Skip to main content
PMC home page
Asian Pacific Journal of Cancer Prevention : APJCP logoLink to Asian Pacific Journal of Cancer Prevention : APJCP
. 2021 Sep;22(9):2729–2741. doi: 10.31557/APJCP.2021.22.9.2729

Racial Disparities Associated with the Prevalence of Vaccine and Non-Vaccine HPV Types and Multiple HPV Infections between Asia and Africa: A Systematic Review and Meta-Analysis

Jude Ogechukwu Okoye 1,*, Chiemeka Franklin Chukwukelu 2, Simon Imakwu Okekpa 3,4, Samuel Ifedioranma Ogenyi 1, Ifeoma Nora Onyekachi-Umah 5, Anthony Ajuluchukwu Ngokere 1
PMCID: PMC8850889  PMID: 34582640

Abstract

Background/Objective:

Cervical Cancer is the 6th most common and 3rd most deadly cancer among women. Despite the fact that the majority of the countries in Asia and Africa have a similar economy and low life expectancy, the mean age-standardized incidence rate (ASIR) of cervical cancer is substantially higher in Africa than in Asia. This study identified the correlates of the higher ASIR rates in Africa relative to Asia against two timelines; 2004-2009 and 2010-2017.

Methods:

Peer-reviewed articles published between 2004 and 2017 were selected using the PRISMA standard. Sources of articles included Google Scholar, Scopus, PubMed Central, and EMBASE. Search keywords included: HPV genotypes, cervical cancer, HPV vaccine, and multiple infections in Africa and Asia.

Result:

Twenty-nine and seventeen full-length articles were selected from Africa and Asia, respectively. The pooled prevalence of HPV infection up to 2017 was higher in Africa (41.8%; 95% CI: 35.9, 47.7) than in Asia (24.2%; 95% CI: 16.22, 32.2) at p< 0.001. Between 2004-2009 and 2010-2017 timelines, the pooled prevalence of HPV infection decreased from 49.1% to 36.7% (OR’: 1.66, 95% CI: 1.51-1.80) in Africa and increased from 16.9% to 20.5% (OR’: 0.79, 95% CI: 0.71-0.86) in Asia. However, the pooled prevalence of multiple HPV infections and non-vaccine high-risk HPV infections were higher among African women diagnosed with cancer (30.9% and 5.2%) than their Asian counterparts (21.0% and 2.0%, respectively) at p< 0.001. Additionally, the pooled prevalence of the five most prevalent high-risk HPV types in Africa were HPV16 (35.3%), HPV52 (14.2%), HPV35 (12.4%), HPV18 (10.4%), and HPV58 (10.0%), while that of Asia were HPV16 (37.3%), HPV52 (16.2%), HPV58 (14.7%), HPV33 (7.4%) and HPV18 (7.2%).

Conclusion:

This study suggests that the higher prevalence of HPV, multiple HPV and non-vaccine HPV infections could be responsible for the higher ASIR in Africa than in Asia.

Key Words: Cervical Cancer, Human Papillomavirus genotypes, Vaccine, Africa and Asia

Introduction

Cervical cancer is the 9th most common cancer in world, and the 6th most common and 3rd most deadly cancer among women (Fitzmaurice et al., 2019). Studies show a minor reduction in age standardized incidence rate (ASIR per 100,000) from 14.5 to 13.1 between 2017 and 2018, and a minor increase in the age standardized mortality rate (ASMR per 100,000) from 6.1 to 6.9 within the same period (Fitzmaurice et al., 2019; Arbyn et al., 2020). Despite the fact that majority of the countries in Asia and Africa have similar economy (less developed), low life expectancy and high mortality-to-incidence rate (Chen et al., 2017), the mean ASIR/ASMR of cervical cancer was higher in Africa (29.4/19.8) than in Asia (11.3/6.2) as of 2018 (Arbyn et al., 2020). The findings of Canfell et al., (2017) suggest that the high mortality rate among cervical cancer patients in Africa is associated with low access rate to treatment. However the reason for the high incidence rate of the disease in Africa remains unknown. As of 2018, the ASIR/ASMR varies: 43.1/20.0, 40.1/30.0, 29.6/23.0/, 26.8/21.1, and 7.2/5.1 in Southern, Eastern, Western, central, and Northern Africa, respectively (Arbyn et al., 2020). This shows that Northern Africa had the least ASIR/ASMR in Africa, yet these values are higher than that of Western Asia, the least affected Asian sub-region (4.1/2.5) (Arbyn et al., 2020). Of note also, the ratio of cervical cancer attributable to HPV in Sub-Saharan Africa and Northern Africa/Western Asia is 9.3:1 (de Martel et al., 2017). Abryn et al. and Martel et al. attributed the low ASIR in Northern Africa and Western Asia to low prevalence of HPV. They did not offer any reasons for the variation in ASIR of cervical cancer and prevalence. We however hypothesize that this could be related to the peculiar HPV subtypes found in Africa and the type of vaccines adopted in the African sub-regions.

Commonly used HPV vaccines include bivalent (HPV16/18), quadrivalent (HPV6/11/16/18) and nonavalent vaccines (Gardasil 9; 6/11/16/18/31/33/45/52/58) (Center for Disease Control and Prevention, 2019). The first two vaccines are widely used in Africa but the nonavalent vaccine which has a global estimated efficacy of 87-89.5% in prevention of cervical cancer worldwide, is yet to be widely adopted in Africa (de Martel et al., 2017; Muñoz et al., 2003). Barriers to implementation of national vaccination programs in African countries include inadequate infrastructure and finances, limited health worker training, vaccine cost, and cold chain capacity constraints (Black et al., 2018). Even if nonavalent vaccine is widely distributed in Africa, majority of the countries in sub-Saharan Africa would not reach HPV elimination by vaccination alone. This is because, if HPV vaccination were to eradicate HPV types 6, 11, 16, 18, 31, 33, 45, 52, and 58, the incidence of cervical cancer will still be > 4/100,000 due to other non-vaccine high risk HPV (hrHPV) types that are not currently covered (Brisson et al., 2020). Furthermore, the effectiveness of this vaccine will depend on the rate of HIV infection in the target population which in turn drives multiple HPV infection. In Asia, the prevalence of multiple HPV infection in normal and abnormal cervix is 5.1-25.2% and 10.6-33.3%, respectively (Muderris et al., 2019; Ge et al., 2019; Al-Lawati et al., 2020) whereas in Africa, this is 3.9%-15.8% and 22.9-35.7%, respectively (Keita et al., 2009; Piras et al., 2011; Ndizeye et al., 2019). This underscores the fact that multiple HPV infection limits the efficacy of available vaccine to prevent the development of cervical cancer. This review aimed at identifying the prevalent HPV types in Asia and Africa both in the general population and among women with cervical abnormalities. It also assesses the paradigm shift in the prevalence of HPV infection in Africa and Asia between two timelines; 2004-2009 and 2010-2017. It determined the prevalence of HPV infection preventable by available vaccines.

Materials and Methods

Peer-reviewed articles published in Africa (n= 29) and Asia (n= 17) between 2004 and 2017 were selected and screened using the PRISMA standard (Figure1) (Liberati et al., 2009; Moher et al., 2009).

Figure 1.

