A dataset supporting a manuscript that uses existing influenza surveillance networks to estimate state-specific prevalence of SARS-CoV-2 in the United States. The data and code are provided by Justin D. Silverman of Pennsylvania State University to reproduce the study's results. The temporal coverage is likely aligned with the COVID-19 pandemic period.
Use Cases
- Estimate state-level SARS-CoV-2 prevalence based on influenza network infrastructure described in the manuscript
- Reproduce epidemiological modeling results using the provided code and data
- Compare surveillance network efficacy for different respiratory viruses as suggested by the study's premise
Strengths
- Data and code are provided for full reproducibility of the associated scientific manuscript
- Author affiliation with Pennsylvania State University suggests academic rigor
- License is Open Access (green), facilitating reuse
Limitations
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
- Last update date is unknown; freshness unverified
Provenance
- Source
- Pennsylvania State University
- Collection Method
- Likely derived from influenza surveillance network data, as described in the manuscript.
- Geography
- United States, state-level