Many parameters are examined to try to understand HIV transmission in endemic areas. Tanser et al. (Science TM 2017) use longitudinal population-based data from rural South Africa to show that population viral load indices incorporating geographical location and local HIV prevalence can be used to infer HIV transmission potential.
Their data demonstrate that accounting for HIV-negative individuals in calculations and transmission models is important for appropriate interpretations. Their findings could be helpful in guiding prevention intervention strategies in hyperendemic settings. Read Tanser et al. 2018 (Open access).
News date: 2017-12-15
Highlights of the second ISCB Student Council Symposium in Africa, 2017. Rafael CN, Ashano E, Moosa Y, Shome S, DeBlasio D, F1000 Research (2017), 6(ISCB Comm J):2183 (doi: 10.12688/f1000research.13463.1).
KRISP has been created by the coordinated effort of the University of KwaZulu-Natal (UKZN), the Technology Innovation Agency (TIA) and the South African Medical Research Countil (SAMRC).