As of 2019, 4.74 million South Africans were suffering from hypertension, making it the most prevalent chronic health condition in the country. Having come a long way in reducing HIV and AIDS-related infections and cases of death, but still facing the world's biggest HIV epidemic, approximately 1.68 million cases of HIV and AIDS had been diagnosed as a chronic health condition by a medical practitioner or nurse.

IntroductionSouth Africa has the largest burden of HIV worldwide and has a growing burden of non-communicable diseases; the combination of which may lead to diseases clustering in ways that are not seen in other regions. This study sought to identify common disease classes and sociodemographic and lifestyle factors associated with each disease class.MethodsData were analyzed from the South African Demographic and Health Survey 2016. A latent class analysis (LCA) was conducted using nine disease conditions. Sociodemographic and behavioral factors associated with each disease cluster were explored. All analysis was conducted in Stata 15 and the LCA Stata plugin was used to conduct the latent class and regression analysis.ResultsMultimorbid participants were included (n = 2 368). Four disease classes were identified: (1) HIV, Hypertension and Anemia (comprising 39.4% of the multimorbid population), (2) Anemia and Hypertension (23.7%), (3) Cardiovascular-related (19.9%) and (4) Diabetes and Hypertension (17.0%). Age, sex, and lifestyle risk factors were associated with class membership. In terms of age, with older adults were less likely to belong to the first class (HIV, Hypertension and Anemia). Males were more likely to belong to Class 2 (Anemia and Hypertension) and Class 4 (Diabetes and Hypertension). In terms of alcohol consumption, those that consumed alcohol were less likely to belong to Class 4 (Diabetes and Hypertension). Current smokers were more likely to belong to Class 3 (Cardiovascular-related). People with a higher body mass index tended to belong to Class 3 (Cardiovascular-related) or the Class 4 (Diabetes and Hypertension).ConclusionThis study affirmed that integrated care is urgently needed, evidenced by the largest disease class being an overlap of chronic infectious diseases and non-communicable diseases. This study also highlighted the need for hypertension to be addressed. Tackling the risk factors associated with hypertension could avert an epidemic of multimorbidity.

Latest data from 2017 show that Tuberculosis was with approximately 28,700 cases the leading cause of death in South Africa. Diabetes mellitus caused 25 thousand casualties and was the second highest underlying cause of death, whereas 22,259 people passed away due to Cerebrovascular diseases (e.g. stroke, carotid stenosis). HIV/AIDS was the fifth ranked disease, causing 21,439 casualties. In total, roughly 20.6 million people in East and Southern Africa lived with HIV in 2018, causing over 300,000 AIDS-related deaths.

In 2021, the leading causes of death in Africa were lower respiratory infections, malaria, and stroke. That year, lower respiratory infections resulted in around 65 deaths per 100,000 population in Africa. Leading causes of death in Africa vs the world Worldwide, the top three leading causes of death in 2021 were heart disease, COVID-19, and stroke. At that time, some of the leading causes of death in Africa, such as lower respiratory infections and stroke, were among the leading causes worldwide, but there were also stark differences in the leading causes of death in Africa compared to the leading causes worldwide. For example, malaria, diarrheal disease, and preterm birth complications were among the top ten leading causes of death in Africa, but not worldwide. Furthermore, HIV/AIDS was the eighth leading cause of death in Africa at that time, but was not among the top ten leading causes worldwide. HIV/AIDS in Africa Although HIV/AIDS impacts every region of the world, Africa is still the region most impacted by this deadly virus. Worldwide, there are around 40 million people currently living with HIV, with about 20.8 million found in Eastern and Southern Africa and 5.1 million in Western and Central Africa. The countries with the highest HIV prevalence worldwide include Eswatini, Lesotho, and South Africa, with the leading 20 countries by HIV prevalence all found in Africa. However, due in part to improvements in education and awareness, the prevalence of HIV in many African countries has decreased. For example, in Botswana, the prevalence of HIV decreased from 26.1 percent to 16.6 percent in the period from 2000 to 2023.

In 2021, Lesotho had the highest age-standardized death rate due to heart disease, with 456 deaths per 100,000 individuals in the country. This was the highest recorded rate in the Southern African region. On the other hand, Zambia had the lowest heart disease death rate, with 218 deaths per 100,000 people.

Forecast: Ischaemic Heart Diseases Mortality in South Africa 2023 - 2027 Discover more data with ReportLinker!

