Artificial Intelligence-Based Decision Support System for COVID-19 Mobile Assessments and Optimal Supply Services During the Pandemic

拟议项目旨在通过以下独特、可行和变革性的研究目标，改变加拿大对COVID-19的应对和准备态势：1)通过社区流动行为设计现实的社区传播预测模型；2)开发基于人工智能的脆弱地区大流行疫情准备和规划框架；3)开发基于人工智能的大流行期间供应服务决策支持系统。这些结果将有助于监测、建模和基于人工智能的预测，以便部署评估中心和提供所需的供应服务。为决策者提供基于人工智能的数字服务，将使各级政府能够制定积极主动的战略，从而促进加拿大人的管理和物流。最近由COVID-19爆发引起的大流行危机揭示了两个事实：1)供应链的脆弱性；2)由于不可能对整个人口进行测试，因此快速评估疫情的有效战略具有活力。项目成果将提供人工智能支持的软件服务，根据风险图和有限的资源，在尽可能短的时间内最大限度地评估面临风险的人口。在鼓励公民自我隔离并尽量减少社交活动的情况下，供应链的敏捷性对于以最佳策略提供医疗和基本用品至关重要。鉴于这些挑战，渥太华大学和gnit公司之间的合作伙伴关系将通过开发预测多个区域风险评分的创新方法，通过应用机器学习研究领域为COVID-19研究做出贡献。此外，渥太华大学与Lytica公司之间的伙伴关系将能够填补大流行期间供应服务实时建模完全自动化所需的缺失部分。因此，一旦成功完成，该项目将通过以下方式为解决COVID-19危机做出贡献：1)提高社区传播模型的能力；2)快速最大化测试（疑似）人群；3)有效利用现有评估设备；4)人工智能支持的供应服务决策支持。

The proposed project aims at transforming Canada's response and preparedness posture against COVID-19 with the following unique, feasible and transformative research objectives: 1) Designing realistic predictive models of community spread through mobility behavior of communities, 2) Development of an AI-empowered preparedness and planning framework against pandemic outbreak on vulnerable regions, 3) Development of AI-backed decision support systems for supply services during the pandemic. The results will enable monitoring, modeling and AI-based projections for the deployment of assessment centres alongside the required supply services. Providing AI-empowered digital services to decision makers will enable different levels of governments to make proactive strategies so to facilitate management and logistics for Canadians. Recent pandemic crisis due to COVID-19 outbreak has uncovered two facts: 1) Fragility of supply chains, 2) Vitality of effective strategies for rapid assessments against the outbreak as it is not possible to test the entire population. The project outcomes will provide an AI-backed software service to maximize the assessed population at risk in the shortest possible time based upon the risk maps and with limited resources. In a situation where citizens are encouraged to self-isolate and minimize their social interactions, the agility of supply chains become vital to provide the medical and essential supplies with optimal strategies. Given these challenges, the partnership between uOttawa and Gnowit Inc. will contribute to COVID-19 research through the field of applied machine learning research by developing innovative methods to predict risk scores of multiple zones. Furthermore, the partnership between uOttawa and Lytica Inc. will enable to fill in the missing piece required to fully automate the real-time modelling of supply services during the pandemic. Therefore, once completed successfully, the project will contribute to the resolution of COVID-19 crisis through: 1) improved ability to model community spread, 2) fast maximization of the tested (suspected) population, 3) effective use of available assessment equipment, and 4) AI-backed decision support for supply services.