Project Theme : Modeling in Public Health
Committees:
Asst. Prof. Anuwat Jirawattanapanit (HoD, Department of Mathematics, Faculty of Education, PKRU)
Dr. Sayooj Aby Jose (ISPP-23 Coordinator & Supervisor)
Dr. W. Anurak (Internal subject Expert, Department of Mathematics, Faculty of Education, PKRU)
Assoc. Prof. Hasan S. Panigoro (External Subject Expert, Department of Mathematics, Universitas Negeri Gorontalo, Indonesia)
Dr. Jisha C.R. (External Subject Expert, Department of Mathematical Sciences, UNIST, South Korea)
Student ID [ISPP-01/MAT/2023]: Benjamin Idoko Omede
Department of Mathematical Sciences, Prince Abubakar Audu University, Anyigba, Nigeria.
Project: Mathematical Modeling on the Transmission Dynamics of Delta and Omicron Variants of Covid-19
Student ID [ISPP-02/MAT/2023]: Hamna Mariyam K. B.
School of Data Analytics, Mahatma Gandhi University,
Kottayam, India.
Project: Predictive Modeling of Incidence of Tuberculosis Using Machine Learning
Student ID [ISPP-03/MAT/2023]: Shamil E.
School of Mathematics & Statistics, Mahatma Gandhi University,
Kottayam, India.
Project: Understanding COVID-19 Propagation: A Comprehensive Mathematical Model with Caputo Fractional Derivatives for Thailand
International Conference on Mathematical Modeling in Public Health and Epidemiology (ICMMPHE-23)
Benjamin Idoko Omede, Sayooj Aby Jose*, J. Anuwat, Taesung Park, Mathematical analysis on the transmission dynamics of delta and omicron variants of COVID‑19 in the United States, Modeling Earth Systems and Environment, https://doi.org/10.1007/s40808-024-02101-4, 2024 [IF: 2.7, ESCI, Q1]
Shamil E., Sayooj Aby Jose*, Hasan S. Panigoro, Anuwat Jirawattanapanit, B. I. Omede, Zakaria Yaagoub, Understanding COVID-19 Propagation: A Comprehensive Mathematical Model with Caputo Fractional Derivatives for Thailand, Frontiers in Applied Mathematics and Statistics, 10 (2014) 1374721 [IF:2, SCIE, Q2]
Hamna Mariyam K.B., Sayooj Aby Jose*, A.Jirawattanapanit, Karuna Mathew, A Comprehensive Study on Tuberculosis Prediction Models: Integrating Machine Learning into Epidemiological Analysis, Journal of Theoretical Biology, 2024 [IF:1.9, SCIE, Q2]
Contributed talk at the VI Jornadas Ecuatorianas de Matemáticas (VI JEM-2024), hosted by Escuela Superior Politécnica de Chimborazo, Ecuador, from November 25 to 29, 2024