Stat has published a virtual issue compiling recent articles in the journal on COVID-19. Statistical Research on Coronavirus Disease (COVID-19) presents new statistical models, data analysis, and research findings on COVID-19. It covers a broad range of topics, including forecasting and mapping the outbreak, predicting regional and global mortality dynamics, studying the effects of social distancing and vaccine, predicting hospital demands and supplies, and so on. These works provide new tools to accelerate the research on COVID-19 and statistical insights to better understand its transmission and incubation, diagnosis and therapeutics, mitigation strategies and policies, vaccine development, and economic and social impacts. The virtual issue is available read now here.
Stat is an innovative electronic journal for the rapid publication of novel and topical research results, publishing compact articles of the highest quality in all areas of statistical endeavour. Its purpose is to provide a means of rapid sharing of important new theoretical, methodological and applied research.