| Autor: |
Vaishnaw, Nidhi S., Narayan, S. Shankar |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2024, Vol. 3149 Issue 1, p1-10, 10p |
| Abstrakt: |
A predictive mathematical model is presented to analyze whether the cases of lung cancer are increasing or decreasing after COVID-19. Further to investigate the age range in which it is more attacked by the disease and its modes of treatment. The relevant data collected from the previously published articles are utilized to obtain the simulation results for the mathematical model considered. The mathematical model considered for the present study is a result of the case study undertaken on the patient-specific data obtained from a deceased patient who was suffering from post-COVID fibrosis. The beginning and end of the first phase and the last phase of each phase pair's variability showed identical phase plots for each phase duo. Implementing control techniques to optimize each compartment had a big impact on every division. The graphical representations also provided evidence for the necessity of controlling the condition that causes post-COVID fibrosis. The mathematical model and the exploration of the results in terms of the orientation of different phases add novelty to the present research. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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