Figure 1

Open in a new tab

PRISMA Flow Chart Diagram of Study Selection. Figure 1b, Forest plot of pooled prevalence of HPV infection in Africa; Figure 1c, Forest plot of pooled prevalence of HPV infection in Asia. Figures 1b and 1c, The pooled prevalence of HPV infection up to 2017 was higher in Africa (41.8%; 95% CI: 35.9, 47.7) than in Asia (24.2%; 95% CI: 16.2, 32.2) at p< 0.001

Literature searches and Data sources

Sources of articles include Google Scholar, Scopus, PubMed Central, and EMBASE. Search keywords included “prevalence or frequency of HPV types among women Asia AND Africa”, “distribution of HPV types among women with and without cervical cancer in Africa and Asia”, “vaccine AND non-vaccine HPV types in Africa AND Asia”, cervical cancer attributed to HPV infection in Africa and Asia”, and cervical cancer related mortality in Africa and Asia. Titles of cohort and case-controlled studies published between 2000 and 2019 were searched for using keywords and mesh terms: (‘HPV’ and ‘human papillomavirus’) AND (‘ICC’ and ‘Invasive cervical cancer’) AND (‘prevalence’ OR ‘incidence’ OR ‘distribution’ OR ‘genotype’), AND (‘Africa’), AND (‘Asia’). We also searched for unpublished studies (grey literature) by evaluating ClinicalTrials.gov (NIH), and International Clinical Trial Registry Platform (WHO). Inclusion criteria included: Studies with frequency of HPV infection, must be full-length articles and involve cervical cancer, and the articles must involve Africa and Asia. Exclusion criteria: Articles not written in English, abstracts, non-full-length article, and articles without specific frequency of HPV types, articles not involving Africa and Asia as well as articles not involving cervical cancer.

Data collection and extraction

The vital information extracted for analysis included: participant characteristics such as sample size, cases of among African and Asian women, prevalence of any HPV infection and multiple HPV infection, HPV types (16, 18, 31, 33, 35, 39, 45, 51, 52, 53, 56, 58, 59, 66, 68, 82, 6 and 11), mean age, recruitment method, period of data collection, and study location and region (according to WHO classification). We investigated the frequency of HPV infection in between the two continents. When calculating the prevalence of any HPV infection (women who tested positive for any HPV type), an individual may have acquired both HPV35 and HPV45 or more but it would only count as one event. The range of high-risk HPVs investigated in the selected studies varied, thus when calculating the prevalence of an HPV type, only studies or cases that investigated that particular HPV type were considered. To assess the impact of timelines on the prevalence of HPV infection, data points were categorized into pre-and up to 2009, and from 2010 and up to 2017.

Data analyses

Pooled prevalence of HPV prevalence were presented in forest plots. Chi-square (X2) and Odds ratio analyses were used in calculating the difference in HPV types between Africa and Asia against different timelines (in GraphPad Prism, version 6.0). Significance was set at p< 0.05

Results

Based on the inclusion criteria and according to World Health Organization classification of geographic regions, West Africa had the highest number of participants (7,313; n= 14 studies), followed by East Africa (7,240; n= 8 studies), Central Africa (2,167; n= 2 studies), North Africa (855, n= 3 studies), South Africa (153; n= 1 study). One mixed study involving Tanzania and South Africa (with 194 participants) was also included. Figures 1b and 1c show the pooled prevalence of any HPV infection in Africa and Asia, respectively. Studies in Africa revealed that HPV16, HPV18 and HPV52 ranked first/second in 44.8%/17.2% (13/29; 5/29), 10.3%/10.3% (3/29) and 13.8%/10.3% (4/29; 3/29), respectively whereas studies in Asia revealed that they ranked first/second in 70.6%/23.5% (12/17; 4/17), 0.0%/11.8% (0/17; 2/17), and 23.5%/17.6% (4/17; 3/17), respectively. Interestingly, HPV35 ranked first and second in 17% (5/29) and 20.7% (6/29) in studies in Africa but it only ranked fifth in one study from Asia (5.9%; 1/17, Tables 1a and 1b). Higher prevalence of HPV and multiple infections were observed in Africa than in Asia, both in the general population and among women with cervical abnormalities (p< 0.001; Tables 2-4; see supplementary and supporting data). Between 2004-2009 and 2010-2017 timelines, the pooled prevalence of HPV infection decreased from 49.1% to 36.7% (OR’: 1.66, 95% CI: 1.51-1.80) in Africa and increased from 16.9% to 20.5% (OR’: 0.79, 95% CI: 0.71-0.86).

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
Open in a new tab

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

Table 1b.

Specific Distribution of Studies, Timeline, Sample Size and Prevalence of Multiple HPV Infections in Asia

Author (s) Location Duration of Study AR/MA Cases Multiple Order of Prev.
N HPV HR HPV
Zhang et al 2018 East China 2016-2017 18-96/44 2612 346 (13.2) 16,52,58.18,53
Ge et al 2019 East China 2016-2017 16-85/NA 65613 2242 (3.4) 16,58,52,53,39
Thapa et al 2018 Nepal 2016-2017 20-65/32 998 61 (6.1) 16,39,58,33,51
Tan et al 2018 Malaysia 2012-2016 28-77/49 394 13 (3.3) 16,18,58,33,31
Kesheh and Keyvani 2019 Iran 2011-2016 13-74/NA 8351 1620 (19.4) 16,53,52,51,66
Van et al 2017 Vietnam 2015 18-49/NA 400 14 (3.5) 16,18,58/59,35/51/52/56
Al-Lawati et al 2020 Oman 2014-2015 18-68/NA 258 11 (4.3) 82,68,18/53/56
Li et al 2016 SW China 2011-2015 17-84/36 28375 664 (2.3) 52,16,58,18,56
Zhong et al 2017 SE China 2010-2015 16-77/36 71435 5354 (7.5) 16,52,58,33,18
Zhang et al 2020 NE China 2012-2014 25-65/39 34587 676 (2.0) 16,58,52,53,33
Zeng et al 2016 NW China 2011-2014 <30-50+/NA 51345 3382 (6.6) 16,58,56,39,18
Bansal et al 2014 Qatar 2012-2013 16-84/41 3008 6 (0.2) 16,56,59,18/31/45
Wang et al 2015 China 2012 NA 9641 486 (5.0) 16,52,58,59,56
Kantathavorn et al 2015 Thailand 2011-2012 20-70/44 5906 NA 52,16,51,53/58
Park et al 2014 Korea 2009-2012 39-58/NA 1998 40 (2.0) 16,18,51,58,52
Miyashita et al 2009b Philippines 2006 18-40/24 369 94 (25.5) 52,16,66,45,59
Vet et al 2008 Indonesia 2004-2006 15-70/NA 2686 63 (2.3) 52,16,18,39,51
Open in a new tab

Keys, AR; age range, MA; mean age, HR; high risk, NW; North-Western, SW; South Western, NE; North East, NA; Not available, b; Commercial Sex Workers

Table 2.

