Application of the Flusurge 2.0 methodology to predict the needs of conventional hospital treatment, intensive care, and respiratory support resources as a consequence of coronavirus disease (COVID-19) in several countries. Different countries of the following continents have been selected: Europe, Asia, Africa, North America, South America, and Oceania. Variables: Total population and age distribution; Number of COVID19 infections; Number of deaths from COVID19; Number of non-ICU hospital beds; Number of ICU beds; Number of ventilators. Method: The proposed possible scenario planning is based on the application of FluSurge 2.0 Software, developed by The Johns Hopkins Center for Health Security (CHS/CDC). Saturation of conventional hospitalization is expected in India, Uganda, Nepal, and Haiti; there is a forecast of saturation for ICU beds in all sample countries except Turkey. Ventilator saturation is expected in all countries of the sample except Argentina, Austria, Brazil, France, United Kingdom, Japan, South Korea, Norway, Poland, Turkey and the USA. The model shows, for a percentage greater than 50% of the countries, difficulties related to the saturation of their ICU units, and the use of ventilators.

应用 Flusurge 2.0 方法来预测几个国家因冠状病毒病 (COVID-19) 而对常规医院治疗、重症监护和呼吸支持资源的需求。选择了以下大陆的不同国家：欧洲、亚洲、非洲、北美洲、南美洲和大洋洲。变量：总人口和年龄分布；COVID19 感染人数；COVID19 造成的死亡人数；非ICU病床数量；ICU病床数量；呼吸机的数量。方法：提议的可能情景规划基于约翰霍普金斯健康安全中心 (CHS/CDC) 开发的 FluSurge 2.0 软件的应用。预计印度、乌干达、尼泊尔和海地的常规住院治疗将饱和；预测除土耳其外的所有样本国家的 ICU 床位都将饱和。除阿根廷、奥地利、巴西、法国、英国、日本、韩国、挪威、波兰、土耳其和美国外，预计所有样本国家的呼吸机都将饱和。该模型显示，在超过 50% 的国家中，困难与 ICU 病房饱和以及呼吸机的使用有关。