Having built a model to forecast the future progression of coronavirus in different geographical locations, and calibrated assumptions to match the UK experience, I regularly check the forecasts against reported figures.
In the UK there are several different sources for coronavirus related data. The headline figures (those with greatest media focus) are published alongside the government’s daily press conference. Slightly unhelpfully, the government changed their definition of deaths on 29 April 2020 – moving from UK hospital deaths (although, peculiarly, the definition also included non-hospital deaths outside England) to “all-settings” deaths across the UK. The change to “all-settings” does make sense because it encompasses more COVID-19 deaths.
However, there is a further set of UK deaths figures, from the Office of National Statistics, these provide an even more complete picture of COVID-19 deaths. Unlike the Public Heath England deaths, used in the government’s press briefings, which only include positive tests, the ONS figures include all deaths where COVID-19 is mentioned on the death certificate (as described in this well written explanation). The ONS figures are published weekly, and there is a time lag, but they are the probably the best data source.
The government have been including the ONS figures, weekly, labelled as “all settings” deaths in their press briefings. But, confusingly, they now call the PHE data “all settings” deaths – even though the definitions are different.
A further issue with deaths reported at the UK press briefings is that they are shown for the day that the death is reported. This can be helpful for quickly seeing the trend in deaths – but isn’t ideal for analysis, because a reported death may have occurred weeks beforehand. Date of death data is preferable for analysis – but deaths from the most recent days are unlikely to be fully reported. NHS England provide date of death data.
I’ve compared my model against the different data sources to establish its accuracy as follows:
- Comparison against government reported figures 6 May 2020
The first graph shows my model’s daily forecast against the government’s reported “all settings” figures. The reported figures are volatile from day to day, so it’s not easy to see the full trend.
Using a 7 day rolling average better illustrates the trend
The graph above shows the cumulative reported death figures compared to the forecast. The model is tracking above the reported figures. However, I’ve also included the weekly ONS data on this graph (the black dots), which has a wider definition of COVID-19 deaths, the last of which (17 April 2020) was above both my model and the reported all-settings data.
2. NHS data of death data
NHS England publish date of death data for hospital deaths in England. I’ve adapted my model for England (rather than UK) by adjusting the starting population to 56 million, and reducing the number of imported cases – to produce the following comparison:
These show hospital only deaths, without the reporting lag, from my model to compare with date-of-death figures. Deaths from most recent days wont yet be reported, which is one reason why the model produces higher figures for most recent dates.