IntroductionInformation pertaining to multimorbidity is frequently informed by studies from high income countries and it is unclear how these findings relate to low and middle income countries, where the burden of infectious disease is high. South Africa has a quadruple burden of disease which includes a high HIV prevalence and a growing burden of non-communicable diseases. This study aimed to analyse the prevalence and patterns (disease classes or clusters) of multimorbidity in South Africa.MethodsA secondary analysis of individuals over the age of 15 years who participated in the Fifth South African National HIV Prevalence, Incidence, Behavior and Communication Survey, 2017 (SABSSM 2017) was done. Six disease conditions were identified in the analysis (cancer, diabetes, heart disease, hypertension/high blood pressure, tuberculosis, and HIV). Chi-square tests were used to test for the differences in disease prevalence by sex. Common disease patterns were identified using a latent class analysis.ResultsThe sample included 27,896 participants, of which 1,837 had comorbidity or multimorbidity. When taking population-weighting into account, multimorbidity was present in 5.9% (95% CI: 5.4–6.4) of the population The prevalence of multimorbidity tended to be higher among females and increased with age, reaching 21.9% in the oldest age group (70+). The analyses identified seven distinct disease classes in the population. The largest class was “Diabetes and Hypertension” (36.3%), followed by “HIV and Hypertension” (31.0%), and “Heart disease and Hypertension” (14.5%). The four smaller classes were: “HIV, Diabetes, and Heart disease” (6.9%), “TB and HIV” (6.3%), “Hypertension, TB, and Cancer” (2.8%), and “All diseases except HIV” (2.2%).ConclusionAs the South African population continues to age, the prevalence of multimorbidity is likely to increase which will further impact the health care system. The prevalence of multimorbidity in the population was relatively low but reached up to 20% in the oldest age groups. The largest disease cluster was the combination of diabetes and hypertension; followed by HIV and hypertension. The gains in improving adherence to antiretrovirals amongst treatment-experienced people living with HIV, should be expanded to include compliance with lifestyle/behavioral modifications to blood pressure and glucose control, as well as adherence to anti-hypertension and anti-diabetic medication. There is an urgent need to improve the early diagnosis and treatment of disease in the South African population.

Cause of death, by non-communicable diseases (% of total) in South Africa was reported at 51.33 % in 2019, according to the World Bank collection of development indicators, compiled from officially recognized sources. South Africa - Cause of death, by non-communicable diseases (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

BackgroundOf the total 56 million deaths worldwide during 2012, 38 million (68%) were due to noncommunicable diseases (NCDs), particularly cardiovascular diseases (17.5 million deaths) cancers (8.2 million) which represents46.2% and 21.7% of NCD deaths, respectively). Nearly 80 percent of the global CVD deaths occur in low- and middle-income countries. Some of the major CVDs such as ischemic heart disease (IHD) and stroke and CVD risk conditions, namely, hypertension and dyslipidaemia share common modifiable risk factors including smoking, unhealthy diets, harmful use of alcohol and physical inactivity. The CVDs are now putting a heavy strain of the health systems at both national and local levels, which have previously largely focused on infectious diseases and appalling maternal and child health. We set out to estimate district-level co-occurrence of two cardiovascular diseases (CVDs), namely, ischemic heart disease (IHD) and stroke; and two major risk conditions for CVD, namely, hypertension and dyslipidaemia in South Africa.MethodThe analyses were based on adults health collected as part of the 2012 South African National Health and Nutrition Examination Survey (SANHANES). We used joint disease mapping models to estimate and map the spatial distributions of risks of hypertension, self-report of ischaemic heart disease (IHD), stroke and dyslipidaemia at the district level in South Africa. The analyses were adjusted for known individual social demographic and lifestyle factors, household and district level poverty measurements using binary spatial models.ResultsThe estimated prevalence of IHD, stroke, hypertension and dyslipidaemia revealed high inequality at the district level (median value (range): 5.4 (0–17.8%); 1.7 (0–18.2%); 32.0 (12.5–48.2%) and 52.2 (0–71.7%), respectively). The adjusted risks of stroke, hypertension and IHD were mostly high in districts in the South-Eastern parts of the country, while that of dyslipidaemia, was high in Central and top North-Eastern corridor of the country.ConclusionsThe study has confirmed common modifiable risk factors of two cardiovascular diseases (CVDs), namely, ischemic heart disease (IHD) and stroke; and two major risk conditions for CVD, namely, hypertension and dyslipidaemia. Accordingly, an integrated intervention approach addressing cardiovascular diseases and associated risk factors and conditions would be more cost effective and provide stronger impacts than individual tailored interventions only. Findings of excess district-level variations in the CVDs and their risk factor profiles might be useful for developing effective public health policies and interventions aimed at reducing behavioural risk factors including harmful use of alcohol, physical inactivity and high salt intake.

