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Published on: November 10, 2023
Dynamics of novel COVID-19 in the presence of Co-morbidity
Amit Kumar Saha1, Chandra Nath Podder1, Ashrafi Meher Niger1
1Department of Mathematics, University of Dhaka, Dhaka, 1000, Bangladesh.
Insights
Mathematical modeling of COVID-19 transmission reveals that controlling the virus requires a basic reproduction number below one. Public mask-wearing can significantly reduce COVID-19 spread, especially in co-morbid populations.
Area of Science:
- Epidemiology
- Mathematical Biology
- Public Health
Background:
- The COVID-19 pandemic poses a significant global health challenge.
- Individuals with weakened immune systems and underlying conditions (e.g., cardiovascular disease, diabetes, hypertension, cancer) face increased susceptibility and complication risks.
- Co-morbidities exacerbate COVID-19 severity and outcomes.
Purpose of the Study:
- To develop and analyze a deterministic compartmental model for understanding COVID-19 transmission dynamics.
- To investigate the impact of key epidemiological parameters on disease spread.
- To evaluate the effectiveness of public health interventions like mask-wearing.
Main Methods:
- Formulation of a deterministic compartmental mathematical model.
- Rigorous mathematical analysis, including backward bifurcation analysis.
- Numerical simulations using COVID-19 transmission data.
- Analysis of disease-free and endemic equilibrium states based on the basic reproduction number.
Main Results:
- The model demonstrates backward bifurcation when the basic reproduction number is less than unity.
- A basic reproduction number less than one is necessary and sufficient for COVID-19 control (disease-free equilibrium is globally asymptotically stable).
- Public mask-wearing can lead to significant COVID-19 elimination.
- Co-morbidity substantially increases disease prevalence.
Conclusions:
- Mathematical modeling provides insights into COVID-19 transmission dynamics.
- Controlling COVID-19 is achievable with a basic reproduction number below one.
- Widespread use of face masks is a critical intervention for disease reduction.
- Co-morbidities represent a significant challenge in managing the pandemic.
Abstract:
A novel coronavirus (COVID-19) has emerged as a global serious public health issue from December 2019. People having a weak immune system are more susceptible to coronavirus infection. It is a double challenge for people of any age with certain underlying medical conditions including cardiovascular disease, diabetes, high blood pressure and cancer etc. Co-morbidity increases the probability of COVID-19 complication. In this paper a deterministic compartmental model is formulated to understand the transmission dynamics of COVID-19. Rigorous mathematical analysis of the model shows that it exhibits backward bifurcation phenomenon when the basic reproduction number is less than unity. For the case of no re-infection it is shown that having the reproduction number less than one is necessary and sufficient for the effective control of COVID-19, that is, the disease free equilibrium is globally asymptotically stable when the reproduction threshold is less than unity. Furthermore, in the absence of reinfection, a unique endemic equilibrium of the model exists which is globally asymptotically stable whenever the reproduction number is greater than unity. Numerical simulations of the model, using data relevant to COVID-19 transmission dynamics, show that the use of efficacious face masks publicly could lead to the elimination of COVID-19 up to a satisfactory level. The study also shows that in the presence of co-morbidity, the disease increases significantly.
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