Skip to content

cybergis/cybergis-compute-spatial-access-covid-19

Repository files navigation

Rapidly measuring spatial accessibility of COVID-19 healthcare resources: a case study of Illinois, USA

Map of accessibility

The COVID-19 Spatial Accessibility model (covid-access) uses CyberGIS-Compute to calculate spatial accessibility to hospital ventilators for the entire state of Illinois. It does this using the OpenStreetMap road network for Illinois, a dataset of hospitals, and population data. The model calculates travel-time catchments around each hospital on the OpenStreetMap road network and uses those catchments to calculate spatial accessibility. The work uses code from the following paper:

Kang, JY., Michels, A., Lyu, F. et al. Rapidly measuring spatial accessibility of COVID-19 healthcare resources: a case study of Illinois, USA. Int J Health Geogr 19, 36 (2020). https://doi.org/10.1186/s12942-020-00229-x

Paper Authors: Jeon-Young Kang, Alexander Michels, Fangzheng Lyu, Shaohua Wang, Nelson Agbodo, Vincent L. Freeman & Shaowen Wang

Notebook Authors: Alexander Michels, Zimo Xiao, Anand Padmanabhan, Zhiyu Li, Shaowen Wang, Mit Kotak and Taylor Ziegler

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published