COVID-19 short-term forecasts Deaths 2020-07-22


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 2020-07-22

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 45501 135204 711 9808 321 260 364 9102 611 28426 328 30063 200 596 1754 35082 6139 1642 1702 2101 5667 255 1972
Last daily increment 79 106 1 3 8 0 4 3 0 2 0 7 3 0 1 9 3 6 5 27 21 0 0
Last week 382 458 0 13 28 1 9 15 1 10 0 28 7 1 5 65 2 37 23 130 74 1 3
Days since peak 104 109 107 98 102 105 98 109 113 92 105 110 94 89 115 109 88 98 80 92 106 107

Peak increase in estimated trend of Deaths 2020-07-22

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 date07-1705-0607-17 --06-16 -- --06-2206-1407-1205-29 --04-1504-14 -- -- -- --04-2404-2004-2906-23 -- --05-2105-1205-0104-1404-1404-1404-2504-2904-1405-2904-30 --06-2205-2005-2906-2505-11 --04-0904-29 -- --05-05 -- -- --04-1704-2204-0604-11
Peak daily increment 1067 168 844 1662 695 279 104 171 120 2161 71 106 11 46 14 112 42 6 10 64 453 56 137 23 17 24 41 28 1543 9 999 76 137 6 105 25 12
Days from 100 to peak 111 36 93 72 77 68 102 48 18 29 21 18 10 60 27 41 27 -7 0 17 23 22 17 42 21 70 0 16 85 14 20 25 32 -45 7 15 2
Days from peak/2 to peak 102 37 61 52 70 65 107 49 20 20 27 20 30 74 50 44 35 19 19 21 20 27 18 57 35 82 30 31 81 39 15 30 33 18 10 30 18
Last total 82771 8913 8677 7373 29861 4459 14853 41190 13767 1843 12726 5940 5545 143190 1325 380 2974 8047 1771 4406 580 518 5345 3256 814 7347 2666 320 677 3558 8461 3393 6315 1552 1117 1423 1732 309 402 15707 591 704 32558 3235 474 271 7077 1285 876 4439 209 2051 1467 865
Last daily increment 1284 5 0 207 1129 139 219 790 188 6 165 572 19 1195 57 6 56 159 8 0 0 2 139 77 8 23 14 5 3 60 18 7 6 4 10 34 27 1 2 -30 3 28 38 16 13 2 26 64 16 240 7 3 3 6
Last week 6083 38 1387 1344 4259 586 1245 3616 1152 200 806 1271 105 4832 125 39 483 558 26 17 6 6 668 213 33 96 64 16 27 183 89 59 40 26 33 115 125 12 7 42 29 78 112 132 36 22 93 215 90 782 16 44 40 34
Days since peak 5 77 5 36 30 38 10 54 98 99 89 93 84 29 62 71 82 99 99 99 88 84 99 54 83 30 63 54 27 72 104 84 78 96 91 107 102

Deaths count forecast Europe (bold red line in graphs) 2020-07-23 to 2020-07-29

DateUKEUBGFRITPLPTROSE
2020-07-22 45501 135204 321 30063 35082 1642 1702 2101 5667
2020-07-23 45610 135400 326 30070 35090 1649 1707 2121 5691
2020-07-24 45690 135500 332 30080 35110 1655 1712 2140 5712
2020-07-25 45740 135500 338 30080 35120 1662 1717 2160 5712
2020-07-26 45760 135500 344 30090 35130 1668 1721 2179 5712
2020-07-27 45770 135600 351 30100 35140 1675 1726 2199 5726
2020-07-28 45870 135700 357 30100 35150 1681 1731 2218 5730
2020-07-29 45950 135800 364 30110 35160 1688 1736 2238 5752

