JOURNAL ARTICLE
SENSITIVITY ANALYSIS AND IMPACT OF AN IMPERFECT VACCINE OF TWO STRAINS OF HEPATITIS B VIRUS INFECTION.
Published In: Journal of Biological Systems, 2023, v. 31, n. 2. P. 437 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: NAYEEM, J.; PODDER, C. N.; SALEK, M. A. 3 of 3
Abstract
A mathematical model considering two strains of hepatitis B virus (HBV) chronic carriers, to assess the impact of dose-structured imperfect vaccine, in a population, is designed and analyzed. The model is shown to have a locally and globally asymptotically stable disease-free equilibrium (DFE) whenever its associated reproduction number is numerically less than unity. Numerical analysis of the model shows that with the expected 50% minimum efficacy of the first vaccine dose, vaccinating 55% of the susceptible population with the first vaccine dose will be sufficient to effectively control the spread of hepatitis B infection. Such effective control can also be achieved if 50% of the first vaccine dose recipients take the second dose. Threshold analysis reveals that an imperfect HBV vaccine should have positive or negative population-level effect. Latin hypercube sampling–PRCC analysis illustrates that disease transmission rate, birth rate, natural death rate and proportion of children born with maternal immunity are most influential parameters in the disease dynamics. In this paper, the sensitivity analysis based on mathematical and in addition statistical techniques have been performed to determine the significance of the model parameters. It is observed that a number of the parameters play an important role to determine the magnitude of the basic reproduction number. Sensitivity analysis is achieved to determine model parameters' importance in disease dynamics. It is observed that the reproduction number is the most responsive quantity to the potent transmission rate of HBV and in addition also vital to control the spread of the disease. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Biological Systems. 2023/06, Vol. 31, Issue 2, p437
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2023
- ISSN:0218-3390
- DOI:10.1142/S0218339023500158
- Accession Number:164117565
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