How does population viral load vary with the evolution of a large HIV epidemic in sub-Saharan Africa?
Using mathematical modelling, we describe the temporal evolution of population HIV-1 viral load in Tanzania throughout the epidemic. Population log10 viral load was found to be stable and not sensitive to epidemic dynamics. However, even modest increases in antiretroviral therapy (ART) coverage were reflected as appreciable reductions in population log10 viral load. As ART coverage expands in sub-Saharan Africa, population log10 viral load will increasingly become a powerful proxy for monitoring ART implementation and HIV incidence trends.
aInfectious Disease Epidemiology Group, Weill Cornell Medical College - Qatar, Cornell University, Qatar Foundation - Education City, Doha, Qatar bDepartment of Healthcare Policy and Research, Weill Cornell Medical College, Cornell University, New York, New York cVaccine and Infectious Disease Division, Cancer Research Centre, Seattle, Washington, USA.
Laith J
LJ
Abu-Raddad
Susanne F
SF
Awad
D044966:Anti-Retroviral Agents / Q000627:therapeutic use; D058872:Epidemics; D015658:HIV Infections / Q000188:drug therapy / Q000453:epidemiology* / Q000821:virology*; D015497:HIV-1 / Q000302:isolation & purification*; D006801:Humans; D008962:Models, Theoretical; D013636:Tanzania / Q000453:epidemiology; D016896:Treatment Outcome; D019562:Viral Load
D044966:Anti-Retroviral Agents