Mathematical Sciences
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
Understanding the efficacy of existing drug molecules on COVID-19 through an interactive pathway: A deep learning-based predictive model
Agent based spatial modelling of COVID-19 pandemic for urban areas
Network-based prediction of COVID-19 spread in India under migration
Spatio-temporal modelling and analysis of COVID-19: A domestic and global perspective
Modelling the spread of novel coronavirus (SARS-CoV-2) in host tissue and its potential epidemiological implications for COVID-19
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