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 on the spread of COVID-19 in a normal community (vs) a cautious community.
Simulation dans le moteur Unity du fonctionnement du Contact-Tracing (https://github.com/ROBERT-proximity-tracing/documents)
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