Here is a suggested interim PubMed search strategy to retrieve citations, including ahead-of-print citations, on the 2019 novel coronavirus and disease:
The WSU Data Catalog is being expanded to include COVID-19-related datasets that are potentially of use to WSU researchers across disciplines. For example,
Allen Institute for AI's COVID-19 Open Research Dataset is an extensive machine-readable collection of over 45,000 scholarly articles about COVID-19 and the coronavirus family of viruses, including over 33,000 with full text. This resource has great potential for exploitation by natural language processing techniques and text mining.
MIDAS' Online Portal for COVID-19 Modeling Research provides access to data, parameter estimates, and dashboards and visualizations produced by researchers using computational models to study the transmission dynamics of COVID-19.
The New York Times' Coronavirus (Covid-19) Data in the United States is a series of regularly updated data files with cumulative counts of coronavirus cases in the United States, at the state and county level, over time.
ClinicalTrials.gov—Clinical studies related to the novel coronavirus
Disaster Lit—Novel Coronavirus Infections
MedlinePlus Health Topic—Coronavirus Infections
NLM Disaster Information Management Research Center Information Guide—Coronavirus Infections (including 2019-nCoV, MERS-CoV and SARS)