• Skip to main content
  • Skip to after header navigation
  • Skip to site footer
ERN: Emerging Researchers National Conference in STEM

ERN: Emerging Researchers National Conference in STEM

  • About
    • About AAAS
    • About the NSF
    • About the Conference
    • Partners/Supporters
    • Project Team
  • Conference
  • Abstracts
    • Undergraduate Abstract Locator
    • Graduate Abstract Locator
    • Abstract Submission Process
    • Presentation Schedules
    • Abstract Submission Guidelines
    • Presentation Guidelines
  • Travel Awards
  • Resources
    • Award Winners
    • Code of Conduct-AAAS Meetings
    • Code of Conduct-ERN Conference
    • Conference Agenda
    • Conference Materials
    • Conference Program Books
    • ERN Photo Galleries
    • Events | Opportunities
    • Exhibitor Info
    • HBCU-UP/CREST PI/PD Meeting
    • In the News
    • NSF Harassment Policy
    • Plenary Session Videos
    • Professional Development
    • Science Careers Handbook
    • Additional Resources
    • Archives
  • Engage
    • Webinars
    • ERN 10-Year Anniversary Videos
    • Plenary Session Videos
  • Contact Us
  • Login

Compartmental Modeling of Human Papilloma Virus Epidemic Infecting College Students

Undergraduate #244
Discipline: Mathematics and Statistics
Subcategory: Mathematics and Statistics

Aleta Allen - Norfolk State University
Co-Author(s): Alexandria Hood, Norfolk State University, Norfolk, VA



Human Papilloma Virus (HPV) is a sexual transmitted disease that is rising among college students. Almost 75% of new HPV infections occur in people between 15 and 24 years old. Many college students are not being informed on what and how they may contract HPV. In this study, a compartmental model will be developed to show how HPV is transmitted in the college student population. Using a modified susceptible, infectious and recovered model (SIR), the effect of social behavior is considered in the transmission of HPV among college students. The model also considers contact tracing which is used to determine how the disease is spread and how it can be reduced. The basic reproductive number, Ro, is determined using the Next Generation Operator (NGO) method. Typically, if Ro is less than one the disease will die out, but if the Ro is greater than one we will see a rise in the disease outbreak. Sensitivity analysis is performed to determine how sensitive Ro is with respect to the model parameters. These insights help in controlling the transmission of HPV among our population. The results of this study are also represented using numerical analysis to show various scenarios of the epidemic of HPV among college students. Further investigation of the model will include the existence of bifurcation, how the HPV vaccination affects the model and whether different age groups are significant in the transmission.

Funder Acknowledgement(s): The authors would like to thank our professor and mentor Dr. Aprillya Lanz, for her continuous support during the process of this program. We acknowledge the support of the National Science Foundation HBCU-UP Research Initiation Grant- 1505498.

Faculty Advisor: Aprillya Lanz,

Sidebar

Abstract Locators

  • Undergraduate Abstract Locator
  • Graduate Abstract Locator

This material is based upon work supported by the National Science Foundation (NSF) under Grant No. DUE-1930047. Any opinions, findings, interpretations, conclusions or recommendations expressed in this material are those of its authors and do not represent the views of the AAAS Board of Directors, the Council of AAAS, AAAS’ membership or the National Science Foundation.

AAAS

1200 New York Ave, NW
Washington,DC 20005
202-326-6400
Contact Us
About Us

  • LinkedIn
  • Facebook
  • Instagram
  • Twitter
  • YouTube

The World’s Largest General Scientific Society

Useful Links

  • Membership
  • Careers at AAAS
  • Privacy Policy
  • Terms of Use

Focus Areas

  • Science Education
  • Science Diplomacy
  • Public Engagement
  • Careers in STEM

Focus Areas

  • Shaping Science Policy
  • Advocacy for Evidence
  • R&D Budget Analysis
  • Human Rights, Ethics & Law

© 2023 American Association for the Advancement of Science