There are a whole bunch of 2019-novel-coronavirus related notebooks, and this is the kind of event with large-scale public interest where data visualization and mathematical modeling is at its most powerful to influence people’s behavior and potentially save lives.
It would be neat if the Observable team could curate a collection of the best relevant notebooks (ordered by usefulness/relevance, not by creation date, so that the best stuff is most visible), put it at the top of the front page, and try to encourage the community to work with epidemiologists, virologists, doctors, et al. to (a) effectively communicate to the public what is happening, what is likely to happen, and what people can do about it and (b) help put together models where parameters and assumptions are tweakable, so experts can have a better tool than spreadsheets or shell scripts or whatever they are currently using to share ideas.
One of the best epidemiology summaries I have seen is a Medium blog post written by a Bay Area marketing executive, but it’s all statically rendered charts and models. Observable is a potentially better platform for this kind of thing if the plots can be rendered at runtime with the modeling done in the page, so that changing parameters is accessible to readers.