ArticleMathematical methods in the applied sciences2022
Stability analysis of within-host SARS-CoV-2/HIV coinfection model.
Article in Mathematical methods in the applied sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed, 14 citations in OpenAlex.
- Stability of a delayed SARS-CoV-2 reactivation model with logistic growth and adaptive immune response.Physica A · 2023Article
- Stability analysis of within-host SARS-CoV-2/HIV coinfection model.Mathematical methods in the applied sciences · 2022Article
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
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Abstract
The world has been suffering from the coronavirus disease 2019 (COVID-19) since late 2019. COVID-19 is caused by a virus called the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The human immunodeficiency virus (HIV) coinfection with SARS-CoV-2 has been reported in many patients around the world. This has raised the alarm for the importance of understanding the dynamics of coinfection and its impact on the lives of patients. As in other pandemics, mathematical modeling is one of the important tools that can help medical and experimental studies of COVID-19. In this paper, we develop a within-host SARS-CoV-2/HIV coinfection model. The model consists of six ordinary differential equations. It depicts the interactions between uninfected epithelial cells, infected epithelial cells, free SARS-CoV-2 particles, uninfected CD4
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