Replication Data for: Combining aggregate and individual-level data to estimate individual-level associations between air pollution and COVID-19 mortality in the United States
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
Replication Data for: Combining aggregate and individual-level data to estimate individual-level associations between air pollution and COVID-19 mortality in the United States
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Identifier |
https://doi.org/10.7910/DVN/3ZU0AS
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Creator |
Woodward, Sophie
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Publisher |
Harvard Dataverse
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Description |
This is the data repository for publicly available data to reproduce analyses in Woodward, S., Wu, X., Hou, Z., Mork, D., Braun, D., Dominici, F., 2022. Combining aggregate and individual-level data to estimate individual-level associations between air pollution and COVID-19 mortality in the United States. For code, please visit https://github.com/NSAPH/PM_COVID_ecoinference/tree/main.
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Subject |
Mathematical Sciences
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Contributor |
Woodward, Sophie
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