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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Bibliographic Details
Published inTechTank [BLOG]
Main Author Engler, Alex
Format Web Resource
LanguageEnglish
Published Washington The Brookings Institution 23.04.2020
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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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