Socio-Economic and Cultural Determinants of HIV/AIDS in Botswana: The Logistic Regression Analysis

Author(s)

Khumo Masego Phologe ,

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Volume 8 - July 2019 (07)

Abstract

The paper investigates the determinants of HIV/ AIDS in Botswana in the changing aspects of HIV transmission using the BAIV IV data. With the use of the logistic regression model, the paper investigates the nature of relationships between; socio-economic and cultural variables; and HIV infection. The sample extracted from the BAIS IV data comprises of both male and female individuals aged between 15 and 49 years. Results indicated that the most important factors that affect the prevalence of HIV/AIDS in Botswana are socio-economic variables. People with the lower level of education (no education and informal education) are the most affected groups, and the higher education level one progresses to, the lower the likelihood of the HIV infection that individual is likely to have. The paper recommends that policymakers should improve the quality of education in Botswana. Efforts should be made to improve the non-formal and primary education levels and include HIV/AIDS as part of the syllabus. Furthermore, policymakers should focus more on job creation measures to reduce unemployment. Getting people out of poverty would help people avoid the practice of unsafe behaviours for survival purposes.

Keywords

HIV/AIDS, Socio-economic, Cultural, Logistic regression, Botswana

References

          i.        Agresti A. (2002), Categorical Data Analysis, Second Edition, University Of Florida, Gainesville, Florida

ii.      Ama N. O., Dwivedi V. K., Shaibu S. and Burnette D. (2015), Socio-Economic and Demographic Determinants of HIV Status among HIV Infected Older Adults (50-64 Years) in Botswana: Evidence From 2013 Botswana AIDS Impact Survey (BAIS IV). J AIDS Clin Res 6: 448.doi:10.4172/2155-6113.1000448

iii.    Brockerhoff M. and Biddlecom A. E. (1999), Migration, Sexual Behaviour and the Risk of HIV in Kenya, International Migration Review, 33(4).

iv.     Brummer D.  (2002), Labour Migration and HIV/AIDS in Southern Africa, Pretoria, South Africa, International Organisation for Migration Regional Office for South Africa.

v.       Bucagu M., Kagubare J. M., Basinga P., Ngabo F., Timmons B. K. and Lee A. C. (2012), Impact of Health Systems Strengthening on Coverage Of Maternal Health Services in Rwanda. Empowering Women for Gender Equity, 1-12.

vi.     Caldwell J., (2000), Rethinking the African AIDS Epidemic, Population and Development Review, 26(1):117-135

vii.   Chanda-Kapata, P., Klinkenberg, E., Maddox, N., Ngosa, W., & Kapata, N. (2016). The prevalence and socio-economic determinants of HIV among teenagers aged 15-18 years who were participating in a mobile testing population based survey in 2013-2014 in Zambia. BMC public health, 16, 789. doi:10.1186/s12889-016-3449-3

viii. Commission on Social Determinants of Health (CSDH) (2008), Closing the Gap in a Generation: Health Equity Through Action on the Social Determinants of Health. Final Report of the Commission on Social Determinants of Health. World Health Organization, Geneva.

ix.     Danziger R., (1994), The Social Impact of HIV/AIDS in Developing Countries. Social Science and Medicine, 39 (7), 905-917.

x.       Hellandendu J.M. (2012), Contributory Factors to the Spread of HIV/AIDS and its Impacts in Sub-Saharan African Countries, European Scientific Journal, vol 8, no. 14

xi.     Kelly M. J. (1992), Education Reform Program Report.  Lusaka: Universityof Zambia.

xii.   Kelly M. J. (1995),The Impact of HIV/AIDS on Education in Zambia. (Report presented to the GRZ-UNICEF Girl Child Steering Committee).

xiii. Muvandi I. & Busang L. (2005), National HIV Prevalence and Factors That Influence HIV Status in Botswana: Preliminary Insights.

xiv. Reinado C. R. and Harnandez T. B. (2015), Trends in basic and Therapeutic Options in HIV Infection- Towards a Functional Cure, Health Institute Carlos III, Spain

xv.   Silva-Santisteban A., Segura E. R., Sandoval C., Girón M. and Petrera M. et al (2013), Determinants of Unequal HIV Care Access Among People Living with HIV in Peru. Global Health 9:22

xvi. Soeters R., Harbineza C., and Peerenboom P. B., (2006), Performance Based Financing and Changing the District Health System: Experience From Rwanda. World Health Organization, Bulletin of the World Health Organization. 84 (11), 884-889.

xvii.                       The National AIDS Coordinating Agency (NACA), (2003), Botswana 203 Second Generation HIV/AIDS Surveillance: A Technical Report, November 2003.

xviii.                     Tiruneh G. (2009), Determinants of Adult HIV/AIDS Prevalence in Africa: Do Cultural Variations Matter? Midsouth Political Science Review, 10: 103-124.

xix. UNAIDS/WHO(2005), Joint United Nations Programme on HIV/AIDS (UNAIDS) World Health Organization (WHO), UNAIDS/05.19E (English original, December 2005)

xx.   UNAIDS (2016), Global AIDS Update 2016

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