Exploring urban health in Cape Town, South Africa: an interdisciplinary analysis of secondary data. (2nd January 2017)

• Record Type: Journal Article
• Authors: Mumm, Rebekka; Diaz-Monsalve, Sonia; Hänselmann, Eva; Freund, Johanna; Wirsching, Michael; Gärtner, Jan; Gminski, Richard; Vögtlin, Katrin; Körner, Mirjam; Zirn, Lena; Wittwer-Backofen, Ursula; Oni, Tolu; Kroeger, Axel
• Is Part Of: Pathogens and global health. Volume 111:Number 1(2017)
• Page Start: 7
• Page End: 22
• Publication Date: 2017-01-02
• Subjects: Urban health -- Cape Town -- interdisciplinary; Communicable diseases -- Periodicals; Public health -- International cooperation -- Periodicals; World health -- Periodicals; 362.1969
• DOI: 10.1080/20477724.2016.1275463
• Languages: English
• ISSNs: 2047-7724

Abstract

Abstract: Background: With 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. Methods: The 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. Results: Data 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. Conclusion: Although 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.