COVID-19 short-term forecasts Deaths 2020-09-26


General 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 2020-09-26

UKEUATBEBGBSCZDEDKESFIFRGRHRHUIEITNLPLPTROSENOCH
Peak date04-1004-0604-0604-1508-2604-1109-2104-1504-0403-3104-2104-08 -- --04-1904-2403-2904-04 --04-1508-2604-1204-0704-06
Peak daily increment 964 3095 20 328 9 7 15 226 15 946 30 943 13 167 781 153 31 44 98 8 60
Days from 100 to peak 23 33 7 22 104 0 166 22 3 18 1 23 6 21 25 15 17 146 18 -2 14
Days from peak/2 to peak 17 23 16 21 152 22 178 22 15 14 20 18 26 22 20 16 23 152 21 20 19
Last total 41971 146158 787 9974 789 277 591 9459 648 31232 343 31483 376 269 730 1802 35818 6366 2424 1944 4687 5880 270 2064
Last daily increment 35 207 1 5 0 0 10 8 1 0 0 0 7 3 12 5 17 38 32 8 54 0 0 0
Last week 194 2147 21 26 28 2 88 69 10 737 4 398 38 21 47 10 111 87 131 32 252 15 3 19
Days since peak 169 173 173 164 31 168 5 164 175 179 158 171 160 155 181 175 164 31 167 172 173

Peak increase in estimated trend of Deaths 2020-09-26

AustraliaBrazilCanadaChileColombiaIndiaIndonesiaIranMexicoPeruPhilippinesRussiaSouth AfricaTurkeyUSUS-ALUS-ARUS-AZUS-CAUS-COUS-CTUS-DCUS-DEUS-FLUS-GAUS-IAUS-IDUS-ILUS-INUS-KSUS-KYUS-LAUS-MAUS-MDUS-MIUS-MNUS-MOUS-MSUS-NCUS-NDUS-NEUS-NHUS-NJUS-NMUS-NVUS-NYUS-OHUS-OKUS-ORUS-PAUS-SCUS-SDUS-TNUS-TXUS-UTUS-VAUS-WAUS-WIUS-WV
Peak date09-0307-2105-0607-1708-2606-16 --07-2706-2407-2309-1405-2907-2204-1504-1309-1609-1507-2108-0604-2404-2004-2906-2308-0708-2605-2109-0905-1205-0209-2004-1404-1404-2504-2904-1405-28 --08-26 -- --05-2005-2906-2505-1308-1305-1808-2908-2607-2805-0507-28 -- --07-2704-1704-2204-0604-1104-23
Peak daily increment 35 1065 168 785 338 1661 214 683 2947 151 171 323 125 2226 89 133 78 138 72 105 11 46 175 67 14 17 112 99 10 10 64 459 56 137 23 33 40 25 1566 9 18 3573 85 10 5 137 45 386 6 104 25 12 16
Days from 100 to peak 108 115 36 93 136 72 144 79 107 166 48 84 18 28 156 122 100 131 21 18 10 60 127 148 27 60 41 28 152 0 17 23 22 17 41 135 0 17 85 16 123 59 147 135 89 32 103 115 -45 7 15 2 -89
Days from peak/2 to peak 157 106 37 63 129 52 144 72 78 168 49 76 20 19 163 137 108 133 27 20 30 74 127 151 50 159 44 32 175 19 21 20 27 18 56 148 30 31 81 41 139 49 151 153 131 33 119 111 18 11 30 18 4
Last total 872 141406 9313 12591 25296 93379 10308 25394 76243 32037 5284 20140 16376 7929 204490 2501 1285 5621 15583 2040 4501 624 633 14022 6752 1314 460 8588 3351 635 1154 5262 9385 3914 6964 2004 1929 2911 3440 227 469 439 16103 870 1582 33108 4740 1004 542 8083 3323 218 2342 15707 368 3142 2096 1281 337
Last daily increment 2 869 7 64 193 1089 90 172 399 0 88 167 64 71 740 10 19 35 67 6 0 1 2 107 42 2 2 25 11 0 5 0 18 7 17 10 61 17 31 8 1 1 6 5 9 2 6 11 0 18 26 2 20 97 0 8 0 7 2
Last week 21 4511 46 305 1088 5497 755 1093 2750 668 300 791 423 423 4981 64 104 146 567 26 9 4 12 726 304 49 17 138 70 40 43 64 81 44 75 39 206 101 197 35 27 1 36 21 51 37 125 58 16 123 124 16 153 619 4 129 64 39 23
Days since peak 23 67 143 71 31 102 61 94 65 12 120 66 164 166 10 11 67 51 155 159 150 95 50 31 128 17 137 147 6 165 165 154 150 165 121 31 129 120 93 136 44 131 28 31 60 144 60 61 162 157 173 168 156

