Department of Geography and Environmental Studies

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Browsing Department of Geography and Environmental Studies by Subject "Affordable housing"

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    The effects of different housing and basic services on disease
    (Stellenbosch : Stellenbosch University, 2018-04) Letlape, Segametsi; Geyer, Herman; Stellenbosch University. Faculty of Arts and Social Sciences. Dept. of Geography and Environmental Studies.
    ENGLISH ABSTRACT: The prevalence and increase of non-communicable diseases (NCDs), including cardiovascular diseases, diabetes, cancer, and chronic respiratory diseases, are a major threat to human health and development globally. In 2016, 456612 citizens have died due to different types of causes of deaths and deaths due to NCDs in South Africa are very high for adults from the ages of 45 and above 90 years while deaths due to communicable diseases are high (77,1%) for neonates between the ages 0-1 year. It was reported that deaths due to NCDs peaked from ages 45-49 years at 44.5% to 84.2% for people between the ages 80-84 years and dropped to 80.6% for adults aged 90 years and above. The environment plays a critical role in the development of communicable diseases. General sanitation, temperature, air pollution and water quality are among the factors that influence all stages in the chain of infection. The purpose of the study is to analyse the effects of housing and basic services on communicable and non-communicable diseases. This study will then identify risk factors such as the environment, which means the materials used to build the house and other basic services, such as sanitation, which have an effect on the spread of communicable and non-communicable diseases. Secondary data from the Living Conditions Survey 2014-2015, that was conducted by Statistics South Africa (Stats SA), will be used for analysis. Research subjects will be respondents in all nine provinces of South Africa in 2014/15 who were sampled and agreed to participate in the survey. This includes all respondents who are suffering from chronic illnesses and children below the age of 5 years who have suffered from communicable diseases. The significant difference between the expected and observed frequencies in one or more categories will be determined by using chi-square. A positive significant relationship was observed between fever and refuse collection were the chi-square 50.300 and the p-value is 0.000. Findings of logistic regression indicate that there is positive significant relationship with substandard housing material as compared with the standard housing material.