Deaths count forecast (bold red line in graphs) 2020-07-23 to 2020-07-29

DateBrazilCanadaChileColombiaIndiaIndonesiaIranMexicoPeruPhilippinesRussiaSouth AfricaTurkeyUSUS-ALUS-ARUS-AZUS-CAUS-COUS-FLUS-GAUS-IAUS-ILUS-INUS-KYUS-LAUS-MAUS-MDUS-MIUS-MNUS-MOUS-MSUS-NCUS-NJUS-NMUS-NVUS-NYUS-OHUS-OKUS-ORUS-PAUS-SCUS-TNUS-TXUS-VAUS-WAUS-WI
2020-07-22 82771 8913 8677 7373 29861 4459 14853 41190 13767 1843 12726 5940 5545 143190 1325 380 2974 8047 1771 5345 3256 814 7347 2666 677 3558 8461 3393 6315 1552 1117 1423 1732 15707 591 704 32558 3235 474 271 7077 1285 876 4439 2051 1467 865
2020-07-23 83890 8922 8737 7611 30800 4541 15170 41800 13940 1905 12930 6096 5563 143600 1362 388 3065 8268 1771 5564 3319 820 7374 2671 686 3614 8480 3403 6324 1560 1122 1445 1732 15710 595 720 32580 3238 484 278 7108 1326 889 4753 2086 1474 865
2020-07-24 85030 8931 8963 7887 31660 4666 15440 42470 14110 1933 13100 6282 5581 144400 1399 395 3158 8442 1780 5760 3387 827 7391 2680 693 3668 8500 3412 6333 1566 1127 1466 1748 15710 599 736 32600 3253 496 283 7129 1365 901 5043 2095 1481 865
2020-07-25 85980 8940 9057 8111 32510 4774 15700 43000 14280 1994 13240 6492 5598 145100 1435 404 3254 8581 1781 5902 3451 832 7406 2693 698 3700 8521 3421 6342 1569 1133 1488 1769 15710 604 752 32620 3267 506 287 7137 1416 913 5281 2102 1489 873
2020-07-26 86620 8949 9057 8379 33340 4924 16000 43220 14450 2012 13340 6715 5615 145500 1472 412 3354 8690 1782 6016 3491 838 7411 2695 700 3746 8543 3430 6350 1572 1138 1511 1774 15710 608 769 32640 3296 511 291 7143 1439 925 5524 2105 1496 873
2020-07-27 87260 8958 9122 8562 34170 5061 16290 43550 14620 2044 13430 6951 5632 145800 1510 421 3456 8813 1786 6163 3535 845 7416 2697 703 3781 8565 3439 6359 1575 1143 1534 1791 15830 611 785 32660 3308 517 294 7147 1459 938 5757 2109 1503 874
2020-07-28 88550 8967 9156 8782 35000 5189 16580 44440 14790 2052 13580 7199 5650 146700 1549 430 3563 9037 1794 6363 3608 854 7437 2716 707 3830 8587 3448 6367 1578 1148 1558 1821 15880 615 802 32680 3335 526 302 7170 1522 950 6020 2122 1510 885
2020-07-29 89760 8977 9201 9057 35840 5345 16850 45170 14960 2057 13740 7456 5667 147800 1589 439 3673 9296 1802 6539 3655 860 7457 2728 711 3865 8610 3457 6375 1583 1153 1582 1842 15880 619 819 32700 3348 534 306 7192 1585 963 6300 2132 1517 889

Deaths count average forecast Europe (bold black line in graphs) 2020-07-23 to 2020-07-29

DateUKEUBGFRITPLPTROSE
2020-07-22 45501 135204 321 30063 35082 1642 1702 2101 5667
2020-07-23 45550 135300 324 30070 35090 1648 1706 2110 5680
2020-07-24 45620 135400 330 30080 35100 1654 1710 2128 5699
2020-07-25 45680 135400 334 30090 35110 1660 1715 2148 5699
2020-07-26 45710 135500 339 30110 35120 1665 1720 2168 5700
2020-07-27 45760 135600 346 30120 35130 1671 1724 2188 5710
2020-07-28 45850 135600 353 30130 35150 1679 1729 2208 5716
2020-07-29 45930 135700 361 30140 35160 1686 1733 2229 5736

Deaths count average forecast (bold black line in graphs) 2020-07-23 to 2020-07-29

