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Is HIV/AIDS in Africa distinct? What can we learn from an analysis of the literature?

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  • Omwoyo Bosire Onyancha

    (University of South Africa)

  • Dennis N. Ocholla

    (University of Zululand)

Abstract

This paper investigates, through an analysis of the published literature, the notion held by several people that HIV/AIDS in Africa is unique. Using co-word and multidimensional scaling (MDS) analyses of MEDLINE-extracted HIV/AIDS records, this study used five lists of terms to investigate the related-ness of various factors and diseases to HIV/AIDS. The lists consisted of risk factors, sexually transmitted diseases, tropical diseases, opportunistic diseases, and pre-disposing factors. Data (i.e. words.txt — consisting of keywords/phrases describing the aforementioned factors and diseases; and text.txt — containing HIV/AIDS papers’ titles) were analyzed using TI computer-aided application software, developed by Leydesdorff. Results revealed that several factors and diseases that are pre-dominant in Sub-Saharan Africa exhibited strong and high pattern of co-occurrences with HIV/AIDS, implying close associated-ness with the epidemic in the region. Further areas of research, whose results will be used to make conclusive observations and arguments concerning the uniqueness of HIV/AIDS in Sub-Saharan Africa, are recommended.

Suggested Citation

  • Omwoyo Bosire Onyancha & Dennis N. Ocholla, 2009. "Is HIV/AIDS in Africa distinct? What can we learn from an analysis of the literature?," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(2), pages 277-296, May.
  • Handle: RePEc:spr:scient:v:79:y:2009:i:2:d:10.1007_s11192-009-0418-y
    DOI: 10.1007/s11192-009-0418-y
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    References listed on IDEAS

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    1. Abraham Bookstein & T. Raita, 2001. "Discovering term occurrence structure in text," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 52(6), pages 476-486.
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    Cited by:

    1. Limei Zhao & Qingpu Zhang, 2011. "Mapping knowledge domains of Chinese digital library research output, 1994–2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 51-87, October.

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