Coronavirus – forecasting numbers

A few people might have seen the Johns Hopkins University Medical School chart on Covid-19 infection rates in different countries. They have produced many different outputs, some of them interactive world incidence models – see https://coronavirus.jhu.edu/map.html. This particular chart usefully compares some various national growth rates with straight lines representing different periods over which theContinue reading “Coronavirus – forecasting numbers”

Coronavirus modelling – GLEAMviz15

Here’s the kind of stuff that the Covid-19 modellers will be doing. https://www.nature.com/articles/srep46076.pdf I have downloaded GleamViz, http://www.gleamviz.org/simulator/client/, and it is quite complicated to set up (I used to have a little Windows app called Wildfire that just needed a few numbers to get a pictorial progression of life/recovery/death from the disease, depending on infectivity,Continue reading “Coronavirus modelling – GLEAMviz15”