HPV prevalence and genotype distribution among women in eastern China during the Covid-19 pandemic
Since March 2020, the pandemic caused by SARS-CoV-2 has affected nearly all aspects of daily life. In this study, we investigated the age-stratified prevalence and genotype distribution of human papillomavirus (HPV) among females in Shandong province (eastern China) and aimed to provide guidance on...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2023-01-01
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| Series: | Human Vaccines & Immunotherapeutics |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/21645515.2023.2212571 |
| _version_ | 1797673023468208128 |
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| author | Yongmei Ma Xiyan Xia Wen Zheng Yonggang Dai Xuewei Zhuang |
| author_facet | Yongmei Ma Xiyan Xia Wen Zheng Yonggang Dai Xuewei Zhuang |
| author_sort | Yongmei Ma |
| collection | DOAJ |
| description | Since March 2020, the pandemic caused by SARS-CoV-2 has affected nearly all aspects of daily life. In this study, we investigated the age-stratified prevalence and genotype distribution of human papillomavirus (HPV) among females in Shandong province (eastern China) and aimed to provide guidance on HPV-based cervical cancer screening and vaccination. The distribution of HPV genotypes was analyzed using PCR-Reverse Dot Hybridization. The overall infection rate of HPV was 16.4%, which was dominated by high-risk genotypes. The most prevalent genotype was HPV16 (2.9%), followed by HPV52 (2.3%), HPV53 (1.8%), HPV58 (1.5%), and HPV51 (1.3%). Among the positive cases with HPV infection, single-genotype infection was significantly higher than that of multi-genotype infection. In subgroup analyses by age (≤25, 26–35, 36–45, 46–55, >55), HPV16, 52, and 53 were consistently the three most common hrHPV genotypes in all age groups. The infection rate of multi-genotypes in the ≤25 and >55 age groups was significantly higher than that in other age groups. A bimodal distribution of HPV infection rate was observed in different age groups. Among lrHPV genotypes, HPV6, HPV11, and HPV81 were the three most common types in the ≤25 age group, while in other age groups, HPV81, HPV42, and HPV43 are the three most common lrHPV genotypes. This study provides basic information on the distribution and genotypes of HPV in the female population in eastern China, which could improve the application of HPV diagnostic probes and vaccines. |
| first_indexed | 2024-03-11T21:39:25Z |
| format | Article |
| id | doaj.art-0bd03a33456d4a36826cadf9cb5d54da |
| institution | Directory Open Access Journal |
| issn | 2164-5515 2164-554X |
| language | English |
| last_indexed | 2024-03-11T21:39:25Z |
| publishDate | 2023-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Human Vaccines & Immunotherapeutics |
| spelling | doaj.art-0bd03a33456d4a36826cadf9cb5d54da2023-09-26T13:25:50ZengTaylor & Francis GroupHuman Vaccines & Immunotherapeutics2164-55152164-554X2023-01-0119110.1080/21645515.2023.22125712212571HPV prevalence and genotype distribution among women in eastern China during the Covid-19 pandemicYongmei Ma0Xiyan Xia1Wen Zheng2Yonggang Dai3Xuewei Zhuang4Shandong Provincial Third Hospital, Shandong UniversityJinan Vocational College of NursingShandong Provincial Third Hospital, Shandong UniversityShandong Provincial Third Hospital, Shandong UniversityShandong Provincial Third Hospital, Shandong UniversitySince March 2020, the pandemic caused by SARS-CoV-2 has affected nearly all aspects of daily life. In this study, we investigated the age-stratified prevalence and genotype distribution of human papillomavirus (HPV) among females in Shandong province (eastern China) and aimed to provide guidance on HPV-based cervical cancer screening and vaccination. The distribution of HPV genotypes was analyzed using PCR-Reverse Dot Hybridization. The overall infection rate of HPV was 16.4%, which was dominated by high-risk genotypes. The most prevalent genotype was HPV16 (2.9%), followed by HPV52 (2.3%), HPV53 (1.8%), HPV58 (1.5%), and HPV51 (1.3%). Among the positive cases with HPV infection, single-genotype infection was significantly higher than that of multi-genotype infection. In subgroup analyses by age (≤25, 26–35, 36–45, 46–55, >55), HPV16, 52, and 53 were consistently the three most common hrHPV genotypes in all age groups. The infection rate of multi-genotypes in the ≤25 and >55 age groups was significantly higher than that in other age groups. A bimodal distribution of HPV infection rate was observed in different age groups. Among lrHPV genotypes, HPV6, HPV11, and HPV81 were the three most common types in the ≤25 age group, while in other age groups, HPV81, HPV42, and HPV43 are the three most common lrHPV genotypes. This study provides basic information on the distribution and genotypes of HPV in the female population in eastern China, which could improve the application of HPV diagnostic probes and vaccines.http://dx.doi.org/10.1080/21645515.2023.2212571human papillomavirusinfection rategenotype distributionshandongcovid-19 |
| spellingShingle | Yongmei Ma Xiyan Xia Wen Zheng Yonggang Dai Xuewei Zhuang HPV prevalence and genotype distribution among women in eastern China during the Covid-19 pandemic Human Vaccines & Immunotherapeutics human papillomavirus infection rate genotype distribution shandong covid-19 |
| title | HPV prevalence and genotype distribution among women in eastern China during the Covid-19 pandemic |
| title_full | HPV prevalence and genotype distribution among women in eastern China during the Covid-19 pandemic |
| title_fullStr | HPV prevalence and genotype distribution among women in eastern China during the Covid-19 pandemic |
| title_full_unstemmed | HPV prevalence and genotype distribution among women in eastern China during the Covid-19 pandemic |
| title_short | HPV prevalence and genotype distribution among women in eastern China during the Covid-19 pandemic |
| title_sort | hpv prevalence and genotype distribution among women in eastern china during the covid 19 pandemic |
| topic | human papillomavirus infection rate genotype distribution shandong covid-19 |
| url | http://dx.doi.org/10.1080/21645515.2023.2212571 |
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