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Rapid Expert Consultation on Data Elements and Systems Design for Modeling and Decision Making for the COVID-19 Pandemic (March 21, 2020)
Pages 16-19

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From page 16...
... 3. Depending on the intended range of users and uses, the relevant data may include disease surveillance, longitudinal clinical health information, human genomic data, viral genomic data, medical supplies and logistics, and sociodemographic and behavioral data.
From page 17...
... , the NSSP is comparing emergency room symptoms with test results to assess divergence, which could indicate COVID-19 infections in those communities. The Flu Near You program out of HealthMap and the American Public Health Association is a participatory surveillance program that allows the public to report symptoms by geographic location.
From page 18...
... MIDAS has an online portal to share data and information regarding the COVID-19 pandemic and could be used as a resource for decision makers. To assist with forecasting disease progression and identifying important clinical markers before we obtain more data on COVID-19 in the United States, data from other countries, such as the daily number of hospitalizations, intensive care admissions, ventilator use, and deaths, can be used in forecasting expected epidemic progression and assist with clinical care decisions.
From page 19...
... Ned Calonge, The Colorado Trust; Marie Griffin and Kevin Johnson, Vanderbilt University Medical Center; Sandro Galea, Boston University; and Isaac Kohane, Harvard Medical School, reviewed this document, and Ellen Wright Clayton, Vanderbilt University, approved the document as monitor on behalf of the Report Review Committee. Should you desire more substantive and detailed recommendations on system design and content, we would be happy to take this up over a suitable time frame.


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