This project describes a protocol to analyze publicly available transcriptomic data from the NCBI Gene Expression Database (GEO) using in silico approach. This involved identifying SARS-CoV-2 infection-induced differentially Expressed (DE) genes from human gene mapping and viral mapping, statistically enriched pathway associations, and potentially repurposable drugs for COVID-19 treatment. Further...
This dataset was generated from a survey that assessed participants’ knowledge, perceived risk, perceived seriousness, anxiety, adoption of prevention behaviors and source of information related to COVID-19. The survey was conducted anonymously among a non-random sample of 464 Connecticut residents in the early stage of social distancing and shutdown from March 23 to March 29, 2020. Participants...