COVID-19 Research
Development of prediction model for COVID-19 using machine learning
Identifying optimal immunisation strategies in Indian context against COVID-19
Identifying important factors impacting the spread and mortality rate of COVID-19 using biclustering approach
Modelling and forecasting the effects of long-term interventions on COVID-19 using a network-based approach
Modelling the spread of COVID-19 viral infection at the cellular level
Modelling and prediction of COVID-19 outbreak: Analysing possible effects of lockdown, testing and urbanicity
Controlling epidemics
Containment control over economics to aware local COVID-19 infection dynamics networks
Adapting the standard SIR model for COVID-19 and effects of climate and lockdowns on infectious spread of SARS-CoV-2
Understanding the efficacy of existing drug molecules on COVID-19 through an interactive pathway: A deep learning-based predictive model
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