[2020-03-24] Our forecasts are starting to overestimate in some cases. This was always expected to happen when the increase starts
to slow down. Scenario forecasts that are based on what happened in China earlier this year, but only for Italy and Spain sofar.
[2020-03-26] Scenario forecasts that are based on what happened in China earlier this year, only for Italy.
[2020-03-31] Scenario forecasts, based on what happened in China earlier this year, are presented for several countries (line marked with x).
Created more plausible 90% confidence bands (dotted line in same colour).
[2020-04-02] Now including more US States, based on New York Times data. And the world.
[2020-04-06] Added a post hoc estimate of the peak number of cases. This needs at least three confirmed observations (four for deaths)
after the event. It is based on the averaged smooth trend, and can change later or be a local peak. It is marked with a vertical line
with the date label, or a date with left arrow in the bottom left corner of the graph. This is backported to 2020-04-04.
[2020-04-08] Minor correction to peak estimates. Added table with scenario forecasts.
[2020-04-09] Added table with estimated peak dates (if happened) and dates to and since the peak. Note that this
can be a local peak, and subsequent re-acceleration (or data revisions) can result in a new peak later.
[2020-04-10] Updated documentation with better description of short-term estimates and peak determination.
[2020-04-16] Added scenario forecasts to all graphs now. This would now be the preferred forecast for most.
This is the first time with a peak in confirmed UK cases
(also for deaths, but this is uncertain because it is at the same date).
Bird and Nielsen
look into nowcasting death counts in England.
A summary of our work on short-term COVID-19 forecasting appeared as a voxeu
Our short-term COVID-19 forecasting paper is now available as
Nuffield Economics Discussion Paper 2020-W06
A small adjustment has been made to the scenario forecast methodology, and will be documented shortly.
See our blog entry at the
International Institute of Forecasters
US history of death counts revised in Johns Hopkins/CSSE data.
UK death counts have been revised to include the deaths in care homes.
In the Johns Hopkins/CSSE data set, which we use, the entire history has been revised. So forecasts made up to 2020-04-29
cannot be compared to later outcomes.
In the ECDC data set only the last observation has changed, causing a jump in the series.
The New York Times is in the process of redefining its US state data. Unfortunately, at the moment only the last observation has changed
(e.g New York deaths jumped from 19645 on 2020-05-05 to 25956 a day later). This means the data is currently useless; however it does bring it close
to the Johns Hopkins/CSSE count (25626 on 2020-05-06). The aggregate US count is based on JH/CSSE so unaffected.
We now use Johns Hopkins/CSSE US state data, including all states with sufficient counts. So the new forecasts cannot be compared to those previously.
A minor change is that we show the graph without scenario forecast if no peak has been detected yet.
We now omit countries with fewer than 200 confirmed cases in the last week (25 for deaths).
The short-term paper has some small updates, including further comparisons with other models.
Data for Ecuador are not reliable enough for forecasting.
Switched to an improved version of scenario forecasting.
Minor fixes to the improved version of scenario forecasting, backported to 2020-05-13.
Problem with UK confirmed cases: negative daily count.
This makes the forecasts unreliable.
Updated the second paper