F Fang, J Ma, Y Li - Chaos, Solitons & Fractals, 2023 - Elsevier
The COVID-19 pandemic has resulted in a proliferation of conflicting opinions on physical distancing across various media platforms, which has had a significant impact on human …
A reservoir computing based echo state network (ESN) is used here for the purpose of predicting the spread of a disease. The current infection trends of a disease in some …
We investigate epidemic spreading in a deterministic susceptible-infected-susceptible model on uncorrelated heterogeneous networks with higher-order interactions. We provide …
In this study, an epidemic model for spreading COVID-19 is presented. This model considers the birth and death rates in the dynamics of spreading COVID-19. The birth and death rates …
Y Chen, H Huang - Applied Mathematics and Computation, 2022 - Elsevier
Contact tracing is widely adopted to inhibit the epidemics in the global world, and has been proved to be very effective in reducing infections. But it is rarely investigated whether contact …
D Han, J Wang, Q Shao - Chaos: An Interdisciplinary Journal of …, 2023 - pubs.aip.org
Considering that people may change their face-to-face communication patterns with others depending on the season, we propose an epidemic model that incorporates a time-varying …
A Mondal, S Ghosh, P Kundu, P Khanra… - Chaos, Solitons & …, 2024 - Elsevier
We delve into the interplay between network's symmetry and functioning for a generic class of dynamical systems. Primarily, we focus on a class of systems that characterize the …
S Pal, I Ghosh - The European Physical Journal Special Topics, 2022 - Springer
The COVID-19 pandemic is the most significant global crisis since World War II that affected almost all the countries of our planet. To control the COVID-19 pandemic outbreak, it is …
The epidemic threshold of a social system is the ratio of infection and recovery rate above which a disease spreading in it becomes an epidemic. In the absence of pharmaceutical …