Title: diseasemodeling/COVID-University: Simulation web-app for analyses of COVID-19 control in a university setting

Type Software Xinmeng Zhao, Hanisha Tatapudi, Ron Mallach, Dennis Hofmann, Chaitra Gopalappa (2020): diseasemodeling/COVID-University: Simulation web-app for analyses of COVID-19 control in a university setting. Zenodo. Software. https://zenodo.org/record/3966300

Authors: Xinmeng Zhao ; Hanisha Tatapudi ; Ron Mallach ; Dennis Hofmann ; Chaitra Gopalappa ;

Links

• Item record in Zenodo
• Digital object URL

Summary

A simulation tool for analyses of COVID-19 control in a university setting, by evaluating alternative combinations of mass test rate, contact trace and test rate, transmission rate (probability of transmission per contact per day), and contact rate (number of contacts per person per day). Transmission rate can be used for representation of face mask use and physical distancing practices (see suggested values on webapp home page). Contact rate can be used for representation of alternative scheduling choices. The simulation tool also provides options for inputting population size, start and end day of simulation, initial infections on day of reopening school, infections per day from contacts with outside university population, condition for initiating trace and test in terms of number of diagnosed cases, and unit costs of testing and quarantine. Outcomes include epidemic metrics: deaths, hospitalizations, new diagnosis, number of cases (diagnosed and diagnosed); and resource need metrics: number trace and tests, number mass tests, number quarantines, and total costs. Other simulation metrics are available in the Excel file that can be downloaded.

More information

• DOI: 10.5281/zenodo.3966300

Subjects

• COVID-19, simulation, university simulation

Dates

• Publication date: 2020
• Issued: July 29, 2020

Rights

• info:eu-repo/semantics/openAccess Open Access

Format

electronic resource

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