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Mathematical Modelling in Health, Social and Applied Sciences

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Cover of 'Mathematical Modelling in Health, Social and Applied Sciences'

Table of Contents

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    Book Overview
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    Chapter 1 Viral Immunology: Modeling and Analysis
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    Chapter 2 Modeling the Stochastic Dynamics of Influenza Epidemics with Vaccination Control, and the Maximum Likelihood Estimation of Model Parameters
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    Chapter 3 A Two-Dimensional Dynamical System for Local Transmission of Dengue with Time Invariant Mosquito Density
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    Chapter 4 A Mathematical Study of a Model for HPV with Two High-Risk Strains
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    Chapter 5 The Impact of Fractional Differentiation in Terms of Fitting for a Prostate Cancer Model Under Intermittent Androgen Suppression Therapy
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    Chapter 6 Toward the Realization of the “Europe 2020” Agenda for Economic Growth in the European Union: An Empirical Analysis Based on Goal Programming
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    Chapter 7 On the Poincaré-Andronov-Melnikov Method for Modelling of Grazing Periodic Solutions in Discontinuous Systems
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    Chapter 8 Modelling and Analysis of Predation System with Nonlocal and Nonsingular Operator
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    Chapter 9 New Aspects of Fractional Epidemiological Model for Computer Viruses with Mittag–Leffler Law
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    Chapter 10 Numerical Simulation of Nonlinear Ecological Models with Nonlocal and Nonsingular Fractional Derivative
Attention for Chapter 4: A Mathematical Study of a Model for HPV with Two High-Risk Strains
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Citations

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Chapter title
A Mathematical Study of a Model for HPV with Two High-Risk Strains
Chapter number 4
Book title
Mathematical Modelling in Health, Social and Applied Sciences
Published by
Springer, Singapore, March 2020
DOI 10.1007/978-981-15-2286-4_4
Book ISBNs
978-9-81-152285-7, 978-9-81-152286-4
Authors

A. Omame, D. Okuonghae, S. C. Inyama, Omame, A., Okuonghae, D., Inyama, S. C.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 67%
Student > Postgraduate 1 33%
Readers by discipline Count As %
Mathematics 3 100%

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