I set out the actual numbers for these graphs, and future forecasts, below. These all assume the current UK full lockdown continues:
Date | Total deaths model (all settings) | Total reported deaths (PHE all settings) | Total reported deaths ONS (all settings) | Daily deaths model (all deaths) | Daily reported (PHE all settings) |
08/03/2020 | 19 | 2 | 4 | 0 | |
09/03/2020 | 25 | 3 | 6 | 1 | |
10/03/2020 | 32 | 7 | 7 | 4 | |
11/03/2020 | 41 | 7 | 9 | 0 | |
12/03/2020 | 52 | 9 | 11 | 2 | |
13/03/2020 | 65 | 10 | 13 | 1 | |
14/03/2020 | 82 | 28 | 17 | 18 | |
15/03/2020 | 102 | 43 | 20 | 15 | |
16/03/2020 | 127 | 65 | 25 | 22 | |
17/03/2020 | 158 | 81 | 31 | 16 | |
18/03/2020 | 196 | 115 | 38 | 34 | |
19/03/2020 | 242 | 158 | 46 | 43 | |
20/03/2020 | 298 | 194 | 56 | 36 | |
21/03/2020 | 367 | 250 | 69 | 56 | |
22/03/2020 | 451 | 285 | 84 | 35 | |
23/03/2020 | 554 | 359 | 103 | 74 | |
24/03/2020 | 679 | 508 | 125 | 149 | |
25/03/2020 | 832 | 694 | 153 | 186 | |
26/03/2020 | 1018 | 877 | 186 | 183 | |
27/03/2020 | 1245 | 1161 | 226 | 284 | |
28/03/2020 | 1518 | 1455 | 274 | 294 | |
29/03/2020 | 1847 | 1669 | 329 | 214 | |
30/03/2020 | 2240 | 2043 | 393 | 374 | |
31/03/2020 | 2705 | 2425 | 464 | 382 | |
01/04/2020 | 3246 | 3095 | 542 | 670 | |
02/04/2020 | 3869 | 3747 | 623 | 652 | |
03/04/2020 | 4573 | 4461 | 4526 | 704 | 714 |
04/04/2020 | 5356 | 5221 | 783 | 760 | |
05/04/2020 | 6210 | 5865 | 854 | 644 | |
06/04/2020 | 7125 | 6433 | 916 | 568 | |
07/04/2020 | 8090 | 7471 | 965 | 1038 | |
08/04/2020 | 9090 | 8505 | 1000 | 1034 | |
09/04/2020 | 10112 | 9608 | 1022 | 1103 | |
10/04/2020 | 11144 | 10760 | 11413 | 1032 | 1152 |
11/04/2020 | 12175 | 11599 | 1031 | 839 | |
12/04/2020 | 13197 | 12285 | 1022 | 686 | |
13/04/2020 | 14203 | 13029 | 1006 | 744 | |
14/04/2020 | 15190 | 14073 | 987 | 1044 | |
15/04/2020 | 16156 | 14915 | 965 | 842 | |
16/04/2020 | 17099 | 15944 | 943 | 1029 | |
17/04/2020 | 18018 | 16879 | 20909 | 920 | 935 |
18/04/2020 | 18916 | 17994 | 897 | 1115 | |
19/04/2020 | 19790 | 18492 | 875 | 498 | |
20/04/2020 | 20643 | 19051 | 853 | 559 | |
21/04/2020 | 21474 | 20223 | 831 | 1172 | |
22/04/2020 | 22284 | 21060 | 810 | 837 | |
23/04/2020 | 23073 | 21787 | 789 | 727 | |
24/04/2020 | 23841 | 22792 | 768 | 1005 | |
25/04/2020 | 24589 | 23635 | 748 | 843 | |
26/04/2020 | 25317 | 24055 | 728 | 420 | |
27/04/2020 | 26026 | 24393 | 708 | 338 | |
28/04/2020 | 26714 | 25302 | 689 | 909 | |
29/04/2020 | 27384 | 26097 | 670 | 795 | |
30/04/2020 | 28034 | 26771 | 651 | 674 | |
01/05/2020 | 28667 | 27510 | 632 | 739 | |
02/05/2020 | 29281 | 28131 | 614 | 621 | |
03/05/2020 | 29877 | 28446 | 596 | 315 | |
04/05/2020 | 30456 | 28734 | 579 | 288 | |
05/05/2020 | 31018 | 562 | |||
06/05/2020 | 31563 | 545 | |||
07/05/2020 | 32092 | 529 | |||
08/05/2020 | 32605 | 513 | |||
09/05/2020 | 33103 | 497 | |||
10/05/2020 | 33585 | 482 | |||
11/05/2020 | 34052 | 467 | |||
12/05/2020 | 34505 | 453 | |||
13/05/2020 | 34944 | 439 | |||
14/05/2020 | 35369 | 425 | |||
15/05/2020 | 35781 | 412 | |||
