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. 2022 Feb 19;45:101306. doi: 10.1016/j.eclinm.2022.101306

Table 2.

Projected HIV prevalence and HPV vaccination impact on HIV burden among women and men in 2050 and 2070 relative to a baseline scenario with no vaccination.

Women Men
HIV prevalence (%) % reduction in prevalence Cumulative HIV cases averted HIV prevalence (%) % reduction in prevalence Cumulative HIV cases averted
2050
No vaccination 1.0 (0.7-1.4) Reference Reference 0.5 (0.4-0.7) Reference Reference
Single age 1.0 (0.7-1.4) 2.4 (1.9-3.0) 7,596 (5,018-12,627) 0.5 (0.4-0.7) 2.2 (1.7-2.5) 3,491 (2,320-5,622)
MAC 1.0 (0.7-1.3) 3.4 (2.7-4.1) 11,370 (7,548-18,702) 0.5 (0.4-0.7) 3.1 (2.5-3.7) 5,352 (3,597-8,609)
Moderate catch-up 1.0 (0.7-1.3) 4.5 (3.6-5.4) 17,183 (11,570-27,740) 0.5 (0.4-0.7) 4.3 (3.5-5.1) 8,192 (5,630-13,000)
High-coverage catch-up 1.0 (0.7-1.3) 5.1 (4.1-6.2) 20,116 (13,533-32,301) 0.5 (0.4-0.7) 4.9 (4.0-5.8) 9,620 (6,636-15,268)
HPV-FASTER* 1.0 (0.7-1.3) 5.4 (4.4-6.6) 23,626 (15,811-37,286) 0.5 (0.4-0.7) 5.3 (4.3-6.2) 10,945 (7,651-17,366)
2070
No vaccination 0.3 (0.2-0.5) Reference Reference 0.2 (0.1-0.2) Reference Reference
Single age 0.3 (0.2-0.4) 7.6 (6.1-9.1) 15,609 (9,916-27,192) 0.2 (0.1-0.2) 7.4 (5.9-8.9) 8,253 (5,156-13,666)
MAC 0.3 (0.2-0.4) 8.9 (7.1-10.6) 20,570 (13,284-35,553) 0.2 (0.1-0.2) 8.6 (6.9-10.3) 10,944 (6,959-18,009)
Moderate catch-up 0.3 (0.2-0.4) 10.0 (8.1-12.0) 27,568 (18,298-46,725) 0.2 (0.1-0.2) 9.8 (8.0-11.7) 14,604 (9,596-23,731)
High-coverage catch-up 0.3 (0.2-0.4) 10.6 (8.7-12.7) 31,145 (20,691-52,430) 0.2 (0.1-0.2) 10.4 (8.5-12.4) 16,444 (10,870-26,697)
HPV-FASTER* 0.3 (0.2-0.4) 11.0 (8.9-13.2) 34,981 (23,224-57,825) 0.2 (0.1-0.2) 10.8 (8.8-12.8) 17,970 (12,023-29,161)

Abbreviation: HPV, human papillomavirus; MAC, multi-age cohort

The HPV-FASTER scenario is similar to the strategy proposed by Bosch et al,18 except that only the vaccination component is modelled in this scenario.