Prevalence Comparison of HPV Genotypes between African and Asian population

Variables Africa Asia Africa vs Asia Africa vs Asia
Cases
(N)		 HPV+
n1 (%)		 Cases
(N)		 HPV+
n2 (%)		 n1-n2 (Rank) X2 (p) Pooled OR
(95% Cl)
Any HPV 17486 6541 (37.4) 287976 58364 (20.3) 17.1 <0.001 2.35 (2.27, 2.41)
Multiple 13582 2482 (18.3) 282070 16274 (5.7) 12.6 <0.001 3.65 (3.46, 3.82)
Vaccine HR
HPV16 17486 1396 (8.0) 287976 9413 (3.2) 4.8 (1) <0.001 2.57 (2.55, 2.57)
HPV18 17486 927 (5.3) 287976 2765 (1.0) 4.3 (3) <0.001 5.77 (5.31, 6.23)
HPV31 17486 669 (3.8) 287976 1294 (0.4) 3.4 (4) <0.001 8.81 (8.08, 9.68)
HPV33 17253 439 (2.5) 287976 1952 (0.7) 1.8 (9) <0.001 3.77 (2.69, 5.21)
HPV45 17165 669 (3.9) 287976 534 (1.9) 2.0 (8) <0.001 21.4 (19.11, 23.81)
HPV52 17165 857 (5.0) 287976 7686 (2.7) 2.3 (7) <0.001 1.88 (1.75, 2.01)
HPV58 17486 641 (3.7) 287976 5878 (2.0) 1.7 (10) <0.001 1.83 (1.68, 1.98)
Other HR
HPV35 17486 801 (4.6) 287976 578 (0.2) 4.4 (2) <0.001 23.87 (21.33, 26.58)
HPV39 17165 247 (1.4) 287976 2679 (0.9) 0.5 (16) <0.001 1.53 (1.35, 1.75)
HPV51 16932 402 (2.4) 287976 2293 (0.8) 1.6 (12) <0.001 3.03 (2.72, 3.39)
HPV53 11928 312 (2.6) 276270 2098 (0.8) 2.8 (5) <0.001 3.51 (3.13, 3.97)
HPV56 17486 388 (2.2) 287976 2391 (0.8) 1.4 (14) <0.001 2.71 (2.44, 3.03)
HPV59 16852 370 (2.2) 287976 1537 (0.5) 1.7 (10) <0.001 4.18 (3.74, 4.66)
HPV66 12927 408 (3.2) 278668 1243 (0.4) 2.8 (5) <0.001 7.27 (6.49, 8.08)
HPV68 16738 373 (2.2) 284968 1608 (0.6) 1.6 (12) <0.001 4.02 (3.60, 4.48)
HPV82 9045 158 (1.7) 101345 607 (0.6) 1.1 (15) <0.001 8.33 (6.96, 9.97)
LR Type
HPV6 9265 186 (2.0) 180707 4188 (2.3) 0.3 (17) 0.057 0.86 (0.74, 1.00)
HPV11 8241 132 (1.6) 180707 2404 (1.3) 0.3 (17) 0.034 1.21 (1.01, 1.45)
Open in a new tab

Table 3.

Frequency of HPV Genotype among Women with Abnormal Cervix

Variable Africa Asia Africa vs Asia
Abnormal Cases HPV+ Cases HPV+ n1-n2 (Rank) Chi-square (p)
Cervix (N) n1 (%) (N) n2 (%)
Any HPV 1035 815 (78.7) 961 820 (85.3) 6.6 <0.001
Multiple 544 168 (30.9) 757 159 (21.0) 9.9 <0.001
Vaccine HR
HPV16 1035 366 (35.3) 961 358 (37.3) 2.0 (15) 0.402
HPV18 1035 108 (10.4) 961 69 (7.2) 3.2 (9) 0.012
HPV31 1035 78 (7.5) 961 25 (2.6) 4.9 (4) <0.001
HPV33 972 52 (5.3) 961 71 (7.4) 2.1 (14) 0.076
HPV45 1035 84 (8.1) 961 12 (1.2) 6.9 (3) <0.001
HPV52 960 136 (14.2) 961 156 (16.2) 2.0 (15) 0.227
HPV58 1035 104 (10.0) 961 141 (14.7) 4.7 (5) 0.002
Other HR
HPV35 960 119 (12.4) 961 15 (1.6) 10.8 (1) <0.001
HPV39 960 25 (2.6) 961 22 (2.3) 0.3 (17) 0.661
HPV51 960 62 (6.5) 961 28 (2.9) 3.6 (8) <0.001
HPV53 742 23 (3.1) 961 32 (3.3) 0.2 (18) 0.89
HPV56 972 47 (4.8) 961 16 (1.7) 3.1 (10) <0.001
HPV59 960 33 (3.4) 961 20 (2.1) 2.3 (13) 0.072
HPV66 867 58 (6.7) 961 23 (2.3) 4.4 (6) <0.001
HPV68 897 34 (3.8) 961 9 (0.9) 2.9 (11) <0.001
HPV82 769 27 (3.5) 757 7 (0.9) 2.6 (12) 0.001
LR Type
HPV6 245 20 (8.2) 757 9 (1.2) 7.0 (2) <0.001
HPV11 308 16 (5.2) 757 10 (1.3) 3.9 (7) 0.001
Open in a new tab

Prevalence of HPV types in multiple infection

Considering the general population, significant differences in the prevalence of HPV types were observed between Africa and Asia, except for HPV6 (p< 0.001). High differences were observed between the two continents with regards to HPV16, HPV35, HPV18, HPV31 and HPV53/66 prevalence, in descending order of rank (Table 2). There were no observed differences between African and Asian studies with respect to vaccine hrHPV (p> 0.05) whereas, significant differences were observed between African and Asian studies with respect to non-vaccine hrHPV (p< 0.001). lrHPV showed no differences between African and Asian studies (p> 0.05; Figure 2a). The first five HPV types with the highest involvement in multiple infection in Africa were HPV6, HPV16, HPV11, HPV35 and HPV45 while that of Asia were HPV16, HPV58, HPV33, HPV52 and HPV53, in order of descending rank (Figure 2b).

Figure 2.

Figure 2

Open in a new tab

Frequency of HPV Genotypes in the General Population of Africa and Asia. Figure 2a, Higher prevalence of vaccine and non-vaccine HPV types were found in African than in Asia (p< 0.001) while similar prevalence of lrHPV types was found in Africa and Asia (p> 0.05). Figure 2b, In terms of multiple infection, significant differences were observed between Africa and Asia with regards to HPV58, HPV39, HPV33, HPV35, HPV52, HPV16, HPV53, HPV56, HPV66, HPV51, HPV59, HPV45, HPV68, HPV18 and HPV31, in descending order of rank. No comparison (nc) was carried out in respect to HPV82 due to the fact it was not investigated in the selected Asian studies used for plotting this graph

Prevalence of HPV types among women with cervical abnormalities

The prevalent HPV types in Africa were HPV16, HPV52, HPV35, HPV18 and HPV58 while the prevalent HPV types in Asia were HPV16, HPV52, HPV58, HPV33, and HPV53, in descending order of rank. High significant differences were observed between Africa and Asia with regards to HPV35, HPV6, HPV45, HPV31, HPV58, HPV66 and HPV68, in descending order of rank (Table 3). Result showed a higher prevalence of hrHPV and lrHPV in Africa than in Asia (p< 0.001; Figure 3Ia). It also shows that nonavalent HPV vaccine could prevent the development of 69.3% and 83.2% of HPV attributable cervical abnormalities in Africa and Asia, respectively whereas bivalent and quadrivalent vaccines could prevent the development of about 30% and 40% of HPV associated cervical abnormalities in Africa and Asia, respectively (Figure 3Ib). Cervical abnormalities among Africa women were 68%, 51%, 14%, and 67% more associated with multiple HPV infections, HPV18, HPV38 and HPV59 than the cervical abnormalities found among Asian women, respectively (Figure 3II).

