataset aims to determine the views, perceptions and behaviours of Generation Z in South Africa towards health crisis communication during the COVID-19 pandemic. The data was collected through semi-structured face-to-face interviews, and the 12 participants were selected from across the gender among Gen Z at the University of Pretoria. These interviews dwelled on areas like trust in government messaging, adherence to health measures, using social and digital platforms to share information and attitudes towards contradictory or inconsistent health information.The semi-structured interview methodology combining some extent of formal questions and answers with detailed participants’ descriptions gave profound qualitative data. It was, therefore, essential to come up with questions that would bring out episodes, feelings and thought processes that people went through during the pandemic. This way of working was helpful in thoroughly investigating the topics of interest while respecting the participants’ priorities. The dataset is central to this part of the analysis because cognitive dissonance, communication strategies, and behavioural outcomes are presumably linked in this population.

Introduction: Social or physical distancing has been an effective measure for reducing the spread of COVID-19 infections. Investigating the determinants of adherence to social distancing can inform public health strategies to improve the behaviour. However, there is a lack of data in various populations. This study investigates the degree to which South Africans complied with social distancing during the country's COVID-19 lockdown and identifies the determinants associated with being in close contact with large numbers of people.Materials and Methods: Data was collected from a South African national online survey on a data free platform, supplemented with telephone interviews. The survey was conducted from 8 to 29 April 2020. The primary outcome was the number of people that participants came into close contact with (within a 2-metre distance) the last time they were outside their home during the COVID-19 lockdown. Multivariate multinomial regression investigated the socio-demographic, psychosocial and household environmental determinants associated with being in contact with 1–10, 11–50 and more than 50 people.Results: Of the 17,563 adult participants, 20.3% reported having not left home, 50.6% were in close physical distance with 1–10 people, 21.1% with 11–50 people, and 8.0% with >50 people. Larger household size and incorrect knowledge about the importance of social distancing were associated with being in contact with >50 people. Male gender, younger age and being in the White and Coloured population groups were significantly associated with being in contact with 1–10 people but not with larger numbers of people. Employment, at least secondary school education, lack of self-efficacy in being able to protect oneself from infection, and moderate or high risk perception of becoming infected, were all associated with increased odds of close contact with 1–10, 11–50, and >50 people relative to remaining at home.Conclusion: The findings identify subgroups of individuals that are less likely to comply with social distancing regulations. Public health communication, interventions and policy can be tailored to address these determinants of social distancing.