MATHEMATICAL DECISION ALGORITHMS IN THE DIAGNOSIS, TREATMENT AND VACCINE PRIORITY OF COVID-19

This project is analyzed in three parts. In the first part, Covid-19 and winter diseases that show similar symptoms are distinguished by using fuzzy soft set matrices. In the second part, while calculating the Covid-19 follow-up treatment priority, a risk score algorithm is created with the help of six criteria: age, hypertension, cardiovascular disease, cancer, chronic kidney failure and diabetes. The severity of the disease in different individuals is compared. In the third part, Covid-19 vaccine planning is evaluated individually with a questionnaire study of 200 people and a literature review. 7 main criteria are determined as systemic disease, age, occupation, province and district, transportation preference, presence of a risk group in the immediate vicinity and Covid-19 history.

Category: MATHEMATICS Country: TURKEY Year: 2021

 

ZEYNEP PARLA PARMAKSIZ