HIV– A Biological Polycomputing Perspective
Author:
Affiliation:
1. University of South Africa,Department of Decision Sciences,Pretoria,South Africa
Funder
University of South Africa
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10645221/10645222/10645274.pdf?arnumber=10645274
Reference26 articles.
1. Socioeconomic factors impact the risk of HIV acquisition in the township population of South Africa: A Bayesian analysis
2. Mapping HIV prevalence in sub-Saharan Africa between 2000 and 2017
3. Who is Exposed to HIV Prevention Interventions? An Assessment of Associated Factors Among Adolescent Girls and Young Women in South Africa
4. The Association of Women’s Empowerment with HIV-Related Indicators: A Pooled Analysis of Demographic and Health Surveys in Sub-Saharan Africa
5. Discipline for pleasure: a new governmentality of HIV prevention
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