COVID-19 Hospital Impact Model for Epidemics

CHIME

The COVID-19 Hospital Impact Model for Epidemics (penn-chime.phl.io)

Background

The CHIME (COVID-19 Hospital Impact Model for Epidemics) Application is designed to assist hospitals and public health officials with understanding hospital capacity needs as they relate to the COVID pandemic. CHIME enables capacity planning by providing estimates of total daily (i.e. new) and running totals of (i.e. census) inpatient hospitalizations, ICU admissions, and patients requiring ventilation. These estimates are generated using a SIR (Susceptible, Infected, Recovered) model, a standard epidemiological modeling technique. Our model has been validated by several epidemiologists including Michael Z. Levy, PhD, Associate Professor of Epidemiology, Department of Biostatistics, Epidemiology and Informatics at the Perelman School of Medicine.

Originally developed in github.com/pennsignals/chime, active development is now at github.com/CodeForPhilly/chime.

Documentation

• User Documentation
• Developer Documentation

Contributing

• Contributing: Overview

Join our Code For Philly project or our Slack workspace in the #covid19-chime-penn channel if you’d like to chat with us. We’d appreciate your feedback.

Thanks

• Created by Predictive Healthcare @ Penn Medicine
• Project management provided by Code for Philly
• Production hosting provided by Linode Kubernetes Engine