Metadata: A case-crossover analysis of short-term PM2.5 exposure and COVID19-related hospitalizations in the National COVID Cohort Collaborative

The dataset contains publicly available data on PM2.5 concentrations from air quality monitors as well as electronic health records from the National COVID Cohort Collaborative. The data is stored in tabular format. This dataset is not publicly accessible because: The data contains PII and PHI which cannot be included in ScienceHub or exported from their secure environment. It can be accessed through the following means: The data can be accessed through the National COVID Cohort Collaborative (now called the National Clinical Cohort Collaborative; https://covid.cd2h.org/). Format: The dataset contains publicly available data on PM2.5 concentrations from air quality monitors as well as electronic health records from the National COVID Cohort Collaborative. The data is stored in tabular format. This dataset is associated with the following publication: Ward-Caviness, C., A. Platt, E. Fisher, A. Weaver, M. Bell, and M. Bravo. A case-crossover analysis of short-term PM2.5 exposure and COVID19-related hospitalizations in the National Clinical Cohort Collaborative. Nature Communications. Nature Portfolio, Berlin, GERMANY, 5: 459, (2025).

                                            [
  "020:00"
]
                                        

                                            {
  "fn": "Cavin Ward-Caviness",
  "hasEmail": "mailto:ward-caviness.cavin@epa.gov"
}
                                        

                                            []
                                        

                                            [
  "COVID-19",
  "air pollution",
  "hospitalization"
]
                                        

                                            [
  "020:000"
]
                                        

                                            {
  "name": "U.S. Environmental Protection Agency",
  "subOrganizationOf": {
    "name": "U.S. Government"
  }
}
                                        

                                            [
  "https://doi.org/10.1038/s43856-025-01063-7",
  "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12594757"
]
                                        

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