Minsoo Kim Kim, Eunjung 2024-03-28T06:00:04Z 2024-03-28T06:00:04Z 2024-03-28 2024-04 0146-6615 https://pubs.kist.re.kr/handle/201004/149533 Human papillomavirus (HPV) infection poses a significant risk to women's health by causing cervical cancer. In addition to HPV, cervical cancer incidence rates can be influenced by various factors, including human immunodeficiency virus and herpes, as well as screening policy. In this study, a mathematical model with stochastic processes was developed to analyze HPV transmission between genders and its subsequent impact on cervical cancer incidence. The model simulations suggest that both-gender vaccination is far more effective than female-only vaccination in preventing an increase in cervical cancer incidence. With increasing stochasticity, the difference between the number of patients in the vaccinated group and the number in the nonvaccinated group diminishes. To distinguish the patient population distribution of the vaccinated from the nonvaccinated, we calculated effect size (Cohen's distance) in addition to Student's t-test. The model analysis suggests a threshold vaccination rate for both genders for a clear reduction of cancer incidence when significant stochastic factors are present. English John Wiley & Sons Inc. Effective vaccination strategies for human papillomavirus (HPV) infection and cervical cancer based on the mathematical model with a stochastic process Article 10.1002/jmv.29558 1 Journal of Medical Virology, v.96, no.4 Journal of Medical Virology 96 4 N scie scopus 001262910300056 Virology Virology Article SQUAMOUS INTRAEPITHELIAL LESIONS UNITED-STATES ECONOMIC-IMPACT NATURAL-HISTORY EFFICACY WOMEN stochastic process vaccination cervical cancer human papillomavirus (HPV)