یک مدل ریاضی برای همه‌گیری

مدل‌سازی ریاضی به صورت فزآینده‌ای توسط پژوهشگران به عنوان یک ابزار تحقیقاتی مهم در کنترل بیماری‌های مسری مورد استفاده قرار می‌گیرد و در حال حاضر، مدل‌های ریاضی به طور گسترده‌ای برای ارزیابی اثربخشی راهبردهای کنترل بیماری کوید-19 استفاده می‍شوند. هدف از این مقاله، مرور مختصر مدل همه‌گیری  sir است که یکی از مدل‌های بنیادی در نظریۀ ریاضی همه‌گیرشناسی است.

A mathematical model for the epidemic

The COVID-19 pandemic started in China and quickly spread throughout the world. This pandemic has affected the health of millions of people, the global economy and has challenged the majority of scientists and politicians to find effective medical treatments and intelligent policies to reduce the side effects of this pandemic as soon as possible. Technological advancements have enabled us to collect tremendous amount of data in various related areas that includes; cellular level data (genomics, proteomics and transcriptomics) and epidemiological data (number of patients, the behaviors of people in critical situations). The analysis of these data sets could help us better understand and cure this disease and control its transmission. In this paper, we provide a comprehensive overview of various areas of data science and their role in encountering COVID-19. In addition, we process the new daily cases of this disease in frequency domain. Frequency domain helps us understand the effect of various important delays in this pandemic. Based on the frequency content of daily new cases of the COVID-19, in the countries that are affected the most, we could classify various countries into four major classes.