SIR/SEIR epidemic simulator with network spread, ML forecasting, and scenario comparison
Simulação com simplificado de letalidade potencial do COVID-19. Inspirado inicialmente no relatório Impact of non-pharmaceutical interventions (NPIs) to reduce COVID19 mortality and healthcare demand da Imperial College COVID-19 Response Team.
A Python-based simulation modeling the spread of COVID-19 in a community, considering factors like mask usage, age groups, and family transmission. It tracks daily statistics on infections, hospitalizations, recoveries, and fatalities, with visualized results.
Simulation dans le moteur Unity du fonctionnement du Contact-Tracing (https://github.com/ROBERT-proximity-tracing/documents)
Simulation on the spread of COVID-19 in a normal community (vs) a cautious community.
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