Objective: This study aimed to investigate the prevalence of human papillomavirus (HPV) infection in Xinjiang, estimate the real-time reproduction number (Rt) of HPV infection, evaluate the effectiveness of local prevention and control policies, and provide a theoretical basis for cervical cancer (CC) control strategies in the region. Methods: Using the R0 package, the R software was employed to estimate the dynamic changes in the real-time reproduction number (Rt) of HPV infection in Xinjiang from January 2015 to December 2019. Four methods—Maximum Likelihood Estimation (ML), Exponential Growth (EG), Sequential Bayesian (SB), and Time-Dependent (TD)—were used to calculate the Rt values. The study compared the results from these methods to determine the most reliable approach for estimating HPV transmission. Results: Among the four methods, the TD method provided the best fit for observed and predicted cases. The estimated overall Rt was 1.1381 (95% CI: 1.0762–1.1972). For the periods 2015–2017 and 2017–2019, the Rt values were 1.2827 and 1.0544, respectively. Notably, the Rt value showed a downward trend after 2017 but remained above 1, indicating continued transmission of HPV. Conclusion: Although HPV infection rates in Xinjiang appear to be decreasing, the persistent Rt values suggest that HPV transmission has not been fully controlled. This highlights the urgent need for strengthened prevention and control measures to reduce HPV-related cervical cancer risk in the region.
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