Food-borne disease prevalence in rural villages in the Eastern Cape, South Africa

Afr J Prim Health Care Fam Med. 2018 Sep 27;10(1):e1-e5. doi: 10.4102/phcfm.v10i1.1796.

Abstract

Background: The highest burden of food-borne diseases is in Africa. Despite this, food safety does not seem to be a major concern in many African countries. There is also a lack of concern within rural areas of South Africa.

Aim: The aim of this study was to determine the prevalence of food-borne diseases in rural areas in the Eastern Cape, South Africa, by comparing data obtained from a cross-sectional survey and clinic records.

Setting: The study was conducted in Ncera, Mpongo and Needscamp villages in the Eastern Cape, South Africa.

Methods: In the first phase of the study, a random sample of household heads (n = 87) were interviewed to determine the prevalence of food-borne diseases between 2012 and 2014. In the second phase, registers from clinics serving the villages were screened for food-borne disease cases during the same time period.

Results: A total of 109 (27.3%) household members fell ill because of food-borne diseases. Half (n = 56; 51.3%) of the respondents who fell ill because of food-borne diseases did not seek medical treatment for their illness. Of those who sought treatment, 19 (46%) attended primary health care clinics. However, examination of the clinic registers showed only four recorded cases of food-borne diseases.

Conclusion: The prevalence of food-borne diseases in rural villages in the Eastern Cape, South Africa, was reported as high but the records in clinic registers are low, indicating a gap in the health care system. Monitoring of these diseases needs to improve.

Keywords: South Africa; community health; food-borne diseases; monitoring; rural settlements.

MeSH terms

  • Adult
  • Cross-Sectional Studies
  • Educational Status
  • Foodborne Diseases / epidemiology*
  • Foodborne Diseases / therapy
  • Humans
  • Income / statistics & numerical data
  • Male
  • Patient Acceptance of Health Care / statistics & numerical data
  • Prevalence
  • Risk Factors
  • Rural Population / statistics & numerical data*
  • South Africa / epidemiology