Figure 3I.

Figure 3I

Open in a new tab

a) Frequency Comparison of HPV Genotypes in African and Asian women Irrespective of Cervical Status, b) Prevalence of HPV-associated cervical abnormalities preventable by available vaccines and c) Cumulative frequency comparison of vaccine and Non-vaccine HPV between Africa and Asia with regards to timelines. Figure 3I. No significant difference was observed between Africa and Asia studies in terms of vaccine hrHPV genotypes. However, significance differences were observed between Africa and Asian studies in terms of non-vaccine other hrHPV types and lrHPV16/11 (p< 0.001; Figure 3Ia). Figure 3Ib shows that quadrivalent vaccine may have mild edge over bivalent vaccine in preventing the development of cervical abnormalities both in Africa and Asia while nonavalent vaccine could exert almost twice the effect of bivalent and quadrivalent vaccines in forestalling the development of cervical abnormalities. Figure 3Ic, Cumulatively, as of 2009 and 2017, the prevalence of vaccine and non-vaccine hrHPV were significantly higher in Africa than in Asia (p< 0.001). As of 2009, the prevalence of lrHPV was significantly higher in Africa than in Asia (p< 0.001) while the prevalence of the viruses were similar between both Continents in 2017 at p> 0.05

Figure 3II.

Figure 3II

Open in a new tab

Meta-analysis of the Association between HPV Genotypes and Cancer (Africa versus Asia; derived from table 3). Figure 3II. Cervical abnormalities detected among Africa women were approximately 2 times, 3 times, 4 times, 5 times, 7 times, and 9 times more associated with HPV51, HPV-31/56, HPV-68/82, HPV11, HPV45, HPV-35/6 than the cervical abnormalities detected among Asian women, respectively

Difference in HPV prevalence between 2004-2009 and 2010-2017

Overall, the prevalence of HPV infection in Africa decreased between 2004-2009 and 2010-2017 whereas it increased in Asia between the same periods. Up to 2009, the pooled prevalence of HPV and multiple HPV infections were significantly higher in Africa (49.1% and 32.4%) than in Asia (16.9% and 5.1%, respectively) at p< 0.001. Up to 2009, there were significant differences between Africa and Asia with regards to the prevalence of HPV types in (p≤ 0.01), except for HPV-82 (p> 0.05). Within the same period, the prevalence of vaccine and non-vaccine HPV infection were higher in Africa (5.9% and 3.3%) than in Asia (1.1% and 0.7%, respectively). As of 2010 and later, the pooled prevalence of HPV infection and multiple HPV infection were significantly higher in Africa (36.7% and 14.3%) than in Asia (20.5% and 5.3%, respectively) at p< 0.001. This reveal that the multiple HPV infection decreased by 18.1% in Africa and increased by 0.3% in Africa between the timelines of 2004-2009 to 2010-2017 (Table 4; see supplementary data). No significant difference was observed between the two continents in terms of the prevalence of HPV6 and HPV11 (p> 0.05 and p< 0.05), respectively (Table 4). As of 2010 and later, the prevalence of vaccine and non-vaccine HPV were higher in Africa (5% and 2.5%) than in Asia (1.7% and 0.7%, respectively) at p< 0.001 (Figure 3c). Both in Africa and Asia, the prevalence of HPV16, HPV56, HPV51, HPV39 and HPV45 decreased from 2004 to 2017 (5% versus 16.0%, 1.5% versus 0.3%, 1.3% versus 0.1%, 0.7% versus 0.1%, and 0.6% versus 0.7%, respectively) while the prevalence of HPV53, HPV31, HPV68 and HPV33 increased (1.1% versus 0.2%, 0.9% versus 0.2%, and 0.3% versus 0.8%, and 0.2% versus 0.6%, respectively) from 2004 to 2017. This suggests that among hrHPVs the prevalence of HPV16 decreased the most whereas HPV53 increased the most. In Africa, the prevalence of HPV35, HPV59, HPV58, and HPV52 decreased 2.4%, 2.0%, 1.8%, and 0.4% from 2004-2009 to 2010-2017 while the prevalence of HPV66 and HPV18 increased by 1.3%, and 0.3%, respectively. In Asia, the prevalence of HPV82 and HPV18/66 decreased from 2004-2009 to 2010-2017 by 1.1% and 0.4%, respectively. Conversely, the prevalence of HPV58 and HPV52 increased by 1.5%, and 0.4%, respectively while the prevalence of HPV35 and HPV59 remained unchanged (Table 4; see supplementary data). In Africa, the risk of HPV infection and multiple HPV infections were 66% and approximately 3 times higher in ≤2009 than in ≥2010, respectively whereas in Asia, the risk of HPV infection and multiple HPV infections were 11% and 3% lower in ≤2009 than in ≥2010, respectively (Figure 4I).

Figure 4I.

Figure 4I

Open in a new tab

Prevalence Comparison of HPV Genotypes between ≤2009 and ≥ 2010 Timelines in Africa and Asia. Figure 4I, In Africa, the risk of HPV-52, 45, 58, 35, 39, 51, 16, 56, and 59 infections were 8%, 14%, 52%, 56%, 66%, 74%, 75%, 85%, and approximately 2 times higher in ≤2009 than in ≥2010, respectively whereas in Asia, the risk of HPV-39, 51, 35, 56, 18, 66, 45, and 82 were 11%, 16%, 25%, 29%, 57%, 70%, approximately 4 and 5 times in ≤2009 than in ≥2010, respectively. This suggests that in Africa the risk of HPV-6, 11, 18, 31, 33, 53, 66, 68, and 82 acquisition was higher in ≥2010 than in ≤2009, whereas the risk of HPV-6, 11, 16, 33, 52, 53, 58, 59, and 68 acquisition was higher in ≥2010 than in ≤2009

Prevalence of HPV types in the African sub-regions

The highest and lowest prevalence of HPV infection as well as highest and lowest multiple infections were found in South Africa and Central Africa respectively. South Africa had the highest prevalence of HPV18, HPV45, HPV58, HPV35, HPV39, HPV51, and HPV59 while West Africa had the highest prevalence of HPV52, HPV53, HPV56, HPV66, and HPV82. East Africa had the highest prevalence of HPV31, HPV33, and HPV11 while North Africa had the highest prevalence of HPV16 and HPV6. Central Africa had the highest prevalence of HPV68. North Africa had the lowest prevalence of HPV45, HPV52, HPV58, HPV35, HPV66, HPV68, and HPV82 (Table 5; supplementary data). The pool prevalence of HPV in North, East, Central, West and South Africa were 32.0%, 30.6%, 30.1%, 44.9% and 58.2%, respectively while the prevalence of multiple HPV infections were 9.1%, 24.4%, 3.5%, 20.0% and 26.1%, respectively (see supplementary data). Result showed that the prevalence of non-vaccine hrHPV types were lower in the North and East Africa (Figure 4IIa) while the prevalence of HPV preventable by nonavalent vaccine was higher in both regions than other African sub-regions (Figure 4IIb).

Figure 4II.

