Special Issue: Special Issue on Artificial Intelligence and Epidemiology
Guest Editors
Dr. HIJAZ AHMAD
Section of Mathematics, International Telematic University Uninettuno, Corso Vittorio Emanuele II, 39,00186 Roma, Italy
Email: hijaz555@gmail.com
Dr. AYESHA SOHAIL
Department of Mathematics, Comsats University Islamabad, Lahore Campus, Pakistan
Email: ayeshasohail81@gmail.com
Dr. PREDRAG S. STANIMIROVIC
Faculty of Science and Mathematics, University of Niš, Višegradska 33, Niš 18000, Serbia
Email: peckois@ptt.rs
Dr. ALI AKGÜL
Department of Mathematics , Art and Science Faculty , Siirt University, Turkey
Email: aliakgul00727@gmail.com
Manuscript Topics
The current situation of SARS-CoV2 is alarming. Modeling of the viral diseases is of great interest and cover a huge part of epidemiological studies. The virus – human body interactions can be better understood with the aid of data management and mathematical models.
This present special issue welcome articles based on the mathematical models on:
Individual level, cellular level, subcellular level, molecular level and DNA/RNA encryption. The mathematical models can be simple or hybrid, covering a range of dynamical interaction taking place during the epidemiological studies. The models can be deterministic, stochastic or fractional. Articles based on the data driven modeling, programming and simulations are also welcomed.
SI topics include but are not limited to:
❖ Novel deterministic and stochastic models of viral diseases
❖ Mathematical Methods
❖ Computational and experimental nature of viral diseases models
❖ Software algorithms
❖ Computational models
❖ valuation of models with fractal-fractional differential and integral operators
❖ Assessment of models with Caputo-fractional derivative
❖ Non-singular fractional differential and integral equations
❖ Optimal control and statistical analysis
❖ Model problems of differential equations
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