COVID-19 short-term forecasts Deaths 2020-07-24


Gnereal information

  • Forecasts produced by Jennie Castle, Jurgen Doornik, and David Hendry, researchers at the University of Oxford. These are our forecasts, and should not be considered official forecasts from, or endorsed by, any of: University of Oxford, Oxford Martin School, Nuffield College, or Magdalen College.
  • These forecasts are short term time-series extrapolations of the data. They are not based on epidemiological modelling or simulations. All forecasts are uncertain: their success can only be determined afterwards. Many mitigation strategies are in place, which, if successful, invalidate our forecasts. An explanation of our methods is provided below.
  • A list of notes is below. The most recent note:
    [2020-07-01] Modified the short-term model to allow for (slowly changing) seasonality. Many countries show clear seasonality after the initial period, likely caused by institutional factors regarding data collection. This seasonality was also getting in the way of peak detection. As a consequence estimates of the peak date may have changed for countries with strong seasonality.
    Added forecasts of cumulative confirmed cases for lower tier local authorities of England. The data is available from 2020-07-02 including all tests (pillar one and two). Only authorities with more than 5 cases in the previous week are included.

Peak increase in estimated trend of Deaths in Europe 2020-07-24

UKEUATBEBGBSCZDEDKESFIFRGRHUIEITNLPLPTROSENOCH
Peak date04-0904-0404-0604-15 --04-1104-0804-1504-0403-3104-2104-0804-0304-1904-2403-2904-0404-2504-1505-0304-2104-0704-06
Peak daily increment 984 3121 20 322 7 10 226 15 945 31 944 5 13 167 781 153 23 31 25 94 8 60
Days from 100 to peak 22 31 7 22 0 0 22 3 18 1 23 -11 6 21 25 15 19 17 31 24 -2 14
Days from peak/2 to peak 16 21 16 21 22 13 22 15 14 20 18 18 26 22 20 16 31 23 39 27 20 19
Last total 45677 135410 711 9817 337 261 369 9120 613 28432 329 30081 201 596 1763 35097 6139 1655 1712 2150 5697 255 1977
