Table 1a.
Specific Distribution of Studies, Timeline, Sample Size and Prevalence of Multiple HPV Infections in Africa
| Autho r(s) | Location/Country | Duration of Study |
Age range/Mean |
Cases | Multiple | Order of Prevalence |
|---|---|---|---|---|---|---|
| years | N | HPV | High-risk HPV | |||
| Obiri-Yeboah et al 2017 | Ghana | 2017 | ≤29-60+/44 | 329 | 113 (34.3) | 35,58,52,18,56 |
| Yakub et al 2019a | Northern Nigeria | 2016-2017 | 20-50/NA | 220 | 25 (11.4) | 35,16,45,33,18 |
| Mutombo et al 2019 | D.R. Congo | 2015-2017 | 25-60+/46 | 1846 | 54 (2.9) | 56,52,53,35.45 |
| Ghedira et al 2016 | Tunisia | 2016 | 17-73/NA | 471 | 5 (1.1) | 16,31,58,66,56 |
| Ndizeye et al 2019 | Burundi | 2013/2016 | 17-65/38 | 600 | 64 (10.7) | 16,18,33,58,31 |
| Nchome et al 2020 | Tanzania | 2015-2016 | 25-60/NA | 3416 | NA | 52,16,58,18,35 |
| Vassilakos et al 2016 | Madagascar | 2015 | 30-65/NA | 403 | 143 (35.4) | 53,68,52,35,16/33 |
| Marembo et al 2019 | Zimbabwe | 2015 | 18-83/39 | 136 | 26 (19.1) | 18,52,16,58,51 |
| Belglaiaa et al 2015 | Morocco | 2014-2015 | 18-76/NA | 232 | 34 (14.7) | 16,53,18,52,31/33/56 |
| Nyasenu et al 2019 | Togo | 2014-2015 | 20-50+/NA | 324 | 7 (2.2) | 18,45,16,68,35/52/53 |
| Menon et al 2016 | Kenya | 2009-2015 | 18-61/28 | 616 | 202 (32.8) | 16,53,52,56,58 |
| Krings et al 2019 | Ghana | 2014 | 18-65/31 | 1943 | 188 (9.7) | 16,52,35,59,66 |
| Ezechi et al 2014 | Southern Nigeria | 2014 | 18-81/NA | 515 | 28 (5.4) | 16,35,58,31,18/52 |
| Youssef et al 2016 | Egypt | 2013-2014 | 20-40/29 | 152 | 39 (25.7) | 16,18,31,58/59,45 |
| Awua et al 2020 | Ghana | 2012-2013 | 15-65/NA | 226 | 151 (66.8) | 16,35,58,45,18 |
| Boumba et al 2015 | Congo | 2012 | 16-72/43 | 321 | 21 (6.5) | 16,33,18,31,35 |
| Akarolo-Anthony et al 2013 | Northern Nigeria | 2012 | 18-45+/37 | 278 | 23 (8.3) | 35,56,58,45/59,68 |
| Reddy et al 2015a | Malawi | 2011-2012 | 25-59/NA | 294 | NA | 58,35,16,33/52,18 |
| Namujju et al 2011 | Uganda | 2011 | NA/23 | 1943 | 366 (18.8) | 18,16,45,33,52 |
| Sweet et al 2020b | Kenya | 2009-2011 | 18-50/NA | 348 | 14 (4.0) | 52,31,16/51,35/45 |
| Dols et al 2012 | Tanzania/S. Africa | 2008-2010 | 20-73/NA | 194 | NA | 52,16,66,33/51,35 |
| Piras et al 2011 | Benin | 2009 | 15-70/NA | 427 | 57 (13.3) | 59,35,16,18,58 |
| Said et al 2009 | S. Africa | 2009 | NA/NA | 153 | 40 (26.1) | 35,18,58,16,66 |
| Wolday et al 2018 | Ethiopia | 2008-2009 | 18-55+/41 | 233 | 3 (1.3) | 16,35/45,31,56 |
| Maranga et al 2013 | Kenya | 2008-2009 | 27-68/35 | 224 | 37 (16.5) | 56,53,52,59,58 |
| Vidal et al 2011 | Tanzania | 2008-2009 | NA/40 | 215 | 149 (69.3) | 16,35,58,45,51 |
| Guthrie et al 2020a | Kenya | 2007-2009 | 18-50/NA | 283 | 122 (43.1) | 52,16/18,51,35 |
| Keita et al 2009 | Guinea | 2006-2008 | 15-64/NA | 831 | 386 (46.5) | 16,45,52,33,35/58 |
| Okolo et al 2010 | Southern Nigeria | 2004-2006 | 15-80/NA | 313 | 73 (23.3) | 16/35,31,56,58 |
Keys, AR; Age range, MA, mean age, Prev.; Prevalent, HR; high risk, NA; Not available, D.R.; Democratic Republic, S. Africa; South Africa, a; HIV infected, commercial Sex Workers