DATABASE
Nextstrain is an open-source project to harness the scientific and public health potential of pathogen genome data. This web site provides a continually-updated view of publicly available data alongside powerful analytic and visualization tools for use by the community. The main goal is to aid epidemiological understanding and improve outbreak response. Specific data concern COVID19 with classification by geographic area.
An open-resource literature hub known as LitCovid curates the most comprehensive collection of international research papers so far on the new coronavirus disease COVID-19. Developed with the support of the US National Institutes of Health’s intramural research programme, LitCovid is updated daily with newly published articles. The aim is to provide timely insight from the scientific literature into the biology of the virus and the diagnosis and management of those who have been infected.
LitCovid has a more sophisticated search function than existing resources. It identifies roughly 35% more relevant articles than do conventional keyword-based searches for entries such as ‘COVID-19’ or ‘nCOV’. Furthermore, the articles are categorized by topic — overview, disease mechanism, transmission dynamics, treatment, case report and epidemic forecasting — as well as by geographic location for visualization on a world map.
https://www.ncbi.nlm.nih.gov/research/coronavirus/
Repository of John Hopkins University
https://github.com/CSSEGISandData/COVID-19/
This site is made up of archives of preprint repositories dedicated to biological sciences
https://www.biorxiv.org/
