We are a globally distributed project, spontaneously created to use semantic knowledge to tackle the viral pandemic. The world's scientific literature, when annotated and aggregated can be analysed with modern data analytics to find new patterns. We have built multiple dictionaries from Wikidata, faceted by scientific and social disciplines (country, disease, drug, funding, virus, etc. and created minicorpora (from EuropePMC and Redalyc) which are searched and annotated locally. The early applications include identification of main subjects within each facet, and occurrence of these subjects. Our dictionaries are multilingual (EN, HI, TA, UR, ES) and we're testing how well they search and annotate non-English sources. Our Open Source material (Apache2, CC BY) can be installed and run by non-specialists. This session will explore the role of global semantic knowledge, and seek collaboration with other parts of Wikimedia.