SEIAS-SEI model on asymptomatic and super infection malaria with imperfect vaccination

Maryam, Hasti and Abdy, Muhammad and Alimuddin Tampa, - and Side, Syafruddin (2021) SEIAS-SEI model on asymptomatic and super infection malaria with imperfect vaccination. In: The 7th International Conference on Mathematics, Science, and Education 2020 (ICMSE 2020), 6 Oktober 2020, Semarang.

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Official URL: https://iopscience.iop.org/article/10.1088/1742-65...

Abstract

The aims of this research are to build a model of SEIAS-SEI on the spread of malaria; analyzing the model; and conducting simulations to predict the number of cases of malaria in disease-free and endemic cases. This research is a theoretical study. This model uses suspected, exposed, infected and acute compartments. Analysis of the model using the matrix generation method, the data used in the simulation is an assumption data to cover the disease-free and endemic malaria cases and the model simulation using Maple. The results obtained are models of SEIRS-SEI in malaria deployments; model analysis generates equilibrium points and basic reproductive numbers to determine the status of malaria deployments in a region. Simulated results provide a sense of the difference between disease-free State and endemic is that there is a decrease in the number of infected and asymptomatic individual groups. In endemic cases, a decrease in the number of infected and asymptomatic individual groups in malaria spread takes a long time. In contrast to disease-free cases, a decline in the number of infected and asymptomatic individuals may take a short time.

Item Type: Conference or Workshop Item (Paper)
Subjects: FMIPA > Matematika
KARYA ILMIAH DOSEN
Universitas Negeri Makassar > KARYA ILMIAH DOSEN
Divisions: FAKULTAS MIPA
Depositing User: Dr. Muhammad Abdy
Date Deposited: 03 Jul 2021 05:08
Last Modified: 19 Jun 2023 14:54
URI: http://eprints.unm.ac.id/id/eprint/20661

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