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8849 result(s) found
Modelling COVID-19 to study the impact of various societal factors on the control of pandemic

This study aims to investigate the extent to which an epidemic can invade a population can be determined using its basic reproduction number (BRN), R0. Prediction of the growth of infections in a region, calculation of the rate of growth of COVID-19

Section: Mathematical Sciences (Research Project)
Modelling the spread of COVID-19 viral infection at the cellular level

The ongoing pandemic due to the spread of the viral infection, COVID-19, calls into focus a renewed look into modelling of viral dynamics. Systems biology-based models have, in the past, been successful in modelling the HIV and T-lymphocyte dynamics.

Section: Life Sciences & Biotechnology (Research Project)
Modelling the spread of novel coronavirus (SARS-CoV-2) in host tissue and its potential epidemiological implications for COVID-19

This study aims to develop a general, cell-based model of 2D viral spread in a tissue in which cells are mechano-chemical entities that can deform, move, divide, and die.

Section: Medical Sciences (Research Project)
Network-based prediction of COVID-19 spread in India under migration

In this project, it is aimed to predict the spread of COVID-19 in India under the assumption that migration happens between the states. The objective is to model the spread of COVID-19 in the different states of India with interstate migration allowe

Section: Mathematical Sciences (Research Project)
Spatio-temporal modelling and analysis of COVID-19: A domestic and global perspective

This study proposes to investigate three key aspects: 1.To study spatial propagation - a key aspect behind the spread of COVID-19. 2.To study whether the natural propagation of an epidemic is affected by the implementations of (non-pharmaceutical) in

Section: Mathematical Sciences (Research Project)
Theoretical model for inactivation kinetics of infectious human coronavirus on metal surfaces

This project aims to develop a fundamental theoretical model addressing the rate of inactivation of human coronavirus on metal and alloy.

Section: Life Sciences & Biotechnology (Research Project)
Understanding the efficacy of existing drug molecules on COVID-19 through an interactive pathway: A deep learning-based predictive model

This study aims to adopt/ develop a machine learning (ML) based methodology to predict several new potential drugs for the treatment of SARS-CoV-2.

Section: Pharmaceutical Sciences (Research Project)
Multi-cluster models for epidemic spread and evaluation based on data-driven parameterisation

The study aims to quantify the parameters of the model for different classifications of clusters by identifying them and using the publicly available data to quantify the parameters for the model that have been proposed/ analysed.

Section: Mathematical Sciences (Research Project)
A phase II B open label randomised controlled trial to evaluate the efficacy and safety of Ivermectin in reducing viral loads in patients with hematological disorders who are admitted with COVID-19 infection (ICE study)

The study aims to understand if the use of Ivermectin is associated with a more rapid clearance of the virus compared to standard supportive treatment and whether this rapid reduction will lead to better outcomes.

Section: Medical Sciences (Research Project)
Adapting the standard SIR model for COVID-19 and effects of climate and lockdowns on infectious spread of SARS-CoV-2

In this work, a mathematical model is developed to estimate the impact of SARS-CoV-2. Based on climatic conditions, the countries will be clustered and the difference in model parameters will be studied. The study aims to gauge the effectiveness of l

Section: Life Sciences & Biotechnology (Research Project)
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