Stochastic probical strategies in a delay virus infection model to combat COVID-19

Abstract

In disease model systems, random noises and time delay factors play key role in interpreting disease dynamics to comprehend deeper insights into the course of dynamics. An endeavor to forecast intercellular behavioral dynamics of SARS-CoV-2 virus via Infection model with responsive host immune mechanisms forms the crux of this research study. Incorporation of time delay factor into infection transmission rates in noisy system epitomizes spectacular view on internal viral dynamics and stability properties are rigorously analyzed around equilibrium steady states to probe feasible strategies in mitigating rapid spread. Efforts to perceive inocular view on infection dynamics are not limited to theoretical frontiers but are substantiated with empirically simulated outcomes and visualized as graphical upshots. Discussions on numerical investigations emphasized shorter incubation periods and vaccination at pertinent time intervals to restrain massive spread and exhibit total immunity against SARS-CoV-2 infections.

Dual attention-based sequential auto-encoder for Covid-19 outbreak forecasting: A case study in Vietnam

“…Many real-world case studies in different countries have showed that the tremendous growth in the healthcare requirements for Covid-19 patients. It is the results of fast person-to-person transmission ( Fidan and Yuksel, 2021 , Pitchaimani and Devi, 2021 ) of the Covid-19 delta variant as well as shortage of suitable strategies for preventing the spreads of virus among groups of confirmed Covid-19 cases to other healthy ones. In addition, the shortage of proper data modelling and short/long-term Covid-19 outbreak forecasting solutions also led to challenges for the governments to effectively manage as well as plan for social resource optimization ( Nascimento et al, 2021 ).The accurate pandemic forecasting mechanism also supports for the governments to properly impose suitable policies to simultaneously deal with the expansion of Covid-19 as well as ensure the social/economic stability ( Miao, Last, & Litvak, 2022 ).…”

Fractional dynamical probes in COVID-19 model with control interventions: a comparative assessment of eight most affected countries

“…Sarkar et al [ 25 ] predicted the COVID-19 pandemic in India in 2020. Pitchaimani and Brasanna Devi [ 26 ] then used the stochastic delay to model and discuss COVID-19 the following year, in 2021 and also Araz [ 27 ] implemented optimal control on the COVID-19 model in the same year and discussed its impact.…”