Last daily increment 123 102 0 5 8 0 4 10 1 3 1 9 0 0 0 5 0 4 7 24 21 0 2
Last week 404 517 0 17 38 1 11 29 2 12 1 35 7 0 10 55 3 37 28 141 78 0 8
Days since peak 106 111 109 100 104 107 100 111 115 94 107 112 96 91 117 111 90 100 82 94 108 109

Peak increase in estimated trend of Deaths 2020-07-24

BrazilCanadaChileColombiaIndiaIndonesiaIranMexicoPeruPhilippinesRussiaSouth AfricaTurkeyUSUS-ALUS-ARUS-AZUS-CAUS-COUS-CTUS-DCUS-DEUS-FLUS-GAUS-IAUS-ILUS-INUS-KSUS-KYUS-LAUS-MAUS-MDUS-MIUS-MNUS-MOUS-MSUS-NCUS-NEUS-NHUS-NJUS-NMUS-NVUS-NYUS-OHUS-OKUS-ORUS-PAUS-SCUS-TNUS-TXUS-UTUS-VAUS-WAUS-WI
Peak date --05-0607-17 --06-16 -- --06-23 --07-1205-29 --04-1504-14 --04-09 -- --04-2404-2004-29 -- -- --05-2105-1205-0104-1404-1404-1404-2504-2904-1405-2904-30 -- --05-2005-2906-2505-11 --04-0904-2904-16 --05-05 -- -- -- --04-2204-0604-11
Peak daily increment 168 731 1662 707 97 171 120 2161 8 71 106 11 14 112 42 6 10 64 453 56 137 23 17 41 28 1554 9 999 76 7 137 105 25 12
Days from 100 to peak 36 93 72 78 102 48 18 29 -37 21 18 10 27 41 27 -7 0 17 23 22 17 42 21 0 16 85 14 20 25 3 32 7 15 2
Days from peak/2 to peak 37 64 52 70 108 49 20 20 9 27 20 30 50 44 35 19 19 21 20 27 18 57 35 30 31 81 39 15 30 22 33 10 30 18
Last total 85238 8923 8914 7975 31358 4665 15289 42645 17843 1879 13026 6343 5580 145546 1395 394 3143 8337 1790 4413 581 568 5653 3363 826 7385 2687 329 691 3603 8491 3407 6327 1566 1152 1463 1789 316 407 15765 601 722 32596 3297 484 282 7116 1385 923 4790 221 2067 1495 878
Last daily increment 1156 4 76 287 757 89 215 737 189 8 153 250 17 1130 38 8 80 136 4 3 0 48 135 78 6 18 4 8 7 29 14 7 5 5 6 27 33 2 2 35 5 13 2 41 7 9 23 51 13 168 5 13 14 0
Last week 6466 31 469 1459 4542 649 1310 3757 4845 106 798 1395 105 5427 142 37 413 635 38 17 3 54 758 263 37 95 60 22 24 204 79 51 36 28 54 117 141 17 11 66 32 76 118 165 33 25 101 250 96 851 24 42 51 35
Days since peak 79 7 38 31 12 56 100 101 106 91 95 86 64 73 84 101 101 101 90 86 101 56 85 65 56 29 74 106 86 99 80 93 109 104