We asked South African consumers about "Prevalence of health conditions" and found that "Mental health conditions (e.g., burnout, depression, anxiety)" takes the top spot, while "Physical disabilities (e.g., cerebral palsy, spinal cord injury, limb loss)" is at the other end of the ranking.These results are based on a representative online survey conducted in 2024 among 2,034 consumers in South Africa.

Dataset used to evaluate the short-term effects of the physical and health KaziKidz intervention on cardiometabolic risk factors and the long-term changes thereof among school-aged children at risk of NCDs from disadvantaged communities in South Africa.

It encompasses anonymized, unique, identification numbers, anthropometric and clinical measures, such as blood pressure, blood sugar and blood lipids, and Actigraphy-measured physical activity levels. Assigned categories to each cardiovascular risk factor and the overall classification as at risk or not is available too.

Abstract

This cumulative dataset contains statistics on mortality and causes of death in South Africa covering the period 1997-2017. The mortality and causes of death dataset is part of a regular series published by Stats SA, based on data collected through the civil registration system. This dataset is the most recent cumulative round in the series which began with the separately available dataset Recorded Deaths 1996.

The main objective of this dataset is to outline emerging trends and differentials in mortality by selected socio-demographic and geographic characteristics for deaths that occurred in the registered year and over time. Reliable mortality statistics, are the cornerstone of national health information systems, and are necessary for population health assessment, health policy and service planning; and programme evaluation. They are essential for studying the occurrence and distribution of health-related events, their determinants and management of related health problems. These data are particularly critical for monitoring the Sustainable Development Goals (SDGs) and Agenda 2063 which share the same goal for a high standard of living and quality of life, sound health and well-being for all and at all ages. Mortality statistics are also required for assessing the impact of non-communicable diseases (NCD's), emerging infectious diseases, injuries and natural disasters.

Geographic coverage

National coverage

Analysis unit

Individuals

Universe

This dataset is based on information on mortality and causes of death from the South African civil registration system. It covers all death notification forms from the Department of Home Affairs for deaths that occurred in 1997-2017, that reached Stats SA during the 2018/2019 processing phase.

Kind of data

Administrative records data [adm]

Mode of data collection

Other [oth]

Research instrument

The registration of deaths is captured using two instruments: form BI-1663 and form DHA-1663 (Notification/Register of death/stillbirth).

Data appraisal

This cumulative dataset is part of a regular series published by Stats SA and includes all previous rounds in the series (excluding Recorded Deaths 1996). Stats SA only includes one variable to classify the occupation group of the deceased (OccupationGrp) in the current round (1997-2017). Prior to 2016, Stats SA included both occupation group (OccupationGrp) and industry classification (Industry) in all previous rounds. Therefore, DataFirst has made the 1997-2015 cumulative round available as a separately downloadable dataset which includes both occupation group and industry classification of the deceased spanning the years 1997-2015.

Original data from: http://sci2s.ugr.es/keel/dataset.php?cod=184\ Changes made: - famhist converted to indicator 0/1 values Attributes: 0: class label: whether the person has a coronary heart disease: negative (-1) or positive (1). 1- sbp: systolic blood pressure 2- tobacco: cumulative tobacco (kg) 3- ldl: low densiity lipoprotein cholesterol 4- adiposity 5- famhist: family history of heart disease (1=Present, 0=Absent) 6- typea: type-A behavior 7- obesity (is this bmi?) 8- alcohol: current alcohol consumption 9- age: age at onset

Forecast: Respiratory System Disease Mortality in South Africa 2023 - 2027 Discover more data with ReportLinker!

Forecast: Cerebrovascular Diseases Mortality in South Africa 2024 - 2028 Discover more data with ReportLinker!

Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions (% of total) in South Africa was reported at 35.68 % in 2019, according to the World Bank collection of development indicators, compiled from officially recognized sources. South Africa - Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

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

The current health expenditure as a share of the GDP in Southern Africa was forecast to continuously increase between 2024 and 2029 by in total 0.1 percentage points. According to this forecast, in 2029, the share will have increased for the eighth consecutive year to 8.48 percent. According to Worldbank health spending includes expenditures with regards to healthcare services and goods. It is depicted here in relation to the total gross domestic product (GDP) of the country or region at hand.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the current health expenditure as a share of the GDP in countries like Western Africa and Eastern Africa.

