The MIDAS Online Portal for COVID-19 Modeling Research is a clearinghouse for sharing datasets, published estimates on epidemiological characteristics (both peer-reviewed and non-), and software for dashboard monitoring, data processing, modeling, and visualization related to the 2019 novel coronavirus pandemic (formerly referred to as 2019-nCoV acute respiratory disease). Information in the portal...
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...