Description:
Dataset consists of historical data of pre-pandemic period and doesn’t represent the current reality which may have changed due to the spikes in demand.
This dataset has been generated in collaboration of efforts within CoronaWhy community.
Context
Last updated: April 26th 2020
Updates:
April 14th 2020 - Added missing population data
April 15th 2020 - Added Brazil statewise ICU hospital beds dataset
April 21th 2020 - Added Italy, Spain statewise ICU hospital beds dataset, India statewise TOTAL hospital beds dataset
April 26th 2020 - Added Sweden ICU(2019) and TOTAL(2018) beds datasets
Purpose of the dataset
I am trying to produce a dataset that will provide a foundation for policymakers to understand the realistic capacity of healthcare providers being able to deal with the spikes in demand for intensive care. As a way to help, I’ve prepared a dataset of beds across countries and states. Work in progress dataset that should and will be updated as more data becomes available and public on weekly basis.
Importance
This dataset is intended to be used as a baseline for understanding the typical bed capacity and coverage globally. This information is critical for understanding the impact of a high utilization event, like COVID-19.
Current challenges
Datasets are scattered across the web and are very hard to normalize, I did my best but help would be much appreciated.
