Work

MONOPOLI: A Customizable Model for Forecasting COVID-19 Around the World Using Alternative Nonpharmaceutical Intervention Policy Scenarios, Human Movement Data, and Regional Demographics

Year: 2023

Type: book-chapter

Source: Springer eBooks

DOI: 10.1007/978-3-030-93954-0_2-1

Authors: Christopher H. Arehart, Jay H. Arehart, Michael Z. David, Bernadino D’Amico, Emanuele Sozzi, Vanja Dukic, Francesco Pomponi

Institutions: University of Colorado Boulder, University of Pennsylvania, Edinburgh Napier University, University of North Carolina at Chapel Hill, University of Cambridge

Language: English

Topic: COVID-19 epidemiological studies

Subfield: Modeling and Simulation

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4391624070

FWCI:

Cites: 68

Cited by:

Related to: 10