ArticlePathogens and global health2017
Exploring urban health in Cape Town, South Africa: an interdisciplinary analysis of secondary data.
Article in Pathogens and global health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 13 citations in OpenAlex.
- Clinical Evaluation of Pediatric Pulse Oximeters in South Africa: Protocol for a Cluster Randomized Controlled Trial.JMIR research protocols · 2026Article
- Characteristics and outcomes of children initiated on high flow nasal cannula and continuous positive airway pressure at the emergency centre of a district hospital in South Africa.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2025Article
- A 6-year audit of public-sector MR utilisation in the Western Cape province of South Africa.SA journal of radiology · 2022Article
- Quantifying clinic transfers among people living with HIV in the Western Cape, South Africa: a retrospective spatial analysis.BMJ open · 2021Article
Corrections and comments
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Authors and funding
13 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWith modern information technology, an overwhelming amount of data is available on different aspects of societies. Our research investigated the feasibility of using secondary data sources to get an overview of determinants of health and health outcomes in different population strata of Cape Town, a large city of South Africa.
methodsThe methodological approach of secondary-data analysis was similar in the different disciplines: Biological Anthropology, Public Health, Environmental Health, Mental Health, Palliative Care, Medical Psychology and Sociology at the University of Freiburg and Public Health at the University of Cape Town. The teams collected information on Cape Town through Internet searches and published articles. The information was extracted, analyzed, condensed, and jointly interpreted.
resultsData show the typical picture of a population in epidemiological and demographic transition exposed to often difficult social, mental, and physical environmental conditions. Comparison between low and higher socioeconomic districts demonstrated that the former had higher air pollution, poorer water quality, and deficient sanitary conditions in addition to sub-optimal mental health services and palliative care.
conclusionAlthough important information gaps were identified, the data draw attention to critical public health interventions required in poor health districts, and to motivate for pro-equity policies.
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