Figure 4II

Open in a new tab

HPV Genotypes and HPV Preventable by HPV Vaccines based on African Sub-regions (see supplementary data). Figure 4a shows that the prevalence of non-vaccine (other) hrHPV infection is highest in South Africa but lowest In North Africa. It also shows that the prevalence of vaccine hrHPV infection and lrHPV infection was higher in South Africa and East Africa, respectively while the prevalence of vaccine hrHPV and lrHPV infections were lower in central Africa. Higher differences in prevalence of vaccine and non-vaccine hrHPV types were observed in North and East African sub-regions (p< 0.001). Figure 4b shows that the prevalence of HPV infection preventable by quadrivalent and nonavalent vaccines were higher in North and East Africa than in other African sub-regions

Discussion

The incidence of cervical cancer in a population majorly depends on the prevalence of HPV infection and cervical cancer awareness, extent of high-risk sexual behaviour, prevalence of HPV infection and rate of HPV vaccination (Fitzmaurice et al., 2019; Arbyn et al., 2020; Klein et al., 2020). In Asia, although the rate of vaccination status is low (15.0%), knowledge of risk factors for cervical cancer and willingness to get vaccinated among females aged 19-23 years are high; 98.8% and 92.5%, respectively (Gollu and Gore, 2021). However, in Africa, HPV vaccine coverage in Africa (1.2-4.1%), the knowledge of risk factors for cervical cancer (7.8-11.8%) and willingness to get vaccinated (26.0%-58.8%) among females aged 16-20 years are all low (Ndikom and Oboh, 2017; Kifle et al., 2020). The low HPV vaccine coverage in Africa has been associated with high cost of vaccine and skepticism of its safety (Sopian et al., 2019). Considering the lack of implementation of World Health Organization (WHO) and Center for Disease control and prevention (CDCP)’s recommendations (World Health Organisation, 2014; Center for Disease Control and Prevention, 2019), a high ASIR of cervical cancer is expected in Africa (Arbyn et al., 2020; Klein et al., 2020). However, there is a need to indirectly assess the past and ongoing cervical cancer related interventions. There is also the need to identify major contributors to the high ASIR and ASMR in Africa for appropriate channeling of future interventions following recommendations.

In the general population, this study revealed that HPV16, HPV52 and HPV58 were the most prevalent hrHPV types in Asia whereas HPV16, HPV18 and HPV52 were the most prevalent hrHPV infections in Africa. Considering the prevalence of hrHPV in abnormal cervix, this study revealed striking differences between Africa and Asia with regards to the prevalence of HPV35, HPV45, HPV31, HPV58, and HPV66. According to Hashim et al. (2020), the risk of developing CIN2+/CIN3+ among HPV16 and HPV18 positive women following a regular follow-up of 21 months are 24.4/19.9 and 16.2/10.8, respectively while the risk for women who are positive for other hrHPVs is 9.6/5.5. Based on the latter, the substantial higher prevalence of HPV16 and HPV18 in Africa relative to Asia might also be an explanation for the difference in cervical cancer ASIR between the two continents as revealed by Fitzmaurice et al. (2019) and Arbyn et al. (2020). Considering the fact that HPV16 infection is associated with high mortality among HPV positive women (Zhao et al., 2017), it could be argued that the high prevalence of HPV is linked to the high ASMR or poor prognosis among African women (Chen et al., 2017; Fitzmaurice et al., 2019; Arbyn et al., 2020).

Namujju et al. (2011) stated that HPV16- and HPV18- positive women have 11-22-fold and 45-58 increased risk of acquiring other hrHPVs, respectively. Thus, the higher prevalence of multiple HPV infection observed in Africa relative to Asia could be due to the higher prevalence of HPV16 and HPV18 in African women. The multiple HPV infection could be responsible for the higher ASIR in Africa than in Asia since higher prevalence of multiple infection has been reported in abnormal cervix than in normal cervix (Keita et al., 2009; Piras et al., 2011; Ndizeye et al., 2019). In addition, multiple HPV infection has been linked to increasing prevalence of human immunodeficiency virus (HIV) which in turn contributes significantly to cervical carcinogenesis (Klein et al., 2020). Thus, it could be suggested that the high ASIR of cervical cancer in Africa when compared with Asia stems from a cascade of event beginning from non-vaccine HPV infection and high multiple infection. In this study, South Africa had the highest prevalence of any HPV and multiple HPV infection while Central Africa had the least of both parameters. The difference between the African sub-regions in terms of ASIR of cervical cancer as revealed by Martel et al., (2017) could be due to high multiple HPV infections and HIV infection rate (Hanischa et al., 2013; Taku et al., 2020).

According to Huh et al. (2017), nonavalent vaccine prevents 90% of cervical cancer worldwide. Their estimate is substantially higher than the estimate of this study (69%). This could be attributed to their study not including any participants from African countries. Cervical cancers could be attributed to a single hrHPV type or multiple types such as HPV16, HPV18, HPV31, HPV33, HPV45, HPV52, and HPV58 which are preventable by available vaccines (de Martel et al., 2017). However, the vaccine hrHPV and non-vaccine hrHPV may not be effective in preventing multiple infection mediated cervical cancer involving HPV16/35, HPV16/53, HPV16/66, except in the event of cross-protection. Pirek et al. (2015) stated that there is an increased rate of malignant transformation in women with normal cervix and multiple HPV infection (< 365days) than in women with normal cervix and single HPV infection, hence the need for continual screening, even among vaccinated women and immunocompromised women. Given the high rate of multiple infections in Africa, especially West and South Africa, nonavalent vaccine may offer better protection against cervical cancer than other vaccines. Additionally, the hrHPV type with the highest difference between African and Asian women diagnosed with cervical abnormalities was HPV35. Consequently, the high prevalence of HPV35 and its involvement in multiple infection may account for the higher ASIR in Africa than in Asia (Fitzmaurice et al., 2019; Arbyn et al. 2020). Sadly, none of the available vaccines offer protection against HPV35, the second most prevalent HPV types, which accounts for 12.4% of cervical abnormalities in Africa. Since HPV35 appears to be the major correlate of cervical carcinogenesis in Africa, continual Pap smear screening is recommended.

In this study, between 2004 and 2017, the prevalence of HPV infection and multiple infection decrease by 12.4% and 18.1% in Africa while they increased by 3.5% and 0.2% in Asia, respectively. The reason for the observed decrease in Africa could majorly be due to increasing awareness. On the other hand, considering the fact that the widely distributed vaccine in Africa are bivalent and quadrivalent vaccines (Muñoz et al., 2003; de Martel et al., 2017), the decrease could be attributed to HPV vaccination since the prevalence of HPV16 substantially decreased (5%). Despite the fact that the overall prevalence of HPV infection decreased between 2004 and 2017 in Africa, the prevalence of HPV 33, 18, 6, 11, 82, 68, 31, 53, and 66 increased by 0.2%, 0.3%, 0.4%, 0.5%, 0.5%, 0.8%, 0.9%, 1.1%, and 1.3%, respectively within the same period, majority of the HPV types (56%; 5/9) are not covered by available vaccines. This may severely impact on the prevalence of cervical cancer in Africa. The reason however for the increased prevalence of HPV in Asia from 2004-2017 is still unknown. Interestingly, in Asia and Africa, the prevalence of HPV16 decreased by 16% and 5%, respectively while the following HPV types increased by certain percentage in 2017: HPV31 (0.2% vs 0.9%), HPV53 (0.2% vs 1.1%), HPV33 (0.6% vs 0.2%), HPV68 (0.8% vs 0.7%), HPV11 (1.3% vs 0.5%), and HPV6 (1.7% vs 0.4%, respectively). Differentially, the prevalence of HPV 52 and 58 increased in Asia by 0.5%, and 1.5%, respectively while in Africa the prevalence of HPV 18, 82 and 66 increased by 0.3%, 0.5% and 1.3%, respectively (Table 4). Though the prevalence of HPV 6, 11, 31, 33, 53, and 68 increased in both continents, the findings of this study suggest that if both continents adopt only nonavalent vaccines, it would still take a longer time to eradicate or significantly reduce cervical cancer in Africa than it would in Asia. This reiterates the fact that cervical cancer screening using Pap smear should still be an integral part of preventive measure in order to eliminate the disease in Africa by 2090 (Brisson et al., 2020).