Background: Disease is recognized as a long term driver of ecosystem change. There is currently a lack of data on disease in South Africa, especially in protected areas. Most available information details human, livestock and large game diseases, while there is little knowledge of disease in plants, lower order vertebrates and invertebrates. Increasing habitat fragmentation, especially outside parks, results in an increased interface risk between humans and wildlife, with a greater opportunity for disease transfer. Agricultural activities could also become an important source of disease outbreaks and emerging infectious disease, especially with an increase in wildlife farming, aquaculture and mariculture. The loss of biodiversity itself, and the resulting loss of genetic diversity, species abundance and community membership, may also result in an increase in the number and frequency of outbreaks of emerging infectious diseases. The potential for interaction between habitat fragmentation, climate change and emerging infectious diseases have made active collection of disease data for protected areas a priority if unacceptable biodiversity and economic losses and livelihood threats to neighbouring communities are to be detected and, where possible, prevented.

Methods: All potential disease threats for SANParks were listed and categorized using published data and expert opinion. Information on the distribution, risk factors and records of outbreaks were gathered for the diseases deemed important (most likely to be linked to global environmental change) or are regulated by the Diseases Act (n = 15: anthrax, African swine fever, African horse sickness, avian influenza, bovine tuberculosis, botulism, bovine brucellosis, Crimean Congo hemorrhagic fever, corridor disease, canine distemper, foot and mouth diseases, heart water, malignant catarrhal fever, rabies & rift valley fever). Summary statistics regarding the distribution of and trends in diseases were calculated from available data.

Major findings: Disease as a driver of Global Environmental Change proved to be a very challenging assessment. Reliable data on disease distribution, presence and impacts are scarce and it proved too difficult to assess where disease will act as a GEC driver. It is however clear that disease can often end up being part of the mechanism that influences populations negatively, exacerbating the impact of global environmental change. Ungulates are the group most commonly affected by the 15 diseases analyzed (probably because livestock and buffalo are tested most frequently), but some of these diseases can also spill over into their predators. Most of the disease information is present for savanna parks, mostly Kruger. This is likely because the best and most long-standing surveillance is present in these parks, as are most of the large mammals and the climate of these regions is better suited to several of the diseases. More data also occurs in areas where commercial farming is prevalent. Intensification of farming allows certain diseases to become expressed in animals where this would not happen if animals were free ranging. Surveillance and outbreak data are incomplete, making it difficult to determine trends. The data are also biased: although surveillance of disease is carried out, this is mostly conducted for controlled diseases with data collection being intensified during outbreaks. Obtaining better data is however costly and is challenged by the fact that most diseases can only be diagnosed from samples collected from post mortem of affected animals. Active surveillance is mostly prohibited by costs unless linked to a specifically funded project but passive surveillance and data repository in a central SANParks database will go a long way to record diseases that are present and to track changes over time. This does not, however, allow for predictions to be made, which this assessment was hoping to achieve.

Monitoring, management and policy implications: Recommendations from this assessment are for SANParks to develop a surveillance system for detecting disease, but more importantly, a central depository for disease data and mortality reports where incidents can be and assimilated centrally in SANParks. This is especially important in the savanna parks where most of the “top-15” diseases are present. Deciding how the disease distribution database and the trends databases from this project will be updated and included in management decision making will be an important part of this. Metadata that includes a measure of data collection effort is essential to enable detection of changes in patterns of disease outbreak. Making predictions regarding disease is difficult but regular scenario planning to interpret how other global environmental change factors will interact with disease is an important tool that can be used. A flexible and ra... Visit https://dataone.org/datasets/nicolavw.19.2 for complete metadata about this dataset.

South Africa Cardiovascular Devices Market size was valued at USD 379.15 Billion in 2023 and is projected to reach USD 581.87 Billion by 2031, growing at a CAGR of 5.5% from 2024 to 2031.

South Africa Cardiovascular Devices Market: Definition/ Overview

Cardiovascular devices are medical gadgets used to diagnose, treat, and manage cardiovascular disorders that affect the heart or blood arteries. Pacemakers, stents, cardiac valves, defibrillators, and ECG and ultrasound machines are examples of these devices. They are commonly used in the treatment of coronary artery disease, heart failure, arrhythmias, and hypertension. The future of cardiovascular devices seems hopeful, because to advances in minimally invasive treatments, bioresorbable materials, and digital health technology.