×

img Acces sibility Controls

Research Projects Banner

Research Projects

Computational Modelling and Validation for Directly Transmitted Viral Infection Spread: Pathogenesis and Blood Flow Dynamics

Implementing Organization

National Institute of Technology (NIT) Uttrakhand
Principal Investigator
Dr. Dharmendra Tripathi
National Institute of Technology (NIT) Uttrakhand

Project Overview

This proposal aims to study directly transmitted virus pathogenesis process in three distinct parts that include infection uptake, spread of viruses in the blood circulatory system, and establishment of infection in different organs via development of a mathematical model, linking model to experimental information, and validating model outcomes. The first part of infection uptake will require mathematical formulation using computational fluid dynamics approach that considers Navier-Stokes equation and model reduction through perturbation theory. The second part involves identification of experimental data, development of statistical models for linking mathematical model with experimental information on blood and virus characteristics through inverse problem approach. The final part constitutes validation of model components via use of alternative data. The nature of blood flow will be captured based on its rheological properties and available data available on interactions between the blood and viruses propagating through the blood flow. Since, momentum, energy equations and equation of motion (BBO equation) are highly non-linear therefore a suitable approximations and numerical schemes will be employed to simulate the velocity vectors, thermal characteristics and viruses' trajectories in circulatory system.
Funding Organization
Funding Organization
Science and Engineering Research Board (SERB), New Delhi
Anusandhan National Research Foundation (ANRF)
Quick Information
Area of Research
Mathematical Sciences
Focus Area
Computational Biology
Start Year
2024
End Year
2027
Sanction Amount
₹ 6.60 L
Status
Ongoing
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
N/A
Startup (If Any)
00
No. of Patents
Filed :00
Grant :00
arrowtop