five

COVID-19 Prediction Models Counties & Hospitals | Yu Group (UC Berkeley)

收藏
Databricks2024-05-09 收录
下载链接:
https://marketplace.databricks.com/details/e354c15e-17a7-4342-b430-adc65b5a8b67/Rearc_COVID-19-Prediction-Models-Counties-&-Hospitals-Yu-Group-(UC-Berkeley)
下载链接
链接失效反馈
官方服务:
资源简介:
**Overview** Yu Group at UC Berkeley is working to help forecast the severity of the COVID-19 epidemic both for individual counties and individual hospitals. This release contains datasets for the Prediction and Severity Index models produced by Yu Group. **Product Details** Includes the following tables: - **hls_covid19_usa.covid19_usa_prediction_county_weekly_ucb** - **Update frequency:** daily - **Source:** Yu Group Severity Prediction - **Description:** A large corpus of hospital- and county-level data from a variety of public sources to aid data science efforts to combat COVID-19 - **hls_covid19_usa.covid19_usa_prediction_severity_weekly_ucb** - **Update frequency:** daily - **Source:** Yu Group Severity Prediction - **Description:** The Covid pandemic severity index (CPSI) is designed to help aid the distribution of medical resources to hospitals **Data Sources** The data in this product comes from the following data sources: **Yu Group Severity Prediction** Starting in March 2020, the Yu Group at UC Berkeley Statistics / EECS / CCB worked to help forecast the severity of the epidemic for individual counties and hospitals in the US. They developed interpretable models (updated daily until May 2021) and curated data to predict the trajectory of COVID-19-related deaths. - **Source Homepage:** [Covid-19 Severity Prediction](https://covidseverity.com/) - **Source Data:** [Yu Group | Covid-19 Severity Prediction](https://github.com/Yu-Group/covid19-severity-prediction) - **License:** [MIT](https://raw.githubusercontent.com/Yu-Group/covid19-severity-prediction/master/LICENSE) - **Frequency:** daily
提供机构:
Rearc
搜集汇总
数据集介绍
main_image_url
背景与挑战
背景概述
该数据集由UC Berkeley的Yu Group开发,包含县级和医院级的COVID-19预测模型及严重程度指数,每日更新至2021年5月,用于预测疫情发展趋势和优化医疗资源分配。数据来源于公开渠道,包含死亡轨迹预测和医院资源分配支持功能。
以上内容由遇见数据集搜集并总结生成
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作