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

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 analysis....

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Detalles Bibliográficos
Autores principales: Badr, Hamada S., Zaitchik, Benjamin F., Kerr, Gaige H., Nguyen, Nhat-Lan H., Chen, Yen-Ting, Hinson, Patrick, Colston, Josh M., Kosek, Margaret N., Dong, Ensheng, Du, Hongru, Marshall, Maximilian, Nixon, Kristen, Mohegh, Arash, Goldberg, Daniel L., Anenberg, Susan C., Gardner, Lauren M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10245354/
https://www.ncbi.nlm.nih.gov/pubmed/37286690
http://dx.doi.org/10.1038/s41597-023-02276-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10245354/
https://www.ncbi.nlm.nih.gov/pubmed/37286690
http://dx.doi.org/10.1038/s41597-023-02276-y

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