MONOPOLI: a customizable model to provide forecasts of Covid-19 infections around the world using alternative non-pharmaceutical intervention policy scenarios, human movement data, and regional demographics

Authors: D'Amico, Bernardino ;

Arehart, Chris H.;

Arehart, Jay H.;

David, Michael Z.;

Sozzi, Emanuele;

Dukic, Vanja;

Pomponi, Francesco

Source: Handbook of Visual, Experimental and Computational Mathematics - Bridges through Data

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: https://napier-repository.worktribe.com/output/3143061/monopoli-a-customizable-model-to-provide-forecasts-of-covid-19-infections-around-the-world-using-alternative-non-pharmaceutical-intervention-policy-scenarios-human-movement-data-and-regional-demographics

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D'Amico, B., Arehart, C., Arehart, J., David, M., Sozzi, E., Dukic, V. & Pomponi, F. 2023, 'MONOPOLI: a customizable model to provide forecasts of Covid-19 infections around the world using alternative non-pharmaceutical intervention policy scenarios, human movement data, and regional demographics', Handbook of Visual, Experimental and Computational Mathematics - Bridges through Data. https://napier-repository.worktribe.com/output/3143061/monopoli-a-customizable-model-to-provide-forecasts-of-covid-19-infections-around-the-world-using-alternative-non-pharmaceutical-intervention-policy-scenarios-human-movement-data-and-regional-demographics

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Repository URI: https://napier-repository.worktribe.com/output/3143061/monopoli-a-customizable-model-to-provide-forecasts-of-covid-19-infections-around-the-world-using-alternative-non-pharmaceutical-intervention-policy-scenarios-human-movement-data-and-regional-demographics