16/05/2020 | 36180 | 399 | |||
17/05/2020 | 36566 | 386 | |||
18/05/2020 | 36939 | 374 | |||
19/05/2020 | 37301 | 362 | |||
20/05/2020 | 37651 | 350 | |||
21/05/2020 | 37989 | 339 | |||
22/05/2020 | 38317 | 327 | |||
23/05/2020 | 38634 | 317 | |||
24/05/2020 | 38940 | 306 | |||
25/05/2020 | 39236 | 296 | |||
26/05/2020 | 39523 | 286 | |||
27/05/2020 | 39800 | 277 | |||
28/05/2020 | 40067 | 268 | |||
29/05/2020 | 40326 | 259 | |||
30/05/2020 | 40576 | 250 | |||
31/05/2020 | 40817 | 242 | |||
01/06/2020 | 41051 | 233 | |||
02/06/2020 | 41276 | 226 | |||
03/06/2020 | 41494 | 218 | |||
04/06/2020 | 41705 | 210 | |||
05/06/2020 | 41908 | 203 | |||
06/06/2020 | 42104 | 196 | |||
07/06/2020 | 42294 | 190 | |||
08/06/2020 | 42477 | 183 | |||
09/06/2020 | 42653 | 177 | |||
10/06/2020 | 42824 | 171 | |||
11/06/2020 | 42989 | 165 | |||
12/06/2020 | 43148 | 159 | |||
13/06/2020 | 43301 | 153 | |||
14/06/2020 | 43449 | 148 | |||
15/06/2020 | 43592 | 143 | |||
16/06/2020 | 43730 | 138 | |||
17/06/2020 | 43864 | 133 | |||
18/06/2020 | 43992 | 129 | |||
19/06/2020 | 44116 | 124 | |||
20/06/2020 | 44236 | 120 | |||
21/06/2020 | 44351 | 115 | |||
22/06/2020 | 44463 | 111 | |||
23/06/2020 | 44570 | 108 | |||
24/06/2020 | 44674 | 104 | |||
25/06/2020 | 44774 | 100 | |||
26/06/2020 | 44871 | 97 | |||
27/06/2020 | 44964 | 93 | |||
28/06/2020 | 45054 | 90 | |||
29/06/2020 | 45140 | 87 | |||
30/06/2020 | 45224 | 84 | |||
01/07/2020 | 45304 | 81 | |||
02/07/2020 | 45382 | 78 | |||
03/07/2020 | 45457 | 75 | |||
04/07/2020 | 45530 | 72 | |||
05/07/2020 | 45600 | 70 | |||
06/07/2020 | 45667 | 67 | |||
07/07/2020 | 45732 | 65 | |||
08/07/2020 | 45794 | 63 | |||
09/07/2020 | 45855 | 60 | |||
10/07/2020 | 45913 | 58 | |||
11/07/2020 | 45969 | 56 | |||
12/07/2020 | 46024 | 54 | |||
13/07/2020 | 46076 | 52 | |||
14/07/2020 | 46126 | 50 | |||
15/07/2020 | 46175 | 49 | |||
16/07/2020 | 46222 | 47 | |||
17/07/2020 | 46267 | 45 | |||
18/07/2020 | 46311 | 44 | |||
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20/07/2020 | 46394 | 41 | |||
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23/07/2020 | 46507 | 36 | |||
24/07/2020 | 46542 | 35 | |||
25/07/2020 | 46576 | 34 | |||
26/07/2020 | 46609 | 33 | |||
27/07/2020 | 46641 | 32 | |||
28/07/2020 | 46671 | 30 | |||
29/07/2020 | 46701 | 29 | |||
30/07/2020 | 46729 | 28 | |||
31/07/2020 | 46756 | 27 | |||
01/08/2020 | 46783 | 26 | |||
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11/08/2020 | 47002 | 19 | |||
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17/08/2020 | 47100 | 15 | |||
18/08/2020 | 47115 | 15 | |||
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20/08/2020 | 47143 | 14 | |||
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27/08/2020 | 47226 | 11 | |||
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30/08/2020 | 47256 | 10 | |||
31/08/2020 | 47265 | 9 | |||
01/09/2020 | 47274 | 9 | |||
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03/09/2020 | 47292 | 9 | |||
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01/10/2020 | 47449 | 4 | |||
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11/10/2020 | 47481 | 3 |