Deaths count forecast Europe (bold red line in graphs) 2020-07-25 to 2020-07-31

DateUKEUBGDEFRITPLPTROSE
2020-07-24 45677 135410 337 9120 30081 35097 1655 1712 2150 5697
2020-07-25 45790 135500 341 9126 30090 35110 1669 1717 2171 5710
2020-07-26 45800 135600 346 9126 30090 35120 1672 1721 2191 5710
2020-07-27 45800 135700 357 9127 30090 35130 1674 1726 2211 5724
2020-07-28 45910 135800 366 9132 30100 35140 1684 1731 2231 5731
2020-07-29 46000 135800 375 9137 30100 35150 1690 1735 2251 5754
2020-07-30 46050 135900 384 9144 30110 35160 1697 1740 2271 5766
2020-07-31 46150 136000 394 9150 30110 35170 1702 1744 2291 5786

Deaths count forecast (bold red line in graphs) 2020-07-25 to 2020-07-31

DateBrazilCanadaChileColombiaIndiaIndonesiaIranMexicoPeruPhilippinesRussiaSouth AfricaTurkeyUSUS-ALUS-ARUS-AZUS-CAUS-COUS-DEUS-FLUS-GAUS-IAUS-ILUS-INUS-KSUS-KYUS-LAUS-MAUS-MDUS-MIUS-MNUS-MOUS-MSUS-NCUS-NJUS-NMUS-NVUS-NYUS-OHUS-OKUS-ORUS-PAUS-SCUS-TNUS-TXUS-UTUS-VAUS-WAUS-WI
2020-07-24 85238 8923 8914 7975 31358 4665 15289 42645 17843 1879 13026 6343 5580 145546 1395 394 3143 8337 1790 568 5653 3363 826 7385 2687 329 691 3603 8491 3407 6327 1566 1152 1463 1789 15765 601 722 32596 3297 484 282 7116 1385 923 4790 221 2067 1495 878
2020-07-25 87230 8931 9042 8171 32150 4696 15440 43220 18300 1896 13240 6568 5598 145700 1422 399 3212 8521 1790 573 5902 3440 831 7410 2697 331 700 3655 8508 3416 6336 1571 1152 1491 1824 15960 605 722 32620 3297 484 286 7140 1411 954 5035 224 2077 1500 878
2020-07-26 88740 8938 9118 8449 32890 4823 15640 43450 18720 1909 13330 6805 5615 146200 1449 405 3279 8614 1790 579 6021 3517 835 7416 2699 333 702 3708 8526 3425 6344 1574 1152 1517 1861 15970 610 723 32640 3317 484 290 7144 1435 964 5164 225 2088 1506 879
2020-07-27 90170 8946 9225 8653 33620 4933 15860 43800 19410 1924 13410 7052 5633 146700 1477 410 3345 8732 1792 586 6149 3594 841 7420 2701 335 705 3752 8545 3434 6352 1577 1152 1533 1898 15990 614 726 32660 3332 486 295 7145 1459 975 5299 229 2098 1512 880
2020-07-28 92560 8954 9293 8940 34330 5024 16070 44690 20070 1936 13570 7309 5650 147700 1506 415 3410 8917 1800 593 6339 3674 849 7443 2719 337 709 3801 8565 3442 6360 1580 1152 1582 1937 16060 618 743 32680 3358 493 300 7171 1511 1003 5478 234 2109 1518 891
2020-07-29 94730 8961 9382 9213 35050 5168 16270 45410 20760 1949 13720 7578 5667 148700 1537 420 3474 9152 1808 600 6511 3755 854 7463 2731 339 714 3856 8585 3451 6368 1585 1152 1628 1976 16060 622 765 32700 3371 502 305 7194 1563 1025 5664 242 2119 1524 895
2020-07-30 97140 8969 9489 9587 35770 5297 16490 46130 21480 1962 13870 7857 5684 149800 1568 425 3540 9375 1819 607 6721 3839 860 7483 2745 342 720 3893 8606 3459 6375 1593 1152 1659 2016 16060 627 774 32720 3393 506 310 7212 1626 1060 5870 249 2130 1530 905
2020-07-31 99320 8977 9615 9954 36500 5420 16680 46830 22230 1975 14020 8148 5701 150700 1600 430 3606 9587 1826 614 6901 3924 864 7501 2750 344 727 3914 8627 3468 6383 1598 1159 1693 2057 16060 631 783 32740 3423 512 315 7235 1681 1081 6093 253 2141 1537 905

