TY  - EJOU
AU  - Efil, Fatma Nese 
AU  - Qureshi, Sania 
AU  - Gokbulut, Nezihal 
AU  - Hosseini, Kamyar 
AU  - Hincal, Evren 
AU  - Soomro, Amanullah 

TI  - Aggravation of Cancer, Heart Diseases and Diabetes Subsequent to COVID-19 Lockdown via Mathematical Modeling
T2  - Computer Modeling in Engineering \& Sciences

PY  - 2024
VL  - 140
IS  - 1
SN  - 1526-1506

AB  - The global population has been and will continue to be severely impacted by the COVID-19 epidemic. The primary objective of this research is to demonstrate the future impact of COVID-19 on those who suffer from other fatal conditions such as cancer, heart disease, and diabetes. Here, using ordinary differential equations (ODEs), two mathematical models are developed to explain the association between COVID-19 and cancer and between COVID-19 and diabetes and heart disease. After that, we highlight the stability assessments that can be applied to these models. Sensitivity analysis is used to examine how changes in certain factors impact different aspects of disease. The sensitivity analysis showed that many people are still nervous about seeing a doctor due to COVID-19, which could result in a dramatic increase in the diagnosis of various ailments in the years to come. The correlation between diabetes and cardiovascular illness is also illustrated graphically. The effects of smoking and obesity are also found to be significant in disease compartments. Model fitting is also provided for interpreting the relationship between real data and the results of this work. Diabetic people, in particular, need to monitor their health conditions closely and practice heart health maintenance. People with heart diseases should undergo regular checks so that they can protect themselves from diabetes and take some precautions including suitable diets. The main purpose of this study is to emphasize the importance of regular checks, to warn people about the effects of COVID-19 (including avoiding healthcare centers and doctors because of the spread of infectious diseases) and to indicate the importance of family history of cancer, heart diseases and diabetes. The provision of the recommendations requires an increase in public consciousness.
KW  - COVID-19; mathematical modeling; cancer; diabetes; heart diseases; sensitivity analysis

DO  - 10.32604/cmes.2024.047907