Log-log of daily growth vs total cases is a neat graphics hack, one I'd not seen before, let alone thought of.
FT have been headlining a semi-log plot of deaths per country, normalised to days after the first ten deaths were reported.
https://www.ft.com/coronavirus-latest
Because dead bodies tend to behave characteristically, are inconvenient both directly and via surviving relations, and present a smaller testing target (about 1% of total cases) as well as representing a full course-of-illness endpoint, these data should be generally more reliable and cross-regionally consistent than confirmed cases. Deaths are, however, lagged by about two weeks.
FT also provide numerous other graphical representations, including an excellent small-multiples (Tufte fans) matrix of multiple countries' case trajectories.
My view is that all serious reporting should lead with similar visualisations.
Wikipedia's COVID-19 pages have similarly featured semi-log plots from early on, as does Worldometers.
https://en.wikipedia.org/wiki/2019–20_coronavirus_pandemic#D...
https://www.worldometers.info/coronavirus/
(Numerous additional pages with regional and specific behavioural characteristics within both sites.)
Anoter data visualiser, allowing arbitrary multi-country comparisons:
https://rys.io/covid/
FT have been headlining a semi-log plot of deaths per country, normalised to days after the first ten deaths were reported.
https://www.ft.com/coronavirus-latest
Because dead bodies tend to behave characteristically, are inconvenient both directly and via surviving relations, and present a smaller testing target (about 1% of total cases) as well as representing a full course-of-illness endpoint, these data should be generally more reliable and cross-regionally consistent than confirmed cases. Deaths are, however, lagged by about two weeks.
FT also provide numerous other graphical representations, including an excellent small-multiples (Tufte fans) matrix of multiple countries' case trajectories.
My view is that all serious reporting should lead with similar visualisations.
Wikipedia's COVID-19 pages have similarly featured semi-log plots from early on, as does Worldometers.
https://en.wikipedia.org/wiki/2019–20_coronavirus_pandemic#D...
https://www.worldometers.info/coronavirus/
(Numerous additional pages with regional and specific behavioural characteristics within both sites.)
Anoter data visualiser, allowing arbitrary multi-country comparisons:
https://rys.io/covid/