Deaths count average forecast Europe (bold black line in graphs) 2020-07-25 to 2020-07-31

DateUKEUBGDEFRITPLPTROSE
2020-07-24 45677 135410 337 9120 30081 35097 1655 1712 2150 5697
2020-07-25 45710 135400 339 9121 30090 35100 1659 1716 2163 5697
2020-07-26 45730 135500 344 9122 30100 35110 1663 1720 2183 5697
2020-07-27 45760 135600 352 9122 30110 35120 1667 1724 2204 5704
2020-07-28 45830 135700 360 9125 30110 35130 1673 1729 2224 5710
2020-07-29 45900 135800 368 9128 30120 35140 1679 1733 2245 5730
2020-07-30 45950 135900 375 9135 30130 35160 1684 1738 2266 5743
2020-07-31 46020 135900 383 9138 30140 35170 1690 1743 2288 5762

Deaths count average forecast (bold black line in graphs) 2020-07-25 to 2020-07-31

DateBrazilCanadaChileColombiaIndiaIndonesiaIranMexicoPeruPhilippinesRussiaSouth AfricaTurkeyUSUS-ALUS-ARUS-AZUS-CAUS-COUS-DEUS-FLUS-GAUS-IAUS-ILUS-INUS-KSUS-KYUS-LAUS-MAUS-MDUS-MIUS-MNUS-MOUS-MSUS-NCUS-NJUS-NMUS-NVUS-NYUS-OHUS-OKUS-ORUS-PAUS-SCUS-TNUS-TXUS-UTUS-VAUS-WAUS-WI
2020-07-24 85238 8923 8914 7975 31358 4665 15289 42645 17843 1879 13026 6343 5580 145546 1395 394 3143 8337 1790 568 5653 3363 826 7385 2687 329 691 3603 8491 3407 6327 1566 1152 1463 1789 15765 601 722 32596 3297 484 282 7116 1385 923 4790 221 2067 1495 878
2020-07-25 86750 8926 8990 8190 31820 4737 15390 43080 18410 1900 13150 6498 5597 145900 1414 398 3202 8465 1791 571 5788 3411 829 7400 2696 330 696 3620 8504 3414 6334 1569 1155 1484 1819 15790 605 729 32610 3297 487 285 7126 1417 940 4942 223 2070 1497 879
2020-07-26 88310 8931 9056 8490 32490 4880 15570 43290 19210 1928 13260 6749 5614 146200 1438 403 3277 8567 1793 575 5920 3466 833 7408 2698 330 699 3643 8519 3422 6342 1572 1159 1505 1851 15810 609 735 32620 3313 489 290 7134 1445 960 5078 225 2076 1501 880
2020-07-27 89860 8937 9143 8740 33200 5004 15750 43610 20110 1957 13370 7035 5631 146600 1467 409 3354 8697 1795 579 6057 3523 838 7416 2700 331 703 3664 8536 3431 6351 1575 1163 1520 1887 15850 614 742 32640 3328 492 294 7139 1469 981 5227 229 2082 1505 881
2020-07-28 92240 8943 9220 9020 33920 5122 15940 44530 21070 1985 13510 7335 5648 147500 1499 415 3432 8909 1800 583 6237 3597 843 7436 2717 333 708 3690 8553 3440 6359 1578 1167 1560 1924 15900 618 759 32650 3358 498 301 7159 1527 1004 5400 233 2091 1511 890
2020-07-29 94450 8949 9299 9320 34650 5260 16110 45270 22120 2012 13670 7651 5666 148200 1535 421 3511 9157 1807 588 6407 3663 849 7454 2729 334 713 3714 8569 3448 6367 1583 1171 1598 1963 15920 623 774 32670 3372 503 305 7178 1580 1027 5624 242 2102 1517 894
2020-07-30 96830 8955 9397 9710 35390 5383 16300 45970 23260 2048 13820 7979 5683 149000 1572 427 3593 9391 1812 592 6608 3727 854 7474 2740 336 719 3739 8587 3457 6375 1591 1176 1627 2001 15940 627 787 32690 3391 508 311 7197 1649 1052 5858 247 2115 1523 899
2020-07-31 99180 8961 9540 10080 36150 5511 16450 46690 24520 2080 13980 8321 5700 149700 1609 433 3676 9605 1818 597 6820 3804 858 7492 2746 338 725 3764 8604 3465 6383 1596 1183 1660 2041 15960 632 800 32710 3410 514 317 7216 1698 1076 6103 250 2123 1530 900

Deaths count scenario forecast (bold purple line in graphs) 2020-07-25 to 2020-08-02

