HPV Screening and Vaccination Strategies in an Unscreened Population: A Mathematical Modeling Study.

TitleHPV Screening and Vaccination Strategies in an Unscreened Population: A Mathematical Modeling Study.
Publication TypeJournal Article
Year of Publication2018
AuthorsMilwid RM, Frascoli F, Steben M, Heffernan JM
JournalBulletin of mathematical biology
Date Published2018 Apr 12
ISSN1522-9602
Abstract

Human papillomavirus (HPV), a sexually transmitted infection, is the necessary cause of cervical cancer, the third most common cancer affecting women worldwide. Prevention and control strategies include vaccination, screening, and treatment. While HPV prevention and control efforts are important worldwide, they are especially important in low-income areas with a high infection rate or high rate of cervical cancer. This study uses mathematical modeling to explore various vaccination and treatment strategies to control for HPV and cervical cancer while using Nepal as a case study. Two sets of deterministic models were created with the goal of understanding the impact of various prevention and control strategies. The first set of models examines the relative importance of screening and vaccination in an unscreened population, while the second set examines various screening scenarios. Partial rank correlation coefficients confirm the importance of screening and treatment in the reduction of HPV infections and cancer cases even when vaccination uptake is high. Results also indicate that less expensive screening technologies can achieve the same overall goal as more expensive screening technologies.

DOI10.1007/s11538-018-0425-3
Alternate JournalBull. Math. Biol.