Have the explosive HIV epidemics in sub-Saharan Africa been driven by higher community viral load?

被引:30
作者
Abu-Raddad, Laith J. [1 ,2 ,3 ]
Barnabas, Ruanne V. [3 ,5 ,6 ,9 ,10 ]
Janes, Holly [3 ,7 ,11 ]
Weiss, Helen A. [13 ]
Kublin, James G. [3 ]
Longini, Ira M., Jr. [14 ,15 ,16 ,17 ]
Wasserheit, Judith N. [4 ,5 ,6 ,8 ,9 ,10 ,12 ]
机构
[1] Cornell Univ, Qatar Fdn Educ City, Weill Cornell Med Coll Qatar, Infect Dis Epidemiol Grp, Doha, Qatar
[2] Cornell Univ, Dept Publ Hlth, Weill Cornell Med Coll, New York, NY 10021 USA
[3] Fred Hutchinson Canc Res Ctr, Vaccine & Infect Dis Div, Seattle, WA 98104 USA
[4] Fred Hutchinson Canc Res Ctr, Div Clin Res, Seattle, WA 98104 USA
[5] Univ Washington, Sch Med, Dept Global Hlth, Seattle, WA USA
[6] Univ Washington, Sch Med, Dept Med, Seattle, WA 98195 USA
[7] Univ Washington, Sch Med, Dept Biostat, Seattle, WA USA
[8] Univ Washington, Sch Med, Dept Epidemiol, Seattle, WA USA
[9] Univ Washington, Sch Publ Hlth, Dept Global Hlth, Seattle, WA 98195 USA
[10] Univ Washington, Sch Publ Hlth, Dept Med, Seattle, WA 98195 USA
[11] Univ Washington, Sch Publ Hlth, Dept Biostat, Seattle, WA 98195 USA
[12] Univ Washington, Sch Publ Hlth, Dept Epidemiol, Seattle, WA 98195 USA
[13] London Sch Hyg & Trop Med, MRC, Trop Epidemiol Grp, Fac Epidemiol & Populat Hlth, London WC1, England
[14] Univ Florida, Coll Publ Hlth, Dept Biostat, Gainesville, FL USA
[15] Univ Florida, Coll Publ Hlth, Emerging Pathogens Inst, Gainesville, FL USA
[16] Univ Florida, Coll Med, Dept Biostat, Gainesville, FL USA
[17] Univ Florida, Coll Med, Emerging Pathogens Inst, Gainesville, FL USA
关键词
co-infection; epidemic; HIV; mathematical model; sub-Saharan Africa; viral load; IMMUNODEFICIENCY-VIRUS TYPE-1; TRANSMISSION; INFECTION; MALARIA; PREVENTION; PREVALENCE; ACTIVATION; EPISODES; SUBTYPE; ADULTS;
D O I
10.1097/QAD.0b013e32835cb927
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Objective: The HIV epidemic has carved contrasting trajectories around the world with sub-Saharan Africa (SSA) being most affected. We hypothesized that mean HIV-1 plasma RNA viral loads are higher in SSA than other areas, and that these elevated levels may contribute to the scale of epidemics in this region. Design and methods: To evaluate this hypothesis, we constructed a database of means of 71 668 viral load measurements from 44 cohorts in seven regions of the world. We used linear regression statistical models to estimate differences in viral load between regions. We also constructed and analyzed a mathematical model to describe the impact of the regional viral load differences on HIV epidemic trajectory. Results: We found substantial regional viral load heterogeneity. The mean viral load in SSA was 0.58 log(10) copies/ml higher than in North America (95% confidence interval 0.45-0.71); this represents about a four-fold increase. The highest mean viral loads were found in Southern and East Africa, whereas in Asia, Europe, North America, and South America, mean viral loads were comparable. Mathematical modeling indicated that conservatively 14% of HIV infections in a representative population in Kenya could be attributed to the enhanced infectiousness of patients with heightened viral load. Conclusion: We conclude that community viral load appears to be higher in SSA than in other regions and this may be a central driver of the massive HIV epidemics in this region. The elevated viral loads in SSA may reflect, among other factors, the high burden of co-infections or the preponderance of HIV-1 subtype C infection. (c) 2013 Wolters Kluwer Health vertical bar Lippincott Williams & Wilkins AIDS 2013, 27: 981-989
引用
收藏
页码:981 / 989
页数:9
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