DateUKEUBGDEFRITPLPTROSEBrazilCanadaChileColombiaIndiaIndonesiaIranMexicoPeruPhilippinesRussiaSouth AfricaTurkeyUSUS-ALUS-ARUS-AZUS-CAUS-COUS-DEUS-FLUS-GAUS-IAUS-ILUS-INUS-KSUS-KYUS-LAUS-MAUS-MDUS-MIUS-MNUS-MOUS-MSUS-NCUS-NJUS-NMUS-NVUS-NYUS-OHUS-OKUS-ORUS-PAUS-SCUS-TNUS-TXUS-UTUS-VAUS-WAUS-WI
2020-07-24 45677 135410 337 9120 30081 35097 1655 1712 2150 5697 85238 8923 8914 7975 31358 4665 15289 42645 17843 1879 13026 6343 5580 145546 1395 394 3143 8337 1790 568 5653 3363 826 7385 2687 329 691 3603 8491 3407 6327 1566 1152 1463 1789 15765 601 722 32596 3297 484 282 7116 1385 923 4790 221 2067 1495 878
2020-07-25 45710 135500 342 9120 30090 35100 1661 1715 2163 5703 85940 8929 9015 8153 31670 4756 15480 42910 18340 1909 13150 6568 5598 146200 1413 397 3218 8408 1794 568 5800 3363 826 7399 2695 329 695 3638 8504 3415 6337 1569 1156 1478 1810 15780 604 728 32630 3297 490 284 7130 1416 944 4991 224 2073 1496 884
2020-07-26 45740 135600 348 9123 30100 35110 1665 1718 2180 5710 87050 8934 9130 8402 32150 4850 15690 43440 19040 1929 13260 6983 5614 147100 1433 403 3291 8547 1799 568 5942 3390 828 7414 2703 329 699 3680 8517 3423 6342 1573 1160 1500 1832 15800 608 741 32640 3307 497 289 7143 1464 961 5199 226 2079 1498 889
2020-07-27 45780 135700 355 9127 30100 35110 1669 1721 2199 5721 87990 8939 9229 8635 32610 4944 15900 43930 19760 1947 13340 7373 5629 148200 1468 410 3364 8709 1805 568 6095 3424 829 7427 2710 333 702 3723 8527 3429 6347 1577 1166 1521 1855 15820 612 757 32660 3325 505 293 7156 1516 980 5387 230 2085 1499 895
2020-07-28 45810 135800 363 9130 30110 35110 1673 1725 2216 5732 89190 8941 9325 8890 32920 5050 16140 44400 20380 1966 13420 7767 5644 149200 1511 418 3438 8878 1811 568 6251 3478 832 7439 2717 337 706 3762 8538 3436 6352 1580 1172 1545 1877 15830 615 771 32680 3338 513 298 7169 1568 1005 5642 235 2091 1503 899
2020-07-29 45840 135800 370 9133 30120 35110 1676 1730 2231 5743 90120 8945 9412 9118 33240 5167 16350 44740 20950 1983 13500 8177 5659 150300 1539 428 3513 9014 1817 568 6414 3498 835 7451 2723 340 709 3805 8546 3441 6361 1583 1177 1567 1903 15850 618 784 32690 3350 521 304 7180 1619 1025 5844 238 2096 1505 903
2020-07-30 45860 135900 378 9136 30120 35120 1680 1734 2245 5753 91090 8948 9491 9337 33640 5278 16650 45130 21630 2002 13540 8547 5667 151200 1587 436 3601 9194 1822 568 6571 3527 839 7462 2729 343 711 3836 8553 3447 6366 1587 1181 1590 1932 15860 620 798 32710 3363 527 308 7192 1673 1054 6048 243 2100 1508 907
2020-07-31 45880 136000 387 9139 30130 35120 1682 1736 2258 5763 92040 8951 9575 9549 33940 5392 16950 45410 22260 2019 13600 8982 5676 152000 1622 446 3688 9428 1828 568 6764 3552 842 7472 2734 345 713 3871 8561 3452 6370 1590 1184 1613 1956 15870 623 813 32720 3372 541 313 7202 1726 1078 6238 247 2106 1509 909
2020-08-01 45910 136000 396 9142 30130 35120 1684 1738 2270 5772 93020 8956 9648 9773 34180 5520 17230 45690 22960 2036 13660 9461 5687 152900 1670 454 3791 9721 1835 568 6926 3594 844 7481 2740 347 715 3904 8570 3457 6376 1592 1188 1641 1984 15870 625 830 32730 3379 544 317 7212 1781 1106 6421 251 2112 1509 912
2020-08-02 45930 136100 404 9145 30130 35120 1686 1742 2280 5782 93940 8959 9727 9964 34430 5633 17520 45980 23510 2052 13710 9846 5697 153400 1708 464 3869 9940 1840 568 7087 3645 845 7490 2745 348 717 3920 8576 3462 6380 1595 1190 1663 2006 15880 627 847 32740 3387 549 321 7221 1843 1131 6549 254 2116 1509 914

