Assessing the Impact of Methodological Assumptions on Estimated Age of Disease-Causal Human Papillomavirus Infection in US Females
We adapted a previous discrete event simulation model to assess the impact of varying time distributions from disease-causal human papillomavirus (HPV) infection to CIN2+ onset on the estimated age distribution of disease-casual infection in the United States. Differences in these assumptions had minimal effect on estimates, underscoring the importance of expanded HPV vaccination.
Authors
- Xuedan You (ORCID: https://orcid.org/0000-0002-2551-9111)
- Miriam Reuschenbach (ORCID: https://orcid.org/0000-0003-4268-6250)
- Ruifeng Xu (ORCID: https://orcid.org/0000-0002-4009-5679)
- Craig S. Roberts (ORCID: https://orcid.org/0000-0002-5852-9770)
- Alhaji Cherif (ORCID: https://orcid.org/0000-0001-8654-2772)
- Ya-Ting Chen
- J.R. Cook (ORCID: https://orcid.org/0000-0001-8758-8326)
Institutions
- Merck & Co., Inc., Rahway, NJ, USA (United States) (US)
- MSD (Germany) (DE)
- Decision Sciences (United States) (US)
- The School of Theoretical Modeling (US)
Publication Details
- Journal
- Open Forum Infectious Diseases
- Published
- 2025-08-29
- DOI
- https://doi.org/10.1093/ofid/ofaf548
- Primary Topic
- Cervical Cancer and HPV Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00