This dataset contains all the code, notebooks, datasets used in the study conducted to measure the spatial accessibility of COVID-19 healthcare resources with a particular focus on Illinois, USA. Specifically, the dataset measures spatial access for people to hospitals and ICU beds in Illinois. The spatial accessibility is measured by the use of an enhanced two-step floating catchment area (E2FCA) method (Luo & Qi, 2009), which is an outcome of interactions between demands (i.e, # of potential patients; people) and supply (i.e., # of beds or physicians). The result is a map of spatial accessibility to hospital beds. It identifies which regions need more healthcare resources, such as the number of ICU beds and ventilators. This notebook serves as a guideline of which areas need more beds in the fight against COVID-19.
Kang, Jeon-Young; Michels, Alexander; Lyu, Fangzheng; Wang, Shaohua; Agbodo, Nelson; Freeman, Vincent L; Wang, Shaowen; Anand, Padmanabhan (2021): Spatial accessibility of COVID-19 healthcare resources in Illinois, USA. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6582453_V1