ANALYSIS AND OPTIMAL CONTROL OF TUBERCULOSIS DISEASE SPREAD MODEL WITH VACCINATION AND CASE FINDING CONTROL (CASE STUDY: SURABAYA CITY)
Tuberculosis is a contagious disease that infects humans. It is caused by the bacterium Mycobacterium tuberculosis (M.tb). It is the largest infectious disease in the world and has become a major global health problem. Therefore, efforts are being made to control the spread of tuberculosis disease t...
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Universitas Pattimura
2024-05-01
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| Series: | Barekeng |
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| Online Access: | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/12095 |
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| author | Dinda Anisa' Maulina Chairul Imron |
| author_facet | Dinda Anisa' Maulina Chairul Imron |
| author_sort | Dinda Anisa' Maulina |
| collection | DOAJ |
| description | Tuberculosis is a contagious disease that infects humans. It is caused by the bacterium Mycobacterium tuberculosis (M.tb). It is the largest infectious disease in the world and has become a major global health problem. Therefore, efforts are being made to control the spread of tuberculosis disease through vaccination and case finding, with the aim of reducing the population of latently infected and actively infected individuals. This study discusses the mathematical model of tuberculosis disease spread, disease-free and endemic equilibrium points, and stability analysis around the equilibrium points. Then, using Pontryagin's minimum principle, the optimal control problem is solved numerically by the 4th-order Runge-Kutta method. Based on the analysis and simulation results, the system is asymptotically stable around the disease-free and endemic equilibrium points. Furthermore, optimal control in the form of vaccination of susceptible individuals is required to further suppress the rate of change of susceptible individuals into latent individuals, while control in the form of case finding on latently infected individuals is required until the 9th year to minimize the population size, while on actively infected individuals, it is required until the 8th year to minimize the population size. Providing optimal control resulted in a 100% increase in the susceptible population and a 100% reduction in the latent and infected populations. |
| format | Article |
| id | doaj-art-99f3d5c3b12f42bf86fbec8ed167f4b2 |
| institution | DOAJ |
| issn | 1978-7227 2615-3017 |
| language | English |
| publishDate | 2024-05-01 |
| publisher | Universitas Pattimura |
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| series | Barekeng |
| spelling | doaj-art-99f3d5c3b12f42bf86fbec8ed167f4b22025-08-20T03:05:31ZengUniversitas PattimuraBarekeng1978-72272615-30172024-05-011821189120010.30598/barekengvol18iss2pp1189-120012095ANALYSIS AND OPTIMAL CONTROL OF TUBERCULOSIS DISEASE SPREAD MODEL WITH VACCINATION AND CASE FINDING CONTROL (CASE STUDY: SURABAYA CITY)Dinda Anisa' Maulina0Chairul Imron1Department of Mathematics, Faculty of Science and Data Analytics, Institute of Technology Sepuluh Nopember, IndonesiaDepartment of Mathematics, Faculty of Science and Data Analytics, Institute of Technology Sepuluh Nopember, IndonesiaTuberculosis is a contagious disease that infects humans. It is caused by the bacterium Mycobacterium tuberculosis (M.tb). It is the largest infectious disease in the world and has become a major global health problem. Therefore, efforts are being made to control the spread of tuberculosis disease through vaccination and case finding, with the aim of reducing the population of latently infected and actively infected individuals. This study discusses the mathematical model of tuberculosis disease spread, disease-free and endemic equilibrium points, and stability analysis around the equilibrium points. Then, using Pontryagin's minimum principle, the optimal control problem is solved numerically by the 4th-order Runge-Kutta method. Based on the analysis and simulation results, the system is asymptotically stable around the disease-free and endemic equilibrium points. Furthermore, optimal control in the form of vaccination of susceptible individuals is required to further suppress the rate of change of susceptible individuals into latent individuals, while control in the form of case finding on latently infected individuals is required until the 9th year to minimize the population size, while on actively infected individuals, it is required until the 8th year to minimize the population size. Providing optimal control resulted in a 100% increase in the susceptible population and a 100% reduction in the latent and infected populations.https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/12095tuberculosisoptimal controlpontryagin's minimum principle |
| spellingShingle | Dinda Anisa' Maulina Chairul Imron ANALYSIS AND OPTIMAL CONTROL OF TUBERCULOSIS DISEASE SPREAD MODEL WITH VACCINATION AND CASE FINDING CONTROL (CASE STUDY: SURABAYA CITY) Barekeng tuberculosis optimal control pontryagin's minimum principle |
| title | ANALYSIS AND OPTIMAL CONTROL OF TUBERCULOSIS DISEASE SPREAD MODEL WITH VACCINATION AND CASE FINDING CONTROL (CASE STUDY: SURABAYA CITY) |
| title_full | ANALYSIS AND OPTIMAL CONTROL OF TUBERCULOSIS DISEASE SPREAD MODEL WITH VACCINATION AND CASE FINDING CONTROL (CASE STUDY: SURABAYA CITY) |
| title_fullStr | ANALYSIS AND OPTIMAL CONTROL OF TUBERCULOSIS DISEASE SPREAD MODEL WITH VACCINATION AND CASE FINDING CONTROL (CASE STUDY: SURABAYA CITY) |
| title_full_unstemmed | ANALYSIS AND OPTIMAL CONTROL OF TUBERCULOSIS DISEASE SPREAD MODEL WITH VACCINATION AND CASE FINDING CONTROL (CASE STUDY: SURABAYA CITY) |
| title_short | ANALYSIS AND OPTIMAL CONTROL OF TUBERCULOSIS DISEASE SPREAD MODEL WITH VACCINATION AND CASE FINDING CONTROL (CASE STUDY: SURABAYA CITY) |
| title_sort | analysis and optimal control of tuberculosis disease spread model with vaccination and case finding control case study surabaya city |
| topic | tuberculosis optimal control pontryagin's minimum principle |
| url | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/12095 |
| work_keys_str_mv | AT dindaanisamaulina analysisandoptimalcontroloftuberculosisdiseasespreadmodelwithvaccinationandcasefindingcontrolcasestudysurabayacity AT chairulimron analysisandoptimalcontroloftuberculosisdiseasespreadmodelwithvaccinationandcasefindingcontrolcasestudysurabayacity |