Introduction: Human papilloma virus (HPV) is a public health concern because of its association with cervical cancer. Despite the evidence about HPV vaccination benefits, debate persists about the rate of receiving HPV vaccination.

Objective: The main objective of this study is to examine the uptake rate of HPV vaccination among White-American females.

Design and Method: This study analyzed data from the 2015 and 2016 National Health Interview Survey (NHIS), a cross sectional study of non-institutionalized population in the United States. Females aged 18-85 years were included in the survey.

Result: The White-American females odds are (OR=3.84; 95% CI 2.74-5.39) three times higher than males.

Conclusion: Our results highlight the uptake rate of HPV vaccination in preventing cervical cancer among White-American population.

In this study, bifurcation analysis and multi-objective nonlinear model predictive control are performed on a Hepatitis B Virus model. Bifurcation analysis is a powerful mathematical tool used to deal with the nonlinear dynamics of any process. Several factors must be considered, and multiple objectives must be met simultaneously. The MATLAB program MATCONT was used to perform the bifurcation analysis. The MNLMPC calculations were performed using the optimization language PYOMO in conjunction with the state-of-the-art global optimization solvers IPOPT and BARON. The bifurcation analysis revealed the existence of branch points. The MNLMC converged to the Utopia solution. The branch points (which causes multiple steady-state solutions from a singular point) are very beneficial because they enable the Multiobjective nonlinear model predictive control calculations to converge to the Utopia point (the best possible solution) in the model.