Global dynamics of SARS-CoV-2/malaria model with antibody immune response
Coronavirus disease 2019 (COVID-19) is a new viral disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Malaria is a parasitic disease caused by Plasmodium parasites. In this paper, we explore a within-host model of SARS-CoV-2/malaria coinfection. This model consists of se...
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| Format: | Article |
| Language: | English |
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AIMS Press
2022-06-01
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| Series: | Mathematical Biosciences and Engineering |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2022390?viewType=HTML |
| _version_ | 1811242656254132224 |
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| author | A. D. Al Agha A. M. Elaiw |
| author_facet | A. D. Al Agha A. M. Elaiw |
| author_sort | A. D. Al Agha |
| collection | DOAJ |
| description | Coronavirus disease 2019 (COVID-19) is a new viral disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Malaria is a parasitic disease caused by Plasmodium parasites. In this paper, we explore a within-host model of SARS-CoV-2/malaria coinfection. This model consists of seven ordinary differential equations that study the interactions between uninfected red blood cells, infected red blood cells, free merozoites, uninfected epithelial cells, infected epithelial cells, free SARS-CoV-2 particles, and antibodies. We show that the model has bounded and nonnegative solutions. We compute all steady state points and derive their existence conditions. We use appropriate Lyapunov functions to confirm the global stability of all steady states. We enhance the reliability of the theoretical results by performing numerical simulations. The steady states reflect the monoinfection and coinfection with malaria and SARS-CoV-2. The shared immune response reduces the concentrations of malaria merozoites and SARS-CoV-2 particles in coinfected patients. This response reduces the severity of SARS-CoV-2 infection in this group of patients. |
| first_indexed | 2024-04-12T13:54:28Z |
| format | Article |
| id | doaj.art-c44c9b1fe67f4556b7ee0289166090fc |
| institution | Directory Open Access Journal |
| issn | 1551-0018 |
| language | English |
| last_indexed | 2024-04-12T13:54:28Z |
| publishDate | 2022-06-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Mathematical Biosciences and Engineering |
| spelling | doaj.art-c44c9b1fe67f4556b7ee0289166090fc2022-12-22T03:30:25ZengAIMS PressMathematical Biosciences and Engineering1551-00182022-06-011988380841010.3934/mbe.2022390Global dynamics of SARS-CoV-2/malaria model with antibody immune responseA. D. Al Agha0A. M. Elaiw11. Department of Mathematical Science, College of Engineering, University of Business and Technology, Jeddah 21361, Saudi Arabia2. Department of Mathematics, Faculty of Science, King Abdulaziz University, P.O. Box 80203, Jeddah 21589, Saudi Arabia 3. Department of Mathematics, Faculty of Science, Al-Azhar University, Assiut Branch, Assiut, EgyptCoronavirus disease 2019 (COVID-19) is a new viral disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Malaria is a parasitic disease caused by Plasmodium parasites. In this paper, we explore a within-host model of SARS-CoV-2/malaria coinfection. This model consists of seven ordinary differential equations that study the interactions between uninfected red blood cells, infected red blood cells, free merozoites, uninfected epithelial cells, infected epithelial cells, free SARS-CoV-2 particles, and antibodies. We show that the model has bounded and nonnegative solutions. We compute all steady state points and derive their existence conditions. We use appropriate Lyapunov functions to confirm the global stability of all steady states. We enhance the reliability of the theoretical results by performing numerical simulations. The steady states reflect the monoinfection and coinfection with malaria and SARS-CoV-2. The shared immune response reduces the concentrations of malaria merozoites and SARS-CoV-2 particles in coinfected patients. This response reduces the severity of SARS-CoV-2 infection in this group of patients.https://www.aimspress.com/article/doi/10.3934/mbe.2022390?viewType=HTMLcovid-19sars-cov-2malariaimmune responseglobal stability |
| spellingShingle | A. D. Al Agha A. M. Elaiw Global dynamics of SARS-CoV-2/malaria model with antibody immune response Mathematical Biosciences and Engineering covid-19 sars-cov-2 malaria immune response global stability |
| title | Global dynamics of SARS-CoV-2/malaria model with antibody immune response |
| title_full | Global dynamics of SARS-CoV-2/malaria model with antibody immune response |
| title_fullStr | Global dynamics of SARS-CoV-2/malaria model with antibody immune response |
| title_full_unstemmed | Global dynamics of SARS-CoV-2/malaria model with antibody immune response |
| title_short | Global dynamics of SARS-CoV-2/malaria model with antibody immune response |
| title_sort | global dynamics of sars cov 2 malaria model with antibody immune response |
| topic | covid-19 sars-cov-2 malaria immune response global stability |
| url | https://www.aimspress.com/article/doi/10.3934/mbe.2022390?viewType=HTML |
| work_keys_str_mv | AT adalagha globaldynamicsofsarscov2malariamodelwithantibodyimmuneresponse AT amelaiw globaldynamicsofsarscov2malariamodelwithantibodyimmuneresponse |