A5076154607- Mathematical and Theoretical Epidemiology and Ecology Models
- Evolution and Genetic Dynamics
- Evolutionary Game Theory and Cooperation
- COVID-19 epidemiological studies
- Nonlinear Dynamics and Pattern Formation
- Fractional Differential Equations Solutions
- HIV Research and Treatment
- SARS-CoV-2 and COVID-19 Research
- Ecosystem dynamics and resilience
- Animal Ecology and Behavior Studies
- Mathematical Biology Tumor Growth
- Cardiac electrophysiology and arrhythmias
- Immune Cell Function and Interaction
- Autophagy in Disease and Therapy
- Ion channel regulation and function
- Advanced Differential Equations and Dynamical Systems
- Bioinformatics and Genomic Networks
- COVID-19 Pandemic Impacts
- Cardiovascular Function and Risk Factors
- Microbial Metabolic Engineering and Bioproduction
- Pancreatic function and diabetes
- Aquatic Ecosystems and Phytoplankton Dynamics
- Chaos control and synchronization
- Diagnosis and treatment of tuberculosis
- Tuberculosis Research and Epidemiology
Jadavpur University
2015-2024
National Institute of Technology Durgapur
2021
King Edward VIII Hospital
1994
ABSTRACT The coronavirus disease 2019 (COVID-19), which emerged from Wuhan, China, is now a pandemic, affecting across the globe. Government of different countries have developed and adopted various policies to contain this epidemic most common were social distancing lockdown. We proposed SEIR model that accommodates effects lockdown individual based precautionary measures used it estimate parameters data up 2nd April, 2020, freely available in GitHub repository for COVID-19, nine developing...
In this paper, we introduce fractional order into an ecoepidemiological model, where predator consumes disproportionately large number of infected preys following type 2 response function. We prove different mathematical results like existence, uniqueness, nonnegativity, and boundedness the solutions system. also local global stability equilibrium points The are illustrated with several examples.
Abstract Research on new cancer drugs is performed either through gene knockout studies or phenotypic screening of in cell-lines. Both these approaches are costly and time-consuming. Computational framework, e.g., genome-scale metabolic models (GSMMs), could be a good alternative to find potential drug targets. The present study aims investigate the applicability strategies used as finding targets using GSMMs. We single-gene existing GSMMs NCI-60 cell-lines obtained from 9 tissue types....
In this article, we have developed a simple mathematical model that captures the vital mechanisms of hypothalamic-pituitary-adrenal (HPA) axis self-regulatory activities. For this, system three-component non-linear delay differential equations has been proposed and analysed to observe ultradian circadian variabilities hormone secretion HPA in normal subjects. Our analysis reveals feedback mechanism is sufficient show variability pattern but fails variability. A central nervous system-driven...
The most important issue of concern in a food chain is the stability species and their nature persistence against system parameter changes. For understanding stable dynamics response perturbation, local analysis an insufficient tool. A global by conventional techniques seems to supplement some shortcomings, however, it becomes more challenging for multistable ecosystems. Either fails provide complete description complexity that may evolve system, especially, when there any transition between...
Population distribution of interacting species in a large scale natural system is heterogeneous and subject to change for various reasons. Here, we explore how behavioral modification prey due fear predator mutual interference between predators can create different spatiotemporal patterns population distribution. We show that the factor diffusion ratio-dependent predator–prey model may more complex dynamics than observed earlier. It shown when diffusivity low, remains concentrated at patches...