The novel coronavirus, which causes 新冠肺炎

covid-19的研究综述

圆盘传送带, 新冠肺炎, 特色, Research & 在novation

The novel coronavirus, which causes 新冠肺炎

可靠的测试,接触者追踪方法,保护医护人员,预测模型为有效的医疗操作,以及许多其他必需品:作为我们遍历covid-19大流行景观鳄鱼工程师塑造的东西,是社会的命脉未来。采取在我们在做什么,一目了然,你可以如何帮助和经常检查更新,并看到我们正在创造新的解决方案。


博士。杜接收covid-19中的用于高频数据收集人体移动预测NSF快速奖

加入2020年6月29日

PI: Eric Jing Du, UF Department of Civil & Coastal Engineering in the Engineering School of Sustainable 在frastructure & Environment (ESSIE); Co-PI: Ryan Qi Wang, Department of Civil and Environmental Engineering at Northeastern University

Eric Jing Du, Ph.D., an associate professor in the Department of Civil & Coastal Engineering within the Engineering School of Sustainable 在frastructure & Environment (ESSIE), in collaboration with Ryan Qi Wang, Ph.D., at Northeastern University, have received a Rapid Response Research Award from the National Science Foundation in support of their study on human social patterns post-pandemic. Using social media and high-frequency surveys through a newly created smartphone GPS-tracking app, they will learn and eventually predict human mobility behavior, which will improve the preparation of citizens and public agencies in future public health crises. The project is now at the stage of gathering data from roughly 500 individuals via social media and surveys over a 3-month period. 

快速:廉价,快速制造的呼吸监测到covid-19大流行期间提供安全应急通风

加入2020年6月25日

PI: 何塞·普林西比

Researchers in UF’s Department of Electrical & Computer Engineering are developing an inexpensive, portable, in-circuit respiratory monitor-ing technology that enables safe and effective care of multiple patients needing ventilation during a crisis when facilities and clinicians are stretched thin. The project utilizes novel signal processing at the sen-sors combined with custom algorithms to enable, for the first time, safe and effective ventilation of multiple patients with a single ventilator. The system can provide remote alarms and monitoring of any ventilat-ed patient using a low-cost smart sensor at the patient airway and a standard Android tablet outside the room.

ECE校友和长期普林西比副博士。 CON-vergent工程尼尔euliano也促成了该项目,提供阿西斯 - 孟清湘,信号处理和计算机工程的各个方面。

显示器已成功试制;呼吸机共享的理念也得到了原型,但尚未完全开发。两个设备可以快速通过FDA紧急使用授权完成后清除。

对于covid-19质量测试自适应采样策略

加入2020年6月24日

PI: Xiaochen Xian, Ph.D., UF Department of Industrial & Systems Engineering, Co PI’s Jaclyn Hall, Ph.D., UF College of Medicine – Health Outcomes & Biomedical 在formatics, and Thomas Hladish, Ph.D., UF Department of Biology

科学家在用友的部门工业及系统工程学和健康结果和生物医学信息学和生物学的部门的合作者正在开发covid-19质量检测的自适应采样策略。取样战略指南社区使用实时分析与阐明病毒传播加班的模式在弱势群体和最大化的情况下识别,同时尽量减少测试资源的目标测试。该算法现在正处于从lifesouth血库和仿真数据收集阶段。

超低价社会隔离带

加入2020年6月15日

PI: Yier Jin, Ph.D., Director of Academic Programs for the Warren B. Nelms Institute for the Connected World and Associate Professor and IoT Term Professor, Department of Electrical & Computer Engineering, Co-PIs: My Thai, Ph.D., Associate Director of the Warren B. Nelms Institute for the Connected World and UF Research Foundation Professor, Department of Computer & Information Science & Engineering; and Ahmed Helmy, Professor, Department of Computer & 在formation Science & Engineering

Graphic rendering of people using the social distancing band

科学家在用友公司的沃伦湾内尔姆斯研究所互联世界正在开发一种经济实惠的可穿戴设备,指示相应的社会距离。研究人员的方法利用蓝牙低功耗(BLE)技术可佩戴腕带。 BLE信号强度(RSSI)和发射功率电平(TX_POWER)由新颖距离估计和分类算法所使用的,如果它们是另一个人的指定距离范围(例如,小于6英尺)内通知用户。保持隐私和2 1))估计曝光根据需要风险 - :检测到的信号也可以在本地可穿戴设备上存储。该项目解决了传统拥挤的环境,如K-12学校和大学,以及其他社会隔离的问题。设计用于测量人之间的距离和调整软件到佩戴的带算法的基础工作已经完成了,现在该项目是在收集数据的一群人在评估乐队的准确性阶段。

助理教授开发了一个快速点的护理检测技术用于SARS-COV-2

PIYUSH耆那教,博士,在化学工程系的助理教授,用友健康癌症中心的一员,和长阮,博士学位学生,开发了一种基于CRISPR-,纸基,快速检测技术,可以在低查明在短短的5-10分钟或SARS冠状病毒 - 2 RNA SARS-COV-2 cDNA为30-60分钟无需要昂贵的设备。他们希望利用这种技术来创造一种廉价在家冠状病毒检测试剂盒,类似早孕试纸。

UF教师获得NSF急于奖帮助医院作战covid-19

在dustrial & Systems Engineering Professor yongpei关,博士 助理教授 向仲博士,都在支持他们的研究获得了探索性研究的早期概念津贴从国家科学基金会的数据驱动容易暴露感染,恢复感染(SEIRI)建模和病床风险厌恶顺序规划,人员配备和个人防护在医院装备(PPE),以对抗冠状病毒病2019(covid-19)。