The prevalence of vaccine and non-vaccine hrHPV were higher in South Africa than in other African sub-region while the prevalence of vaccine and non-vaccine hrHPV were lowest in Central Africa and North Africa. This study suggests that majority, over 72%, of cervical cancer attributable to HPV in North and East Africa could be prevented by vaccine, especially by using quadrivalent and nonavalent vaccines. Since 7 out of 12 countries are currently providing HPV vaccination at no cost for girls in East Africa, there is a higher chance of eliminating cervical cancer in the sub-continent by 2090 (Brisson et al., 2020; Njuguna et al., 2020). The findings of this study show that though nonavalent vaccine could prevent approximately 52% of cervical cancer attributable to HPV in Central, Western and Southern Africa, a tangible number of cervical cancer will still be observed in the sub-regions due to high prevalence of non-vaccine hrHPV.

Limitation

No grey literature was identified following our searches. This may constitute a limitation in this study.

In conclusion, This study revealed that the disparity between African and Asian women with regards to ASIR could be linked to high-risk HPV infection and multiple HPV types. It suggests that nonavalent vaccination could prevent over 90% of the cervical abnormalities in Africa.

Author Contribution Statement

This review was carried out and approved in collaboration between all the authors. JOO and AAN conceptualized and developed the study protocol. JOO, AAN, CFC, INO, SIO and ISO identified records for full-text review and data extraction. JOO and AAN drafted the manuscript.

Ethical approval

This study is not part of an approved student thesis. It is exempt from ethical review and approval, since the data that were reviewed and used for meta-analysis were retrieved and synthesized from studies published in indexed journals. Informed consents and ethical clearance were individually sought and obtained by authors of the included articles. Hence, ethical approval to conduct the study was not sought from any scientific bodies.

Supplementary data

Available at: Racial disparities in the prevalence of vaccine and non-vaccine HPV types and multiple HPV infection between Asia and Africa: A systematic review. doi: https://doi.org/10.1101/2020.11.02.20224857

Conflict of interest

The authors declare that they have no financial or personal relationships which may have inappropriately

Conflict of interest

The authors declare that they have no financial or personal relationships which may have inappropriately influenced them in writing this article.

Acknowledgements

None.

