Unified real-time environmental-epidemiological data for multiscale modeling of the COVID-19 pandemic

Unified real-time environmental-epidemiological data for multiscale modeling of the COVID-19 pandemic

Abstract An impressive number of COVID-19 data catalogs exist. However, none are fully optimized for data science applications. Inconsistent naming and data conventions, uneven quality control, and lack of alignment between disease data and potential predictors pose barriers to robust modeling and a...

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Bibliographic Details
Main Authors: Hamada S. Badr, Benjamin F. Zaitchik, Gaige H. Kerr, Nhat-Lan H. Nguyen, Yen-Ting Chen, Patrick Hinson, Josh M. Colston, Margaret N. Kosek, Ensheng Dong, Hongru Du, Maximilian Marshall, Kristen Nixon, Arash Mohegh, Daniel L. Goldberg, Susan C. Anenberg, Lauren M. Gardner
Format: Article
Language:English
Published: Nature Portfolio 2023-06-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-023-02276-y

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https://doi.org/10.1038/s41597-023-02276-y

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