Dynamic Random Network Model for Human Papilloma Virus Transmission
Abstract
Human Papilloma Virus (HPV) is a widespread sexually transmitted disease which can
lead to cervical cancer. Understanding the factors influencing HPV transmission has
been a challenge for scientists and policy makers. We have found that previous modeling
studies have not sufficiently accounted for the structural and temporal features of
the sexual networks underlying HPV transmission. The aim of this study is to investigate
HPV transmission processes and vaccination strategies with a dynamic relationship-based
transmission model. We calibrate the epidemic model with real-world network data,
and study the transmission processes with different network parameters and transmission
rates. We show that a pure vaccination strategy (vaccinating only one gender) is most
efficient if female-to-male and male-to-female transmission rates are equal. However,
there has been recent evidence in the literature indicating that female-to-male transmission
rate might be higher. Incorporating these findings into our model lead to the conclusion
that male vaccination is more effective. Finally, based on our simulation results,
we provide some suggestions for optimal HPV vaccination strategies.
Type
Honors thesisDepartment
MathematicsPermalink
https://hdl.handle.net/10161/9611Citation
Jiang, Xiaoyu (2015). Dynamic Random Network Model for Human Papilloma Virus Transmission. Honors thesis, Duke University. Retrieved from https://hdl.handle.net/10161/9611.Collections
More Info
Show full item record
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 United States License.
Rights for Collection: Undergraduate Honors Theses and Student papers
Works are deposited here by their authors, and represent their research and opinions, not that of Duke University. Some materials and descriptions may include offensive content. More info