Simulating Complex Systems with Python: How Does COVID Spread?

The spread of COVID from patient zero throughout a population is a complex system simulation problem. Learn how to model it using Python.

An understanding of coronavirus and exploring the molecular dynamics simulations to find promising candidates against the Mpro of nCoV to combat the COVID-19: A systematic review - ScienceDirect

A stochastic agent-based model to evaluate COVID-19 transmission influenced by human mobility

Assessing individual risk and the latent transmission of COVID-19 in a population with an interaction-driven temporal model

Frontiers Digital cities and the spread of COVID-19: Characterizing the impact of non-pharmaceutical interventions in five cities in Spain

ESSD - A machine learning approach to address air quality changes during the COVID-19 lockdown in Buenos Aires, Argentina

The Inhibition of SARS-CoV-2 3CL Mpro by Graphene and Its Derivatives from Molecular Dynamics Simulations

Modelling the coronavirus epidemic in a city with Python, by Gevorg Yeghikyan

Introducing the COVID-19 Simulator and Machine Learning Toolkit for Predicting COVID-19 Spread

Simulation of the COVID-19 patient flow and investigation of the future patient arrival using a time-series prediction model: a real-case study

Molecular Simulations and Network Modeling Reveal an Allosteric Signaling in the SARS-CoV-2 Spike Proteins