DateBrazilCanadaChileColombiaIndiaIndonesiaIranMexicoPeruPhilippinesRussiaSouth AfricaTurkeyUSUS-ALUS-ARUS-AZUS-CAUS-COUS-FLUS-GAUS-IAUS-ILUS-INUS-KYUS-LAUS-MAUS-MDUS-MIUS-MNUS-MOUS-MSUS-NCUS-NJUS-NMUS-NVUS-NYUS-OHUS-OKUS-ORUS-PAUS-SCUS-TNUS-TXUS-VAUS-WAUS-WI
2020-07-22 82771 8913 8677 7373 29861 4459 14853 41190 13767 1843 12726 5940 5545 143190 1325 380 2974 8047 1771 5345 3256 814 7347 2666 677 3558 8461 3393 6315 1552 1117 1423 1732 15707 591 704 32558 3235 474 271 7077 1285 876 4439 2051 1467 865
2020-07-23 83750 8920 8743 7621 30120 4529 15110 41720 13940 1865 12860 6018 5562 143500 1344 385 3048 8213 1772 5522 3268 817 7363 2669 681 3568 8474 3399 6323 1559 1119 1445 1741 15720 593 710 32570 3240 476 275 7097 1307 886 4570 2062 1470 865
2020-07-24 84850 8928 8926 7933 30770 4640 15370 42400 14130 1904 13010 6120 5579 144200 1374 393 3143 8377 1777 5693 3283 820 7379 2676 688 3578 8490 3408 6332 1564 1124 1474 1752 15760 596 719 32590 3256 479 280 7114 1338 901 4729 2071 1475 866
2020-07-25 85800 8935 9050 8229 31430 4738 15640 42930 14330 1947 13140 6286 5597 144800 1404 400 3241 8518 1780 5831 3299 824 7395 2690 693 3587 8507 3417 6341 1568 1129 1499 1769 15780 600 733 32600 3273 482 285 7124 1383 917 4884 2079 1480 871
2020-07-26 86530 8941 9117 8532 32100 4880 15920 43110 14530 1986 13260 6528 5614 145200 1432 408 3342 8623 1782 5961 3311 828 7403 2692 697 3603 8525 3425 6350 1571 1133 1521 1776 15810 604 742 32620 3305 484 289 7132 1410 930 5018 2086 1484 872
2020-07-27 87290 8949 9223 8795 32790 5003 16210 43460 14730 2027 13390 6783 5632 145400 1462 416 3447 8751 1785 6088 3325 832 7413 2694 700 3623 8543 3434 6359 1573 1138 1533 1791 15840 609 752 32640 3318 486 294 7142 1428 942 5148 2092 1488 873
2020-07-28 88520 8957 9324 9073 33480 5115 16500 44360 14940 2066 13550 7052 5650 146000 1494 424 3555 8972 1791 6271 3351 838 7434 2710 705 3644 8562 3443 6367 1577 1144 1574 1816 15870 613 774 32660 3342 491 300 7164 1474 956 5293 2106 1493 882
2020-07-29 89680 8966 9436 9380 34190 5243 16780 45050 15150 2106 13700 7333 5667 146700 1530 432 3667 9213 1797 6442 3371 844 7450 2720 712 3664 8580 3452 6376 1582 1149 1608 1835 15890 617 790 32670 3354 495 305 7185 1512 973 5479 2118 1498 884

Deaths count scenario forecast (bold purple line in graphs) 2020-07-23 to 2020-07-31

