Platform for simulation and analysis of spread of COVID-19 in buildings

COVID-19 在建筑物中传播的模拟和分析平台

• 批准号: 551055-2020
• 负责人: Wainer, Gabriel
• 金额: $ 3.64万
• 依托单位: Carleton University
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=702427
• 关键词: Platform; simulation; analysis; spread; COVID

In recent years, we defined new methods for modeling and simulation, and used them to build models based on the traditional Susceptible-Infected-Recovered (SIR) equations (that are being used worldwide to predict the pandemic dynamics). We also have gained experience on integrating simulations and complex spatial visualization engines to allow decision makers to study how the virus spreads. SOLACE is interested on integrating their message broker platform with mathematical models, sensors, GIS and user devices to provide real time COVID-19 information to the population to inform their behavior. Social media platforms has shown to be help in circulating information to large numbers of individuals, and during the current COVID-19 pandemics, government agencies, hospitals and news agencies have made use of these methods to give detailed information on the fly. The use a message broker platform like the one built by SOLACE has potential for this purpose. This research will focus on extending the models study how viruses spread indoors, combining them with SOLACE's broker. We will use detailed 3D models of the buildings on University campuses and adaptations of the SIR model for indoor environments. We will also study how the virus expands in larger areas. We will combine the models and their simulations with Geographical Information Systems and Carleton's Digital Campus map to build spatial versions of the SIR model with adaptations and improvements. The models will be available through the web for remote collaboration and for use of decision makers, and will give real-time information to campus occupants using SOLACE's middleware. This tool will permit studying different strategies for returning to campus at the end of the pandemic, providing insight on the fly to individuals to make informed decisions and help containing the virus during future outbreaks,

近年来，我们定义了新的建模和模拟方法，并使用它们来构建基于传统的易感-感染-传播（SIR）方程（该方程在世界范围内被用于预测大流行动态）的模型。我们还在集成模拟和复杂的空间可视化引擎方面积累了经验，使决策者能够研究病毒的传播方式。 SOLACE有兴趣将其消息代理平台与数学模型、传感器、GIS和用户设备集成，为人们提供真实的COVID-19信息，以告知他们的行为。社交媒体平台已被证明有助于向大量个人传播信息，在当前的COVID-19大流行期间，政府机构、医院和新闻机构利用这些方法即时提供详细信息。使用SOLACE构建的消息代理平台具有实现此目的的潜力。 这项研究将集中在扩展模型研究病毒如何在室内传播，将它们与SOLACE的经纪人相结合。我们将使用大学校园建筑物的详细3D模型和室内环境SIR模型的适应性。我们还将研究病毒如何在更大范围内扩散。我们将结合联合收割机的模型和模拟地理信息系统和卡尔顿的数字校园地图建立空间版本的SIR模型的适应和改进。这些模型将通过网络提供，以供远程协作和决策者使用，并将使用SOLACE的中间件向校园占用者提供实时信息。这一工具将允许研究在大流行结束时返回校园的不同策略，为个人提供动态洞察力，以做出明智的决定，并在未来爆发期间帮助遏制病毒，