Estimating the burden of cancer in South Africa

SA Journal of Oncology

Field Value
Title Estimating the burden of cancer in South Africa
Creator Finestone, Emma Wishnia, Jodi
Subject — cancer; incidence; non-communicable disease; public health; South Africa
Description Background: The incidence of cancer is on the rise in South Africa and globally. However, literature on the current and expected future burden of cancer in the country is lacking.Aim: To develop a model that forecasts the incidence of five of the most commonly diagnosed cancers in South Africa. The model aims to estimate the true underlying burden of cancer, as opposed to diagnosed cases only.Setting: South Africa.Methods: Age-specific incidence rates for each cancer are forecasted for the period 2019–2030, based on a combination of public and private sector cohort data. It is assumed that historical trends in changes in the incidence rate of cancer will continue over the forecasting period. Forecasted incidence rates are applied to population forecasts to find the total number of incident cancer cases for the relevant year.Results: The incidence of all cancers included in this research is increasing over time, with the total number of cases just less than doubling between 2019 and 2030 (from approximately 62 000 to 121 000 incident cases). This is a result of increases in the age-specific incidence rate of cancer, as well as the growth and ageing of the South African population.Conclusion: Results confirm that cancer is a major and growing public health problem in South Africa. This highlights the need for increases in resources available for cancer services, as well as rapid implementation of cancer prevention strategies, to reduce the number of future cancer cases, and thereby reduce the burden on the health system.
Publisher AOSIS
Contributor The Cancer Alliance (South Africa), Discovery Health Medical Scheme, South African National Cancer Registry
Date 2022-08-11
Type info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion — Quantitative model
Format text/html application/epub+zip text/xml application/pdf
Identifier 10.4102/sajo.v6i0.220
Source South African Journal of Oncology; Vol 6 (2022); 7 pages 2523-0646 2518-8704
Language eng
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Coverage South Africa 2019-2030 —
Rights Copyright (c) 2022 Emma Finestone, Jodi Wishnia