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Mathematical prediction for measles using Seir Model / Muhammad Lokman Mohd Zulkifli and Nur Syafiqah Din

This Final Year Project focusing in solving and study of the susceptible, exposed, infected and recovered model (S,E,I,R) or measles disease. This project is based on the prediction of (S,E,I,R) measles models. which are used to study the overall to achieve the title and solve the objective Measles...

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Main Authors: Mohd Zulkifli, Muhammad Lokman, Din, Nur Syafiqah
Format: Student Project
Language:English
Published: 2022
Subjects:
Mathematical statistics. Probabilities
Data processing
Prediction analysis
Online Access:https://ir.uitm.edu.my/id/eprint/72440/1/72440.pdf
https://ir.uitm.edu.my/id/eprint/72440/
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spelling my.uitm.ir.724402023-05-26T03:21:49Z https://ir.uitm.edu.my/id/eprint/72440/ Mathematical prediction for measles using Seir Model / Muhammad Lokman Mohd Zulkifli and Nur Syafiqah Din Mohd Zulkifli, Muhammad Lokman Din, Nur Syafiqah Mathematical statistics. Probabilities Data processing Prediction analysis This Final Year Project focusing in solving and study of the susceptible, exposed, infected and recovered model (S,E,I,R) or measles disease. This project is based on the prediction of (S,E,I,R) measles models. which are used to study the overall to achieve the title and solve the objective Measles is the higher contagious that ca spread in community population depending in the number of people susceptible or infected and depending in their movement in a community. Measles disease data are mostly the lending cases population in England and Wales for 2017. Firstly, this project formulate the S,E,1,R model of measles by refer to main article. The parameter of model like B. β, μ: α, σ, and γ are used to formulate into the model. The parameter using for represent of the description of measles model. Furthermore. this project continue to investigate the stability analysis of disease free equilibrium and endemic equilibrium. Before proving the solution to obtained the final answer. investigation of main research is make to show step by step. In solving the analysis stability. re productive number are prove using jacobian matrix to show the reproductive number is disease free equilibrium which is smaller than zero. Next, stability analysis for disease free equilibrium and endemic equilibrium are showed and both system are stable which is the values of λ are negative Finally. prediction for measles cases are shown using Maple software. Data 2017 are used in the result and prediction until 20027 also shown. Graph between S,E,I,R model and time in 10 years shown in Figure 5.5. Prediction cases for 10 years shown a improvement because of vaccination. Overall, cases for all model were decrease. 2022-08 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/72440/1/72440.pdf Mathematical prediction for measles using Seir Model / Muhammad Lokman Mohd Zulkifli and Nur Syafiqah Din. (2022) [Student Project] <http://terminalib.uitm.edu.my/72440.pdf> (Submitted)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Mathematical statistics. Probabilities
Data processing
Prediction analysis
spellingShingle Mathematical statistics. Probabilities
Data processing
Prediction analysis
Mohd Zulkifli, Muhammad Lokman
Din, Nur Syafiqah
Mathematical prediction for measles using Seir Model / Muhammad Lokman Mohd Zulkifli and Nur Syafiqah Din
description This Final Year Project focusing in solving and study of the susceptible, exposed, infected and recovered model (S,E,I,R) or measles disease. This project is based on the prediction of (S,E,I,R) measles models. which are used to study the overall to achieve the title and solve the objective Measles is the higher contagious that ca spread in community population depending in the number of people susceptible or infected and depending in their movement in a community. Measles disease data are mostly the lending cases population in England and Wales for 2017. Firstly, this project formulate the S,E,1,R model of measles by refer to main article. The parameter of model like B. β, μ: α, σ, and γ are used to formulate into the model. The parameter using for represent of the description of measles model. Furthermore. this project continue to investigate the stability analysis of disease free equilibrium and endemic equilibrium. Before proving the solution to obtained the final answer. investigation of main research is make to show step by step. In solving the analysis stability. re productive number are prove using jacobian matrix to show the reproductive number is disease free equilibrium which is smaller than zero. Next, stability analysis for disease free equilibrium and endemic equilibrium are showed and both system are stable which is the values of λ are negative Finally. prediction for measles cases are shown using Maple software. Data 2017 are used in the result and prediction until 20027 also shown. Graph between S,E,I,R model and time in 10 years shown in Figure 5.5. Prediction cases for 10 years shown a improvement because of vaccination. Overall, cases for all model were decrease.
format Student Project
author Mohd Zulkifli, Muhammad Lokman
Din, Nur Syafiqah
author_facet Mohd Zulkifli, Muhammad Lokman
Din, Nur Syafiqah
author_sort Mohd Zulkifli, Muhammad Lokman
title Mathematical prediction for measles using Seir Model / Muhammad Lokman Mohd Zulkifli and Nur Syafiqah Din
title_short Mathematical prediction for measles using Seir Model / Muhammad Lokman Mohd Zulkifli and Nur Syafiqah Din
title_full Mathematical prediction for measles using Seir Model / Muhammad Lokman Mohd Zulkifli and Nur Syafiqah Din
title_fullStr Mathematical prediction for measles using Seir Model / Muhammad Lokman Mohd Zulkifli and Nur Syafiqah Din
title_full_unstemmed Mathematical prediction for measles using Seir Model / Muhammad Lokman Mohd Zulkifli and Nur Syafiqah Din
title_sort mathematical prediction for measles using seir model / muhammad lokman mohd zulkifli and nur syafiqah din
publishDate 2022
url https://ir.uitm.edu.my/id/eprint/72440/1/72440.pdf
https://ir.uitm.edu.my/id/eprint/72440/
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score 13.211869

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