An Agent-based Model Of Covid-19 In Luxembourg

The ongoing coronavirus pandemic is the most disruptive global event in modern history. It is of vital importance that we continue to build a rigorous understanding of how the SARS-COV-2 virus spreads within the human population, and predict the impact of interventions. This is especially true given the widely-expected possibility of a second wave. This project aims to do so using a sophisticated agent-based model of COVID-19 in Luxembourg, based on real data and accompanied by computer simulations, that incorporates unique features not typically seen in other models. In particular, our model will feature a dynamic sequence of contact networks varying stochastically over time, modelling both permanent contacts within homes, workplaces and schools but also the random mixing of strangers in, for example, restaurants, bars, shops and public transport. We hope that this model will yield accurate predictions that could help shape government policy and save lives. The SARS-COV-2 virus presents the greatest challenge of our time and this project aims to strengthen Luxembourg in its fight against the virus.