Epidemiological Analysis of HPV Infection in Zhangjiagang, Southern Jiangsu Province of China: A Cross‐Sectional Study

An examination of the fluctuating rates of the human papillomavirus (HPV) prevalence and the allocation of various genotypes could assist in the implementation of targeted strategies for the prevention and treatment of cervical cancer. The present study was aimed at evaluating the prevalence of HPV and genotype distribution among female populations in Zhangjiagang, Jiangsu Province, China. A total of 62,036 patients from the Affiliated Zhangjiagang Hospital of Soochow University provided clinical specimens between January 2022 and August 2023, and 12,144 women were infected with HPV, with an overall positive rate of 19.58%. The most prevalent HR-HPV types were HPV52 (4.14%), HPV16 (2.44%), HPV53 (2.37%), HPV58 (2.37%), and HPV56 (1.50%). In the low-risk group, the highest infection rate was HPV81 (1.76%). The prevalence of HPV infection showed a "U"-shaped curve. In addition to the adolescent group, other age groups are mainly single infection. And the gynecology clinic group had much higher rates of HPV positivity compared to the physical examination group (<i>p</i> < 0.001). Our study suggests that HPV screening and vaccination in young women are highly necessary, and 9-valent HPV vaccine is recommended for regular immunization in Zhangjiagang city.

Authors

Institutions

Publication Details

Journal
International Journal of Microbiology
Published
2025-01-01
DOI
https://doi.org/10.1155/ijm/5576260
Citations
1
Primary Topic
Cervical Cancer and HPV Research
Type
article
Field-Weighted Citation Impact
1.35

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Epidemiological Analysis of HPV Infection in Zhangjiagang, Southern Jiangsu Province of China: A Cross‐Sectional Study

Xiaojue Zhu, Guoxin Xu, Rui Qin
1 citations
International Journal of Microbiology
Cervical Cancer and HPV Research
1.35
article

Epidemiological Analysis of HPV Infection in Zhangjiagang, Southern Jiangsu Province of China: A Cross‐Sectional Study

Xiaojue Zhu, Guoxin Xu, Rui Qin
article en
1 citations

Abstract

An examination of the fluctuating rates of the human papillomavirus (HPV) prevalence and the allocation of various genotypes could assist in the implementation of targeted strategies for the prevention and treatment of cervical cancer. The present study was aimed at evaluating the prevalence of HPV and genotype distribution among female populations in Zhangjiagang, Jiangsu Province, China. A total of 62,036 patients from the Affiliated Zhangjiagang Hospital of Soochow University provided clinical specimens between January 2022 and August 2023, and 12,144 women were infected with HPV, with an overall positive rate of 19.58%. The most prevalent HR-HPV types were HPV52 (4.14%), HPV16 (2.44%), HPV53 (2.37%), HPV58 (2.37%), and HPV56 (1.50%). In the low-risk group, the highest infection rate was HPV81 (1.76%). The prevalence of HPV infection showed a "U"-shaped curve. In addition to the adolescent group, other age groups are mainly single infection. And the gynecology clinic group had much higher rates of HPV positivity compared to the physical examination group (<i>p</i> < 0.001). Our study suggests that HPV screening and vaccination in young women are highly necessary, and 9-valent HPV vaccine is recommended for regular immunization in Zhangjiagang city.

International Journal of MicrobiologyVol. 2025(1)
Soochow University (CN), Second Affiliated Hospital of Soochow University (CN), First Affiliated Hospital of Soochow University (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 21%
Cervical Cancer and HPV Research
1.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.