DateUKEUBGFRITPLPTROSEBrazilCanadaChileColombiaIndiaIndonesiaIranMexicoPeruPhilippinesRussiaSouth AfricaTurkeyUSUS-ALUS-ARUS-AZUS-CAUS-COUS-FLUS-GAUS-IAUS-ILUS-INUS-KYUS-LAUS-MAUS-MDUS-MIUS-MNUS-MOUS-MSUS-NCUS-NJUS-NMUS-NVUS-NYUS-OHUS-OKUS-ORUS-PAUS-SCUS-TNUS-TXUS-VAUS-WAUS-WI
2020-07-22 45501 135204 321 30063 35082 1642 1702 2101 5667 82771 8913 8677 7373 29861 4459 14853 41190 13767 1843 12726 5940 5545 143190 1325 380 2974 8047 1771 5345 3256 814 7347 2666 677 3558 8461 3393 6315 1552 1117 1423 1732 15707 591 704 32558 3235 474 271 7077 1285 876 4439 2051 1467 865
2020-07-23 45550 135300 323 30100 35100 1649 1707 2110 5676 83410 8925 8988 7581 30090 4523 15050 41550 13890 1893 12830 6035 5564 143700 1346 384 3067 8135 1772 5451 3266 814 7360 2673 684 3580 8475 3404 6326 1556 1120 1435 1736 15710 595 713 32570 3251 474 276 7088 1300 887 4532 2065 1471 867
2020-07-24 45580 135400 326 30120 35110 1653 1712 2131 5683 84340 8931 9255 7805 30670 4626 15240 41990 14050 1895 12930 6176 5581 144500 1369 389 3162 8227 1777 5560 3307 817 7372 2682 688 3613 8488 3413 6333 1560 1124 1454 1757 15710 599 730 32580 3265 479 280 7098 1337 902 4636 2073 1476 870
2020-07-25 45630 135400 330 30140 35110 1657 1716 2149 5690 85300 8937 9467 8002 31120 4714 15460 42450 14180 1913 13010 6365 5596 145200 1390 394 3250 8318 1780 5677 3360 820 7383 2691 692 3647 8499 3421 6340 1563 1128 1472 1778 15710 602 746 32600 3278 484 285 7108 1375 918 4800 2079 1481 873
2020-07-26 45660 135500 335 30140 35120 1660 1721 2163 5696 86200 8941 9467 8212 31450 4810 15700 42870 14300 1932 13070 6507 5612 146000 1418 399 3340 8420 1782 5797 3418 823 7394 2700 696 3682 8507 3429 6348 1566 1132 1493 1795 15710 605 764 32610 3290 487 291 7118 1413 935 4971 2085 1485 876
2020-07-27 45700 135600 341 30140 35130 1663 1723 2178 5702 87190 8948 9467 8418 31740 4910 15930 43190 14430 1950 13130 6665 5626 146700 1436 404 3432 8519 1787 5930 3469 825 7404 2707 699 3709 8515 3436 6354 1570 1135 1511 1817 15710 608 785 32620 3304 493 297 7127 1444 952 5103 2090 1487 879
2020-07-28 45720 135700 345 30150 35130 1666 1727 2194 5708 88150 8954 9467 8591 32120 5018 16170 43560 14540 1966 13190 6765 5639 147500 1458 413 3529 8616 1791 6047 3545 828 7413 2714 703 3734 8520 3442 6361 1572 1138 1530 1835 15710 611 805 32630 3316 496 303 7137 1477 969 5251 2093 1490 881
2020-07-29 45740 135700 349 30150 35140 1669 1730 2209 5712 89240 8960 9467 8776 32400 5128 16380 43860 14640 1984 13240 6917 5652 148200 1479 420 3628 8712 1794 6207 3610 830 7422 2721 706 3754 8524 3448 6368 1574 1142 1547 1851 15710 614 825 32640 3326 504 310 7146 1505 987 5384 2096 1493 884
2020-07-30 45770 135800 354 30160 35150 1671 1732 2224 5719 90140 8964 9467 8962 32620 5229 16620 44210 14730 1999 13290 7151 5663 148800 1525 428 3718 8799 1798 6386 3690 833 7430 2726 709 3774 8529 3455 6373 1576 1144 1564 1870 15710 616 847 32650 3339 510 315 7155 1559 1004 5522 2101 1496 887
2020-07-31 45800 135900 358 30170 35150 1673 1738 2240 5724 90990 8969 9467 9129 32920 5331 16840 44510 14810 2015 13350 7360 5674 149500 1558 432 3805 8889 1801 6502 3773 836 7439 2730 713 3791 8532 3461 6379 1578 1147 1581 1889 15710 619 863 32660 3352 515 321 7165 1593 1016 5652 2105 1497 891

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