References

  1. Akarolo-Anthony SN, Al-Mujtaba M, Famooto AO, et al. HIV associated high-risk HPV infection among Nigerian women. BMC Infect Dis. 2013;13:1–6. doi: 10.1186/1471-2334-13-521. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Al-Lawati Z, Khamis FA, Al-Hamdani A, et al. Prevalence of human papilloma virus in Oman Genotype 82 and 68 are dominating. Int J Infect Dis. 2020;93:22–7. doi: 10.1016/j.ijid.2019.12.038. [DOI] [PubMed] [Google Scholar]
  3. Arbyn M, Weiderpass E, Bruni L, et al. Estimates of incidence and mortality of cervical cancer in 2018: a worldwide analysis. Lancet Global Health. 2020;8:e191–203. doi: 10.1016/S2214-109X(19)30482-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Awua AK, Severini A, Wiredu EK, et al. Self-Collected Specimens Revealed a Higher Vaccine- and Non-Vaccine-Type Human Papillomavirus Prevalences in a Cross-Sectional Study in Akuse. Adv Prev Med. 2020 doi: 10.1155/2020/8343169. Doi: 10.1155/2020/8343169. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Bansal D, Elimi AA, Skariah S, et al. Molecular epidemiology and genotype distribution of Human papillomavirus (HPV) among Arab women in the state of Qatar. J Trans Med. 2014;12:1–9. doi: 10.1186/s12967-014-0300-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Belglaiaa E, Elannaz H, Mouaouya B, et al. Human papillomavirus genotypes among women with or without HIV infection: an epidemiological study of Moroccan women from the Souss area. Infect Agents Cancer. 2015;10:1–10. doi: 10.1186/s13027-015-0040-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Black E, Richmond R. Prevention of Cervical Cancer in Sub-Saharan Africa: The Advantages and Challenges of HPV Vaccination. Vaccines. 2018;6:61. doi: 10.3390/vaccines6030061. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Boumba LMA, Qmichou Z, Mouallif M, et al. Human Papillomavirus Genotypes Distribution by Cervical Cytologic Status among Women Attending the General Hospital of Loandjili, Pointe-Noire, Southwest Congo (Brazzaville) J Med Virol. 2015;87:1769–76. doi: 10.1002/jmv.24221. [DOI] [PubMed] [Google Scholar]
  9. Brisson M, Kim JJ, Canfell K, et al. Impact of HPV vaccination and cervical screening on cervical cancer elimination: a comparative modelling analysis in 78 low-income and lower-middle-income countries. Lancet. 2020;395:575–90. doi: 10.1016/S0140-6736(20)30068-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Canfell K, Caruana M, Gebski V, et al. Cervical screening with primary HPV testing or cytology in a population of women in which those aged 33 years or younger had previously been offered HPV vaccination: Results of the Compass pilot randomised trial. PLoS Med. 2017;14:e1002388. doi: 10.1371/journal.pmed.1002388. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Center for Disease Control and Prevention. Morbidity and Mortality Weekly Report. Human Papillomavirus Vaccination for Adults: Updated Recommendations of the Advisory Committee on immunization Practices. Weekly. 2019;68:698–700. doi: 10.15585/mmwr.mm6832a3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Chen SL, Wang SC, Ho CJ, et al. Prostate cancer mortality-to-incidence ratios are associated with cancer care disparities in 35 countries. Sci Rep. 2017;7:1–6. doi: 10.1038/srep40003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. de Martel C, Plummer M, Vignat J, Franceschi S. Worldwide burden of cancer attributable to HPV by site, country and HPV type. Int J Cancer. 2017;141:664–70. doi: 10.1002/ijc.30716. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Dols JA, Reid G, Brown JM, et al. HPV type distribution and cervical cytology among HIV-positive Tanzanian and South African women. Obstet Gynecol. 2012 doi: 10.5402/2012/514146. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Ezechi OC, Ostergren PO, Nwaokorie FO, et al. The burden, distribution and risk factors for cervical oncogenic human papilloma virus infection in HIV positive Nigerian women. Virol J. 2014;11:5. doi: 10.1186/1743-422X-11-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Fitzmaurice C, Abate D, Abbasi N, et al. Global, regional, and national cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life-years for 29 cancer groups, 1990 to 2017: a systematic analysis for the global burden of disease study. JAMA Oncol. 2019;5:1749–68. doi: 10.1001/jamaoncol.2019.2996. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Ge Y, Zhong S, Ren M, et al. Prevalence of human papillomavirus infection of 65,613 women in East China. BMC Public Health. 2019;19:178. doi: 10.1186/s12889-019-6487-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Ghedira R, Mahfoudh W, Hadhri S, et al. Human papillomavirus genotypes and HPV16 variants distribution among Tunisian women with normal cytology and squamous intraepithelial lesions. Infect Agents Cancer. 2016;11:1–10. doi: 10.1186/s13027-016-0109-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Gollu AN, Gore CA. Knowledge, Awareness and Attitude of Medical Students Regarding HPV Infection and HPV Vaccination. Asian Pac J Cancer Care. 2021;6:41–6. [Google Scholar]
  20. Guthrie BL, Rositch AF, Cooper JA, et al. Human papillomavirus and abnormal cervical lesions among HIV-infected women in HIV-discordant couples from Kenya. Sexually transmitted infections. 2020 doi: 10.1136/sextrans-2019-054052. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Hanischa RA, Sowc PS, Tourec M, et al. Influence of HIV-1 and/or HIV-2 infection and CD4 count on cervical HPV DNA detection in women from Senegal, West Africa. J Clin Virol. 2013;58:696–702. doi: 10.1016/j.jcv.2013.10.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Hashim D, Engesæter B, Skare GB, et al. Real-world data on cervical cancer risk stratification by cytology and HPV genotype to inform the management of HPV-positive women in routine cervical screening. Br J Cancer. 2020;122:1715–23. doi: 10.1038/s41416-020-0790-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Huh WK, Joura EA, Giuliano AR, et al. Final efficacy, immunogenicity, and safety analyses of a nine-valent human papillomavirus vaccine in women aged 16–26 years: a randomised, double-blind trial. Lancet. 2017 doi: 10.1016/S0140-6736(17)31821-4. [DOI] [PubMed] [Google Scholar]
  24. Kantathavorn N, Mahidol C, Sritana N, et al. Genotypic distribution human papillomavirus (HPV) and cervical cytology findings in 5906 Thai women undergoing cervical cancer screening programs. Infect Agent Cancer. 2015 doi: 10.1186/s13027-015-0001-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Keita N, Clifford GM, Koulibaly M, et al. HPV infection in women with and without cervical cancer in Conakry, Guinea. Br J Cancer. 2009;101:202–8. doi: 10.1038/sj.bjc.6605140. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Kesheh MM, Keyvani H. The prevalence of HPV genotypes in Iranian population: An Update. Iran J Pathol. 2019;14:197–205. doi: 10.30699/ijp.2019.90356.1861. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Kifle K, Kebede L, Taye J, et al. Assessment of awareness and attitude on cervical cancer prevention among female preparatory students in Ziway town, Oromia Regional State, Ethiopia. Asian Pac J Cancer Care. 2020;5:265–71. [Google Scholar]
  28. Klein C, Kahesa C, Mwaiselage J, et al. How the cervical microbiota contributes to cervical cancer risk in sub-Saharan Africa. Front Cell Infect Microbiol. 2020;10:23. doi: 10.3389/fcimb.2020.00023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Krings A, Dunyo P, Pesic A, et al. Characterization of HumanPapillomavirus prevalence and risk factors to guide cervical cancer screening in the North Tongu District, Ghana. PLoS One. 2019;14:e0218762. doi: 10.1371/journal.pone.0218762. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Li Z, Liu F, Cheng S, et al. Prevalence of HPV infection among 28,457 Chinese women in Yunnan Province, southwest China. Sci Rep. 2016;6:21039. doi: 10.1038/srep21039. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Liberati A, Altman DG, Tetzlaff J, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. PLoS Med. 2009;62:e1–34. doi: 10.1016/j.jclinepi.2009.06.006. [DOI] [PubMed] [Google Scholar]
  32. Maranga IO, Hampson L, Oliver AW, et al. HIV infection alters the dpectrum of HPV subtypes found in cervical smears and carcinomas from Kenyan women. Open Virol J. 2013;7:19–27. doi: 10.2174/1874357901307010019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Marembo T, Mandishora RD, Borok M. Use of multiplex polymerase chain reaction for detection of high-risk human papillomavirus genotypes in women attending routine cervical cancer screening in Harare. Intervirol. 2019;62:90–5. doi: 10.1159/000502206. [DOI] [PubMed] [Google Scholar]
  34. Mchome BL, Kjaer SK, Manongi R, et al. HPV types, cervical high- grade lesions and risk factors for oncogenic human papillomavirus infection among 3416 Tanzanian women. Sex Transm Infect. 2020;97:56–62. doi: 10.1136/sextrans-2019-054263. [DOI] [PubMed] [Google Scholar]
  35. Menon SS, Rossi R, Harebottle R, et al. Distribution of human papillomaviruses and bacterial vaginosis in HIV positive women with abnormal cytology in Mombasa, Kenya. Infect Agents Cancer. 2016;11:17. doi: 10.1186/s13027-016-0061-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Miyashita M, Agdamag DM, Sasagawa T, et al. High-risk HPV types in lesions of the uterine cervix of female commercial sex workers in the Philippines. J Med Virol. 2009;81:545–51. doi: 10.1002/jmv.21416. [DOI] [PubMed] [Google Scholar]
