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Title : A mathematical model for policy of vaccinating recovered people in controlling the spread of Covid-19 outbreak
Author :

Moh. Mashum Mujur Ihsanjaya (1) Dr. Nanang Susyanto, S.Si., M.Sc., M.Act.Sc. (2)

Date : 19 2023
Keyword : COVID-19,mathematical modeling,vaccination,sensitivity analysis,disease control COVID-19,mathematical modeling,vaccination,sensitivity analysis,disease control
Abstract : In this paper, we develop a mathematical model for the spread of COVID-19 outbreak, taking into account vaccination in susceptible and recovered populations. The model divides the population into eight classes, including susceptible, vaccinated in S class, exposed, infected asymAssumptionptomatic, infected symptomatic, hospitalized, recovery, and vaccinated in recovered class. By applying a vaccine-distribution scenario, we investigate the impact of vaccines on the COVID-19 outbreak. After analyzing the equilibrium point and computing the basic reproduction number, we perform numerical simulation and sensitivity analysis to identify the most influential parameters and evaluate the impact of vaccine distribution on policies to control the spread of COVID-19. Our findings suggest that vaccine distribution can effectively suppress the spread of COVID-19, and increasing the $v$ parameter (vaccine distribution) and $\alpha_1$ parameter (acceleration of detection of undetected infected individuals who have recovered) can help control the outbreak. Moreover, decreasing the contact between vulnerable and infected individuals can lower the $\beta_{1}$ parameter, leading to $R_0<1$, which indicates a disease-free population. This study contributes to understanding the impact of vaccination on the spread of COVID-19 and provides insights for policymakers in developing control strategies.
Group of Knowledge : Matematika
Original Language : English
Level : Internasional
Status :
Published
Document
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1 full_paper.pdf
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2 correspondence.pdf
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3 Bukti-Q2-AIMS Mathematics.pdf
Document Type : Dokumen Pendukung Karya Ilmiah (Hibah, Publikasi, Penelitian, Pengabdian)
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4 Similarity.pdf
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