ICAR Research Data Repository for Knowledge Management
Replication Data for: Using digital traces to build prospective and real-time county-level early warning systems to anticipate COVID-19 outbreaks in the United States
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
View Archive Info| Field | Value | |
| Title |
Replication Data for: Using digital traces to build prospective and real-time county-level early warning systems to anticipate COVID-19 outbreaks in the United States
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| Identifier |
https://doi.org/10.7910/DVN/TKCJGL
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| Creator |
Stolerman, Lucas
Clemente, Leonardo Santillana, Mauricio |
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| Publisher |
Harvard Dataverse
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| Description |
Data and code to reproduce experiment results in Using digital traces to build prospective and real-time county-level early warning systems to anticipate COVID-19 outbreaks in the United States
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| Subject |
Computer and Information Science
Medicine, Health and Life Sciences |
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| Contributor |
Leonardo, Cesar
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