  37. Moher D, Liberati A, Tetzlaff J, Altman DG, Prisma Group. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6:e1000097. doi: 10.1371/journal.pmed.1000097. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Muderris T, Afsar I, Yıldız A, Varer CA. HPV genotype distribution among women with normal and abnormal cervical cytology in Turkey. Rev Esp Quimioter. 2019;32:516–24. [PMC free article] [PubMed] [Google Scholar]
  39. Muñoz N, Bosch FX, de Sanjosé S, et al. Epidemiologic classification of human papillomavirus types associated with cervical cancer. N Engl J Med. 2003;348:518–27. doi: 10.1056/NEJMoa021641. [DOI] [PubMed] [Google Scholar]
  40. Mutombo AB, Benoy I, Tozin R, et al. Prevalence and distribution of human papillomavirus genotypes among women in Kinshasa, The Democratic Republic of the Congo. J Global Oncol. 2019;5:1–9. doi: 10.1200/JGO.19.00110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Namujju PB, Waterboer T, Banura C, et al. Risk of seropositivity to multiple oncogenic human papillomavirus types among human immunodeficiency virus-positive and -negative Ugandan women. J General Virol. 2011;92:2776–83. doi: 10.1099/vir.0.035923-0. [DOI] [PubMed] [Google Scholar]
  42. Ndikom CM, Oboh PI. Perception, acceptance and uptake of human papillomavirus vaccine among female adolescents in selected secondary schools in Ibadan, Nigeria. Afr J Biomed Res. 2017;20:237–44. [Google Scholar]
  43. Ndizeye Z, Vanden Broeck D, Lebelo RL, et al. Prevalence and genotype-specific distribution of human papillomavirus in Burundi according to HIV status and urban or rural residence and its implicationsfor control. PLoS One. 2019;14:e0209303. doi: 10.1371/journal.pone.0209303. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Njuguna DW, Mahrouseh N, Onisoyonivosekume D, Varga O. National policies to prevent and manage cervical cancer in East African Countries: A Policy Mapping Analysis. Cancers. 2020;12:1520. doi: 10.3390/cancers12061520. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Nyasenu YT, Gbeasor-Komlanvi FA, Issa SA, et al. Prevalence of HPV among HIV-negative women of child-bearing age in Lom´e, Togo. Future Virol. 2019;14:783–90. [Google Scholar]
  46. Obiri-Yeboah D, Akakpo PK, Mutocheluh M, et al. Epidemiology of cervical human papillomavirus (HPV) infection and squamous intraepithelial lesions (SIL) among a cohort of HIV-infected and uninfected Ghanaian women. BMC Cancer. 2017;17:688. doi: 10.1186/s12885-017-3682-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Okolo C, Franceschi S, Adewole I, et al. Human papillomavirus infection in women with and without cervical cancer in Ibadan, Nigeria. Infect Agents Cancer. 2010;5:24. doi: 10.1186/1750-9378-5-24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Park EK, Cho H, Lee SH, et al. Human Papillomavirus Prevalence and Genotype Distribution among HIV-Infected Women in Korea. J Korean Med Sci. 2014;29:32–7. doi: 10.3346/jkms.2014.29.1.32. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Piras F, Piga M, Montis AD, et al. Prevalence of Human Papillomavirus infection in women in Benin, West Africa. Virol J. 2011;8:514. doi: 10.1186/1743-422X-8-514. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Pirek D, Petignat P, Vassilakos P, et al. Human papillomavirus genotype distribution among Cameroonian women with invasive cervical cancer: a retrospective study. Sex Transm Infect. 2015;91:440–4. doi: 10.1136/sextrans-2014-051642. [DOI] [PubMed] [Google Scholar]
  51. Reddy D, Njala J, Stocker P, et al. High-risk human papillomavirus in HIV-infected women undergoing cervical cancer screening in Lilongwe, Malawi: a pilot study. Int J STD AIDS. 2015;26:379–87. doi: 10.1177/0956462414539149. [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Said HM, Ahmed K, Burnett R, et al. HPV genotypes in women with squamous intraepithelial lesions and normal cervixes participating in a community-based microbicide study in Pretoria, South Africa. J Clin Virol. 2009;44:318–21. doi: 10.1016/j.jcv.2009.02.001. [DOI] [PubMed] [Google Scholar]
  53. Sopian MM, Din SAT, Hussin H. Obstacles to Implementing the HPV Vaccine: Is it Worth Pursuing or Not? Asian Pac J Cancer Care. 2019;4:165–9. [Google Scholar]
  54. Sweet K, Bosire C, Sanusi B, et al. Prevalence, incidence, and distribution of human papillomavirus types in female sex workers in Kenya. Int J STD AIDS. 2020;31:109–18. doi: 10.1177/0956462419884454. [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Taku O, Businge CB, Mdaka ML, et al. Human papillomavirus prevalence and risk factors among HIV-negative and HIV-positive women residing in rural Eastern Cape, South Africa. Int J Infect Dis. 2020;95:176–82. doi: 10.1016/j.ijid.2020.02.051. [DOI] [PubMed] [Google Scholar]
  56. Tan SC, Ismail MP, Duski DR, et al. Prevalence and type distribution of human papillomavirus (HPV) in Malaysian women with and without cervical cancer: an updated estimate. Biosci Rep. 2018;38:BSR20171268. doi: 10.1042/BSR20171268. [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Thapa N, Maharjan M, Shrestha G, et al. Prevalence and type-specific distribution of human papillomavirus infection among women in mid-western rural, Nepal- A population-based study. BMC Infect Dis. 2018;18:338. doi: 10.1186/s12879-018-3175-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Van S, Khac MN, Dimberg J, et al. Prevalence of cervical infection and genotype distribution of human papilloma virus among females in Da Nang, Vietnam. Anticancer Res. 2017;37:1243–7. doi: 10.21873/anticanres.11440. [DOI] [PubMed] [Google Scholar]
  59. Vassilakos P, Catarino R, Bougel S, et al. Use of Swabs for dry collection of self-samples to detect human papillomavirus among Malagasy women. Infect Agents Cancer. 2016;11:13. doi: 10.1186/s13027-016-0059-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Vet JNI, de Boer MA, van den Akker BEWN, et al. Prevalence of human papillomavirus in Indonesia: a population-based study in three regions. Br J Cancer. 2008;99:214–8. doi: 10.1038/sj.bjc.6604417. [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Vidal AC, Murphy SK, Hernandez BY, et al. Distribution of HPV genotypes in cervical intraepithelial lesions and cervical cancer in Tanzanian women. Infect Agents Cancer. 2011;6:20. doi: 10.1186/1750-9378-6-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Wang R, Guo XL, Wisman GB, et al. Nationwide prevalence of human papillomavirus infection and viral genotype distribution in 37 cities in China. BMC Infect Dis. 2015;15:257. doi: 10.1186/s12879-015-0998-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Wolday D, Derese M, Gebressellassie S, et al. HPV genotype distribution among women with normal and abnormal cervical cytology presenting in a tertiary gynecology referral Clinic in Ethiopia. Infect Agents Cancer. 2018;13:28. doi: 10.1186/s13027-018-0201-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. World Health Organisation (WHO) Comprehensive Cervical Cancer Control: A Guide to Essential Practice; World Health Organisation: Geneva. 2014. Switzerland; ISBN 978-92 4-154895-3. [PubMed] [Google Scholar]
  65. Yakub MM, Fowotade A, Anaedobe CG, et al. Human papillomavirus correlates of high grade cervical dysplasia among HIV-Infected women at a major treatment centre in Nigeria: a cross-sectional study. Pan Afr Med J. 2019;33:125. doi: 10.11604/pamj.2019.33.125.17589. [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Youssef MA, Abdelsalam L, Harfoush RA, et al. Prevalence of human papilloma virus (HPV) and its genotypes in cervical specimens of Egyptian women by linear array HPV genotyping test. Infect Agents Cancer. 2016;11:6. doi: 10.1186/s13027-016-0053-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Zeng Z, Yang H, Li Z, et al. Distribution of HPV Infection in China: Analysis of 51,345 HPV Genotyping Results from China’s Largest CAP Certified Laboratory. J Cancer. 2016;7:1037. doi: 10.7150/jca.14971. [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Zhang C, Huang C, Zheng X, Pan D. Prevalence of human papillomavirus among Wenzhou women diagnosed with cervical intraepithelial neoplasia and cervical cancer. Infect Agents Cancer. 2018;13:37. doi: 10.1186/s13027-018-0211-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  69. Zhang J, Zhang D, Yang Z, et al. The role of human papillomavirus genotyping for detecting high-grade intraepithelial neoplasia or cancer in HPVpositive women with normal cytology: a study from a hospital in northeastern China. BMC Cancer. 2020;20:443. doi: 10.1186/s12885-020-06935-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  70. Zhao J, Guo Z, Wang Q, et al. Human papillomavirus genotypes associated with cervical precancerous lesions and cancer in the highest area of cervical cancer mortality, Longnan, China. Infect Agents Cancer. 2017;12:8. doi: 10.1186/s13027-017-0116-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  71. Zhong TY, Zhou JC, Hu R, et al. Prevalence of human papillomavirus infection among 71,435 women in Jiangxi Province China. J Infect Public Health. 2017;10:783–88. doi: 10.1016/j.jiph.2017.01.011. [DOI] [PubMed] [Google Scholar]

Articles from Asian Pacific Journal of Cancer Prevention : APJCP are provided here courtesy of West Asia Organization for Cancer Prevention

RESOURCES