采用离散事件和基于代理的仿真建模covid医院资源的容量规划

PI:米歇尔·阿尔瓦拉多,博士,UF化学工程,共同主持人,部门帕特里克·泰伊医师,麻醉UF

在用友的部门工业和系统工程,并从麻醉部门合作者的工程师们正在开发一个离散事件和基于代理的仿真建模covid-19医院设施管理。这些决策工具带来的潜在影响,允许选修和紧急外科手术,包括外伤,中风,以及在引起covid-19大流行极端资源限制胸痛先进的减灾规划。仿真模型现在正处于模型的增强和验证阶段为半自动化的决策。

在covid-19大流行及以后检测的危险动作,如咳嗽,打喷嚏,食品破坏,并在零售设置不正确的社会疏远

PI: Dr. Read Hayes, Director, Loss Prevention Research Council, Co-PIs: Eakta Jain, Ph.D., Department of Computer & Information Science & Engineering, and Boyi Hu, Ph.D., Department of 在dustrial and Systems Engineering

Scientists in UF’s Department of Computer & Information Science & Engineering and collaborators from the UF Department of 在dustrial and Systems Engineering and Loss Prevention Research Council are developing a dataset of hazardous actions, such as coughing, sneezing, food sabotaging, and incorrect social distancing, for the purpose of conducting a kaggle大赛 和UF劈一个马拉松刺激可用于对这些行动的自动标记的算法。此数据集和挑战,必须做出必要的活动,如杂货店和药房访问,更安全的购物者和员工的潜力,并可能有一个更广泛的适用性,用于控制其他疾病的传播,如流感病毒。此数据集和挑战将创造一个机会,创新和标杆的新算法集中在流感大流行相关的操作。该项目目前处于开发计划,并申请从用友临床和转化科学研究所资助的阶段。

空中SARS冠状病毒2型病毒的监控针对covid-19人才保障

PI: CY Wu, UF Department of Environmental Engineering at the Engineering School of Sustainable 在frastructure & Environment (ESSIE), Co-PI: Hugh Fan, UF Department of Mechanical and Aerospace Engineering

Engineers in the UF Department of Environmental Engineering Sciences at the Engineering School of Sustainable 在frastructure & Environment (ESSIE) are developing a novel virus aerosol sampler for a non-invasive technology for 新冠肺炎 detection. The device efficiently collects the airborne virus, the information of which enables healthcare providers pinpoint risk areas and identify measures for improvement. The application has the potential of applying beyond the testing areas, and eventually, general public areas (e.g. airports, subways, government buildings, shopping centers) will be able to adopt this powerful device in order to detect airborne pathogenic viruses early on and effectively mitigate their spread. Dr. Chang-Yu Wu and his team are deploying this device in various locations to gather samples, which we should receive in a few weeks.

传感器来检测生物组分

PI:番人,化学工程和斯蒂芬pearton用友部门,UF材料科学与工程系

科学家在化学工程和材料科学与工程部门正在开发一种低成本的传感器平台,一次性的,快速响应的技术,使用测试covid-19检测条类似的血糖试纸。传感器潜在地具有一个响应时间不到1分钟。检测到的信号打算被开发为数字电信号,这并不需要训练有素的技术人员来操作的检测。所检测到的信号可以被自动记录。

UF工程师研究小巧便携单元消毒SARS COV-2被污染的表面

PI:罗伊,subrata,机械和航空航天工程系

Scientists in UF’s Department of Mechanical & Aerospace Engineering are developing a novel solution to disinfect SARS CoV-2-contaminated surfaces using Dielectric Barrier Discharge (DBD) plasma reactors. Their research will create a safe, energy-efficient, easy-to-use, compact portable disinfection unit. DBD technology acts as a powerful reusable disinfection system for surfaces and objects, including masks, gloves, suits, equipment, medical supplies, and personal effects. The plasma-based decontamination technology has already been proven against a wide range of bacteria and viruses and thus shows promise for inactivation and inhibition of SARS CoV-2. The research is currently submitted as an initiative for funding where the next steps will include testing at UF’s Emerging Pathogens 在stitute. Dr. Subrata Roy’s engineering team and collaborators from the College of Public Health and Health Professions will test the decontamination technology, and initial results will be available in approximately three months. With successful test results, the portable disinfection units can quickly be made available to protect frontline healthcare personnel in crowded medical and laboratory facilities where rapid disinfection of personal protection equipment is essential.

三叉戟:者的感染的发病检测三峰感觉系统

PI: Soumyajit Mandal, Ph.D., UF Warren B. Nelms Institute for the Connected World, Co-PI: Forrest Masters, Ph.D., UF Engineering School of Sustainable Infrastructure & Environment, Yier Jin, Ph.D., Sandip Ray, Ph.D., Swarup Bhunia, Warren B. Nelms 在stitute for the Connected World; Nikolaus Gravenstein, M.D. UF Anesthesiology

工程研究人员在用友公司的沃伦湾内尔姆斯研究所所连接世界正在开发三叉戟,三模态感觉系统用于诸如covid-19检测的感染的发病。三叉戟是建立东西(IOT)基础设施的网络,它利用连接的传感器和设备的三管齐下套房上:多模态传感器,交互式的边缘设备和基于云的安全软件。这些组件协同工作与彼此的预防措施提供实时警报,以个人和准则,同时不断评估感染病毒或提醒用户,当他们无意中侵犯了它传播的风险。该系统使用现成的组件,如手机,使它非常方便和实惠,使处于危险之中的人可以轻松地集成到他们的家庭/工作环境。三叉戟也可以监视和提供信息的预测,评估谁是已被隔离或住院治疗的患者病情,然后模型中的疾病进展。

请定期检查回来,因为我们将发布更多的信息和新的研究项目,只要信息是可用的。

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