Modelling the adverse impacts of urbanization on human health
Urbanization has been a growing trend for decades, but the Coronavirus disease 2019 (COVID-19) pandemic has accelerated this trend in several ways. In many countries, the pandemic has prompted significant investments in urban health infrastructure, including hospitals, clinics, and public health fac...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2024-04-01
|
| Series: | Computational and Mathematical Biophysics |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/cmb-2024-0003 |
| _version_ | 1797208511226052608 |
|---|---|
| author | Pandey Prasoon Uniyal Lubhna Sharma Sandeep |
| author_facet | Pandey Prasoon Uniyal Lubhna Sharma Sandeep |
| author_sort | Pandey Prasoon |
| collection | DOAJ |
| description | Urbanization has been a growing trend for decades, but the Coronavirus disease 2019 (COVID-19) pandemic has accelerated this trend in several ways. In many countries, the pandemic has prompted significant investments in urban health infrastructure, including hospitals, clinics, and public health facilities. Also, there are many studies suggesting that COVID-19, urbanization, and chronic diseases are interconnected in several ways, and addressing one aspect requires a comprehensive approach that considers the interconnectedness of these factors. To date, there are no studies depicting COVID-19 as a cause of emerging chronic diseases within the urban population. To address this sensitive issue, we propose a mathematical model in which we divide the total human population into three compartments: susceptible, diseased, and recovered. We have obtained the equilibrium points of the model and the conditions for their local stabilities. A suitable Lyapunov function has been used to derive the condition for the global stability of the nontrivial equilibrium point. A detailed numerical simulation of the model has been carried out, which is followed by sensitivity analysis of the model system. |
| first_indexed | 2024-04-24T09:39:58Z |
| format | Article |
| id | doaj.art-86aba2941eee45c9bdcf82feb030a9ba |
| institution | Directory Open Access Journal |
| issn | 2544-7297 |
| language | English |
| last_indexed | 2024-04-24T09:39:58Z |
| publishDate | 2024-04-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Computational and Mathematical Biophysics |
| spelling | doaj.art-86aba2941eee45c9bdcf82feb030a9ba2024-04-15T07:41:16ZengDe GruyterComputational and Mathematical Biophysics2544-72972024-04-011211449145210.1515/cmb-2024-0003Modelling the adverse impacts of urbanization on human healthPandey Prasoon0Uniyal Lubhna1Sharma Sandeep2Department of Mathematics, DIT University, Dehradun, Uttarakhand 248009, IndiaDepartment of Mathematics, DIT University, Dehradun, Uttarakhand 248009, IndiaDepartment of Mathematics, DIT University, Dehradun, Uttarakhand 248009, IndiaUrbanization has been a growing trend for decades, but the Coronavirus disease 2019 (COVID-19) pandemic has accelerated this trend in several ways. In many countries, the pandemic has prompted significant investments in urban health infrastructure, including hospitals, clinics, and public health facilities. Also, there are many studies suggesting that COVID-19, urbanization, and chronic diseases are interconnected in several ways, and addressing one aspect requires a comprehensive approach that considers the interconnectedness of these factors. To date, there are no studies depicting COVID-19 as a cause of emerging chronic diseases within the urban population. To address this sensitive issue, we propose a mathematical model in which we divide the total human population into three compartments: susceptible, diseased, and recovered. We have obtained the equilibrium points of the model and the conditions for their local stabilities. A suitable Lyapunov function has been used to derive the condition for the global stability of the nontrivial equilibrium point. A detailed numerical simulation of the model has been carried out, which is followed by sensitivity analysis of the model system.https://doi.org/10.1515/cmb-2024-0003urbanizationenvironmental pollutioncovid-19sensitivity analysis92d3034d20 |
| spellingShingle | Pandey Prasoon Uniyal Lubhna Sharma Sandeep Modelling the adverse impacts of urbanization on human health Computational and Mathematical Biophysics urbanization environmental pollution covid-19 sensitivity analysis 92d30 34d20 |
| title | Modelling the adverse impacts of urbanization on human health |
| title_full | Modelling the adverse impacts of urbanization on human health |
| title_fullStr | Modelling the adverse impacts of urbanization on human health |
| title_full_unstemmed | Modelling the adverse impacts of urbanization on human health |
| title_short | Modelling the adverse impacts of urbanization on human health |
| title_sort | modelling the adverse impacts of urbanization on human health |
| topic | urbanization environmental pollution covid-19 sensitivity analysis 92d30 34d20 |
| url | https://doi.org/10.1515/cmb-2024-0003 |
| work_keys_str_mv | AT pandeyprasoon modellingtheadverseimpactsofurbanizationonhumanhealth AT uniyallubhna modellingtheadverseimpactsofurbanizationonhumanhealth AT sharmasandeep modellingtheadverseimpactsofurbanizationonhumanhealth |