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Delphi Center for Outbreak Analytics and Disease Modeling in Public Health Response will improve use of data during emergenciesPITTSBURGH, Sept. 20, 2023 /PRNewswire/ -- The Centers for Disease Control and Prevention (CDC) has selected CMU's Delphi Research Group for a Center of Innovation in Outbreak Analytics and Disease Monitoring.
德尔菲公共卫生应对爆发分析和疾病建模中心将改进2023年9月20日紧急情况下的数据使用情况/PRNewswire/-疾病控制和预防中心(CDC)选择了CMU的德尔菲研究小组作为中心爆发分析和疾病监测的创新。
With this funding support, CMU researchers will leverage data, artificial intelligence and forecasting tools in preparation for the next pandemic, outbreak or public health crisis. The Delphi Center for Outbreak Analytics and Disease Modeling in Public Health Response will work with public health agencies to develop a ready response to emerging outbreaks and expand data collection efforts to further innovate forecasting. .
在这种资金支持下,CMU研究人员将利用数据,人工智能和预测工具为下一次大流行,爆发或公共卫生危机做准备。德尔菲公共卫生应对中的疫情分析和疾病建模中心将与公共卫生机构合作,为新出现的疫情制定现成的应对措施,并扩大数据收集工作以进一步创新预测。 .
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The Delphi Center will receive $17.5 million in funding from the CDC's Center for Forecasting and Analytics (CFA) over the next five years.
德尔菲中心将在未来五年从疾病预防控制中心的预测和分析中心(CFA)获得1750万美元的资金。
CDC has selected CMU's Delphi Research Group for a Center of Innovation in Outbreak Analytics and Disease Monitoring.
CDC已选择CMU的Delphi研究小组作为爆发分析和疾病监测的创新中心。
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'AI has a remarkable role to play in helping us better anticipate health crises, understand our risks and assess if our interventions are working,' says CMU President Farnam Jahanian. 'Carnegie Mellon University's Delphi Research Group has spent the last decade tracking trends related to the flu and other pathogens and pioneering groundbreaking techniques for epidemic forecasting.
CMU总裁Farnam Jahanian说:“人工智能在帮助我们更好地预测健康危机,了解我们的风险并评估我们的干预措施是否有效方面发挥着重要作用。”卡内基梅隆大学的德尔菲研究小组在过去十年中一直在追踪与流感和其他病原体有关的趋势,并开创了流行病预测的开创性技术。
The new Center will see our researchers and scholars apply the same meticulous lens to new pathogens, expand to new data sources and techniques, and help prepare local and state public health agencies for future public health emergencies.'.
新中心将看到我们的研究人员和学者对新病原体应用同样细致的镜头,扩展到新的数据来源和技术,帮助地方和州公共卫生机构为未来的突发公共卫生事件做好准备。
The Delphi Center is one of 13 centers announced Tuesday by the CFA to establish an outbreak response network that uses data to support decision makers during public health emergencies.'Each of the grantees will help us move the nation forward in our efforts to better prepare and respond to infectious disease outbreaks that threaten our families and our communities,' said Dylan George, CFA's director.
德尔菲中心是CFA星期二宣布建立疫情应对网络的13个中心之一,该网络利用数据支持突发公共卫生事件期间的决策者CFA主任Dylan George说,每个受助者都将帮助我们推动国家前进,努力更好地准备和应对威胁我们家庭和社区的传染病爆发。
'We are committed to working alongside these outstanding partners to achieve our goal of using data and advanced analytics to support decision-makers at every level of government.''We are thrilled to join this community and support the important work of the CDC and CFA,' said Peter Jhon, executive director of the Delphi Research Group and strategic coordinator of public health research initiatives at CMU.
“我们致力于与这些杰出合作伙伴合作,实现我们使用数据和高级分析来支持各级政府决策者的目标。”德尔菲研究小组执行董事,CMU公共卫生研究计划战略协调员Peter Jhon说,我们很高兴加入这个社区并支持CDC和CFA的重要工作。
'Forecasting and modeling within a pandemic involves sorting through many data sources. Our work will streamline ingesting as many of these signals as possible and then apply machine learning and AI tools to inform public health officials in a clear and concise manner.'In the early days of the COVID-19 pandemic, Carnegie Mellon University's Delphi Research Group rapidly developed a massive data collection project that grew into the largest-ever public health survey and helped steer the response to the crisis. The Delphi Center will work with the other centers announced today to build the infrastructure to improve readiness and response during public health emergencies.
“大流行中的预测和建模涉及对许多数据源进行排序。我们的工作将简化摄入尽可能多的这些信号,然后应用机器学习和AI工具以清晰简洁的方式通知公共卫生官员。”在COVID-19大流行的早期,卡内基梅隆大学的德尔菲研究小组迅速开发了一个庞大的数据收集项目,该项目成为有史以来规模最大的公共卫生调查,并帮助引导应对危机。德尔菲中心将与今天宣布的其他中心合作,建立基础设施,以提高突发公共卫生事件的准备和响应。
The center will establish connections with state, tribal, local and territorial public health agencies and other local and national partners.Additionally, the center will expand training, career development and job placement in outbreak analytics and disease modeling with a focus on increased diversity.
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