Enclosed for your benefit are screen-shots from our proprietary COVID-19 tracking and forecasting systems, which are updated live every 15 minutes. To understand the forecasting methodology better, please read this paper. Today we will focus initially on deaths rather than infections, because the fatality data are likely to be much more reliable than the poorly-estimated infection information.
There are a few interesting observations in the data. First, there is clear divergence in the death rates between Australia, Germany, the US, South Korea, and China ex Hubei, on the one hand, and Italy, France, Spain, the UK and Japan on the other.
On the lower left-hand-side of the first screenshot below you can see mortality rates over time. (Click on the image to see a better version of it.) There is one cluster of countries converging around 1% at the bottom (Australia, Germany, China, the US and South Korea) and others that are much, much higher (eg, Italy, Spain, the UK, France and Japan). (We can also lag the data by a week as you can see in the drop-down menu above the chart, but the same story holds.)
The higher death rates are likely a function of: (1) poor testing and detection that bias death rates up; (2) inferior health systems; (3) older populations -- the median age is higher in Italy (46), Spain (43), and the UK (41) compared with Australia (39), the US (38) and China (37); (4) the propensity to smoke (higher in Italy, Spain, Japan and France); and (5) the availability of effective anti-viral drugs that we have discussed before, such as hydroxychloroquine and remdesivir. (See our discussion of these drugs here.)
In the lower right-hand side chart in the image above, you can see the growth path of the number of deaths over time, and here again we observe large divergences. It is noticeable, for example, that people are passing away much more quickly in Spain, Italy, the UK, and France.
Our latest forecasts for the peak number of infections in the US and Australia as a function of the efficacy of their containment regimes remains unchanged (see next image). Assuming that the US and Australia are only 50% as effective at containment as South Korea and China, infection numbers should start rolling over in early to mid April. This is pushed out to late April if these countries are only half as good in containment terms as Italy. While the image below is a little hard to discern, each horizontal panel shows our forecasts for the number of new infections as a function of the US (top three panels) and Australia's (bottom three panels) containment strategies. Each row shows the US and Australia's forecast infection numbers assuming they are either 50% (first column) or 75% (second column) as effective as those observed in Italy (first row), China (second row) and South Korea (third row). If you want higher resolution images of these pictures, try the Livewire version of this note. We also discuss some limitations associated with this method here.
Great work Chris and i appreciate you sharing it. As per other comments there are numerous variables that may or not play out (i.e. more Cruise ships) however these articles give the lay person who is not an epidemiologist an understanding of possible scenarios ahead.
Hi Chris thanks for making your projections and forecasts available to us the general public , based on some factual data. it gives a good idea of how and why things are happening with the corona virus and comparisons between countries jeff