Using AI to predict COVID19 impacts on Canada's health system

covid - 19危机的影响是全球性的，预测未来变化的可能性以及对医疗保健系统的潜在影响的能力微乎其微。由于必须有预测模型来提高对短期未来的了解，因此使住院系统不堪重负的可能性尤为重要。这项研究将利用人工智能（AI）模型的力量来预测covid - 19的“确认”、住院人数和死亡率，并代表地区、省和加拿大范围内的预测。正在根据各种原始数据源进行评估，以估计感染率、分布、传播和恢复数据，以便更好地了解环境、人们的行为模式和年龄等特征如何影响病例负荷的升级和控制。

The impact of the COVID19 crisis is at world scale, with minimal ability to predict the potential for future changes, and the potential impacts for the healthcare system. The potential to overwhelm the hospitalization system is of particular importance as there has to be forecasting models to improve understanding of the short-term future. This research will be accomplished using the power of Artificial Intelligence (AI) models for prediction of 'confirmations' of COVID19, hospital entries, and death rates, with representations for regions, provinces and Canada-wide projections. Assessments based upon various raw data sources are being developed to estimate the infectivity rates, the distribution spread and the recovery data, to improve understanding of how such features as the environment, and people's behavioral patterns and age, influence the escalation and control of case loads.