Further information

  • We believe these forecasts fill a useful gap in the short run. They give an indication of what is likely to happen in the next few days, removing some aspect of surprise. Moreover, a noticeable drop in comparison to the extrapolations could be an indication that the implemented policies are having some impact. It is difficult to understand exponential growth. We hope that these forecasts may help to convince viewers to adhere to the policies implemented by their respective governments, and keep all arguments factual and measured.
  • We use the data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering. This is updated daily, but we tend to update our forecasts only every other day.
    US state data as of 2020-03-28 is courtesy of the New York Times.
  • We can only provide forecasts of what is measured. If confirmed cases are an underestimate of actual cases, then our forecasts will also be underestimates. No other epidemiological data is used. Data definition and collection differs between countries and may change over time.
  • We will update the methodology as we learn what is happening in the next few days or weeks. Once the number of cases levels off, there is no need to provide these forecasts anymore.
  • Countries where the counts are very low or stable have been omitted.
  • The graphs have dates on the horizontal axis (yyyy-mm-dd) and cumulative counts on the vertical axis. They show
    1. bold dark grey line (with circles): observed counts (Johns Hopkins CSSE);
    2. many light grey lines (with open circles): forecasts using different model settings and starting up to four periods back;
    3. red line (with open circles): single forecasts path using default model settings;
    4. black line (with crosses): average of all forecasts, recentered on the last observation;
    5. thin green lines: some indication of uncertainty around the red forecasts, but we do not know how reliable that is.
    Both the red line forecasts and the black lines are also given in the tables above. These forecasts differ, we are currently inclined to use the average forecasts.
  • The forecasts are constructed as follows:
    1. An overall `trend' is extracted by taking a window of the data at a time. In each window we draw `straight lines' which are selected using an automatic econometric procedure (`machine learning'). All straight lines are collected and averaged, giving the trend.
    2. Forecasts are made using the estimated trend, but we note that this must be done carefully, because simply extrapolating the flexible insample trend would lead to wildly fluctuating forecast. We use the `Cardt' method, which has been found to work well in other settings.
    3. Residuals from the trend are also forecast, and combined with trend forecasts into an overall forecast.
  • Scenario forecasts are constructed very differently: smooth versions of the Chinese experience are matched at different lag lengths with the path of each country. This probably works best from the peak, or the slowdown just before (but we include it for the UK nonetheless).
  • The forecast evaluation shows past forecasts, together with the outcomes (in the grey line with circles).
  • EU-BS is Estonia, Latvia, and Lithuania together.
  • This paper describes the methodology and gives further references. Also available as Nuffield Economics Discussion Paper 2020-W06. Still preliminary is the documentation of the medium term forecasts.

Recent changes and notes

[2020-07-01] Modified the short-term model to allow for (slowly changing) seasonality. Many countries show clear seasonality after the initial period, likely caused by institutional factors regarding data collection. This seasonality was also getting in the way of peak detection. As a consequence estimates of the peak date may have changed for countries with strong seasonality.
Added forecasts of cumulative confirmed cases for lower tier local authorities of England. The data is available from 2020-07-02 including all tests (pillar one and two). Only authorities with more than 5 cases in the previous week are included.
[2020-06-29] Tables in April included the world, but not the world as we know it (double counting China and the US). So removed the world from those old tables.
Why short-term forecasts can be better than models for predicting how pandemics evolve just appeared at The Conversation.
Thursday 2 July webinar at the FGV EESP - São Paolo School of Economics. This starts at 16:00 UK time (UTC+01:00) and streamed here.
[2020-06-24] Research presentation on short-term COVID-19 forecasting on 26 June (14:00 UK time) at the Quarterly Forecasting Forum of the IIF UK Chapter.
[2020-06-06] Removed Brazil from yesterday's forecasts (only; last observation 2020-06-05).
[2020-06-04] Data issues with confirmed cases for France.
Added an appendix to the short term paper with further forecast comparisons for European and Latin American countries.
Both Sweden and Iran have lost their peak in confirmed cases. For Sweden the previous peak was on 24 April (daily peak of 656 cases), for Iran it was on 31 March (peak of 3116). For Iran this looks like a second wave, with increasing daily counts for the last four weeks. For Sweden this is a sudden jump in confirmed cases in the last two days, compared to a fairly steady weekly pattern over the previous six weeks.
[2020-05-20] Problem with UK confirmed cases: negative daily count. This makes the forecasts temporarily unreliable.
Updated the second paper.
[2020-05-18] Minor fixes to the improved version of scenario forecasting, backported to 2020-05-13.
[2020-05-13] 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.
[2020-05-06] 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.
[2020-04-29] 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.
[2020-04-27] 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.
[2020-04-24] A summary of our work on short-term COVID-19 forecasting appeared as a voxeu.
[2020-04-17] Bird and Nielsen look into nowcasting death counts in England.
[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).
[2020-04-10] Updated documentation with better description of short-term estimates and peak determination.
[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.
[2020-04-08] Minor correction to peak estimates. Added table with scenario forecasts.
[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.
[2020-04-02] Now including more US States, based on New York Times data.
[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).
[2020-03-26] Scenario forecasts that are based on what happened in China earlier this year, only for Italy.
[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.

Initial visual evaluation of forecasts of Deaths