A call for a new generation of COVID-19 models
Population density, age distributions, poverty and uninsured rates, the number of essential frontline workers, and co-morbidity factors can also be included. [...]many more data sources are in the works, like open patient data registries, the National Institutes of Health’s (NIH) study of asymptomat...
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Published in | TechTank [BLOG] |
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Main Author | |
Format | Web Resource |
Language | English |
Published |
Washington
The Brookings Institution
23.04.2020
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Subjects | |
Online Access | Get full text |
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Summary: | Population density, age distributions, poverty and uninsured rates, the number of essential frontline workers, and co-morbidity factors can also be included. [...]many more data sources are in the works, like open patient data registries, the National Institutes of Health’s (NIH) study of asymptomatic persons, self-reported symptoms data from Facebook, and (potentially) new randomized surveys. [...]there are so many diverse and relevant data streams, that models can add value simply be consolidating daily information into just a few top-line numbers that are comparable across the nation. |
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Bibliography: | ObjectType-Blog-1 SourceType-Blogs, Podcasts, & Websites-1 content type line 39 |