Exploring COVID-19 transmission patterns and key factors during epidemics caused by three major strains in Asia

A COVID-19 Infection Model Considering the Factors of Environmental Vectors and Re-Positives and Its Application to Data Fitting in Japan and Italy

“…In particular, differential equations and statistics have been widely used to construct various types of compartmental models and make rapid and effective predictions about infection trends, epidemic patterns, and key factors in the spread of infectious diseases. In addition, mathematical models based on differential equations provide a theoretical basis and optimal strategies for the prevention and treatment of infectious diseases [ 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 ].…”

New Challenges in the Mathematical Modelling and Control of COVID-19 Epidemics: Analysis of Non-Pharmaceutical Actions and Vaccination Strategies

“…The Journal of Theoretical Biology proposed a Special Issue titled Modelling COVID-19 and Preparedness for Future Pandemics specifically focused on studying different modeling techniques to better understand which is the best model to use for each question and how efficient a model can be for disease prediction [13][14][15][16][17][18][19][20][21][22]; better understand the cyclic phenomena observed in this pandemic [23][24][25][26][27][28][29]; explore the roles of different virus strains and methods with which to rapidly detect them [30][31][32][33][34]; and relate social problems to the pandemic [35][36][37][38]. • Even less-specialized journals decided to pay attention to COVID-19, such as the Journal of Mathematics in Industry, which proposed the Special Issue Mathematical Models of the Spread and Consequences of the SARS-CoV-2 Pandemics.…”