An interactive tool to forecast us hospital needs in the Coronavirus 2019 pandemic

We developed an application (https://rush-covid19.herokuapp.com/) to aid US hospitals in planning their response to the ongoing COVID-19 pandemic. Our application forecasts hospital visits, admits, discharges, and needs for hospital beds, ventilators, and personal protective equipment by coupling COVID-19 predictions to models of time lags, patient carry-over, and length-of-stay. Users can choose from seven COVID-19 models, customize a large set of parameters, examine trends in testing and hospitalization, and download forecast data. The data and scripts contained herein are used to generate Figure 1 of the associated manuscript, which presents general forms of the models used by our application and presents results for each model across time.我们开发了一款应用程序（https://rush-covid19.herokuapp.com/），用于协助美国医院规划针对当前持续的新型冠状病毒肺炎（COVID-19）疫情的应对方案。本应用通过将新冠疫情预测与时延模型、患者滞留模型及住院时长模型相结合，可预测医院就诊量、入院人数、出院人数以及对病床、呼吸机和个人防护装备的需求。用户可从七种新冠疫情模型中进行选择，自定义大量参数，查看检测与住院治疗趋势，并下载预测数据。 本文所包含的数据与脚本用于生成相关手稿中的图1，该手稿阐述了本应用所使用模型的通用形式，并展示了各模型随时间变化的预测结果。