  Human papillomavirus (HPV) infection is the most common sexually transmitted
infection in the world. Persistent oncogenic Human papillomavirus infection has
been a leading threat to global health and can lead to serious complications
such as cervical cancer. Prevention interventions including vaccination and
screening have been proved effective in reducing the risk of HPV-related
diseases. In recent decades, computational epidemiology has been serving as a
very useful tool to study HPV transmission dynamics and evaluation of
prevention strategies. In this paper, we conduct a comprehensive literature
review on state-of-the-art computational epidemic models for HPV disease
dynamics, transmission dynamics, as well as prevention efforts. We summarise
current research trends, identify gaps in the present literature, and identify
future research directions with potential in accelerating the containment
and/or elimination of HPV infection.