Deaths count forecast Europe (bold red line in graphs) 2020-09-27 to 2020-10-03

DateUKEUATBEBGCZDEESFRGRHRHUITNLPLPTRO
2020-09-26 41971 146158 787 9974 789 591 9459 31232 31483 376 269 730 35818 6366 2424 1944 4687
2020-09-27 41990 146300 789 9977 798 605 9461 31320 31530 383 276 738 35840 6389 2457 1949 4715
2020-09-28 42010 146400 792 9981 801 619 9465 31400 31570 391 282 747 35850 6410 2481 1954 4737
2020-09-29 42040 146500 794 9984 805 633 9475 31480 31620 397 287 755 35870 6436 2514 1959 4781
2020-09-30 42070 146600 796 9987 813 647 9484 31560 31650 404 291 763 35880 6458 2546 1963 4826
2020-10-01 42090 146700 798 9990 819 661 9490 31630 31690 411 296 770 35900 6479 2575 1968 4862
2020-10-02 42120 146900 800 9993 822 675 9499 31710 31730 418 302 778 35920 6501 2605 1972 4902
2020-10-03 42150 147000 802 9996 823 689 9508 31780 31770 425 306 786 35930 6520 2625 1977 4947

Deaths count forecast (bold red line in graphs) 2020-09-27 to 2020-10-03

DateAustraliaBrazilCanadaChileColombiaIndiaIndonesiaIranMexicoPeruPhilippinesRussiaSouth AfricaTurkeyUSUS-ALUS-ARUS-AZUS-CAUS-COUS-FLUS-GAUS-IAUS-ILUS-INUS-KSUS-KYUS-LAUS-MAUS-MDUS-MIUS-MNUS-MOUS-MSUS-NCUS-NDUS-NEUS-NJUS-NMUS-NVUS-NYUS-OHUS-OKUS-PAUS-SCUS-TNUS-TXUS-VAUS-WAUS-WIUS-WV
2020-09-26 872 141406 9313 12591 25296 93379 10308 25394 76243 32037 5284 20140 16376 7929 204490 2501 1285 5621 15583 2040 14022 6752 1314 8588 3351 635 1154 5262 9385 3914 6964 2004 1929 2911 3440 227 469 16103 870 1582 33108 4740 1004 8083 3323 2342 15707 3142 2096 1281 337
2020-09-27 877 141900 9319 12640 25480 94400 10420 25560 76550 32160 5327 20190 16440 7995 205000 2515 1305 5626 15660 2041 14050 6772 1318 8601 3353 643 1162 5306 9399 3920 6964 2014 1975 2923 3442 232 469 16110 873 1596 33120 4760 1005 8083 3348 2371 15800 3149 2096 1283 342
2020-09-28 882 142300 9324 12670 25650 95300 10530 25730 76720 32290 5371 20260 16510 8060 205400 2518 1323 5626 15690 2046 14080 6776 1330 8607 3358 650 1163 5314 9412 3926 6964 2018 2020 2926 3448 238 472 16110 876 1597 33120 4769 1006 8107 3359 2399 15840 3158 2100 1285 346
2020-09-29 886 143100 9330 12700 25830 96300 10640 25890 77340 32420 5415 20400 16570 8125 206300 2536 1341 5641 15810 2052 14180 6832 1339 8631 3369 658 1169 5326 9426 3932 6964 2025 2067 2952 3487 243 478 16120 879 1610 33130 4798 1017 8121 3382 2444 15940 3168 2115 1291 350
2020-09-30 891 143400 9335 12720 26000 97200 10750 26060 77830 32540 5458 20540 16640 8189 207300 2562 1357 5665 15920 2058 14360 6900 1347 8654 3380 665 1176 5333 9440 3938 6964 2030 2114 2975 3519 249 482 16140 882 1621 33140 4841 1025 8149 3404 2485 16070 3179 2127 1300 355
2020-10-01 896 144700 9341 12830 26170 98200 10860 26220 78250 32670 5501 20670 16700 8253 208100 2578 1374 5700 16010 2062 14530 6948 1350 8680 3394 673 1189 5349 9454 3944 6964 2036 2162 2986 3554 254 483 16150 885 1629 33150 4874 1035 8161 3423 2537 16170 3189 2129 1305 359
2020-10-02 900 145400 9346 12890 26340 99100 10970 26380 78670 32800 5545 20780 16770 8317 209000 2581 1391 5733 16120 2065 14660 6996 1360 8703 3411 680 1198 5369 9469 3949 6964 2043 2210 3002 3598 260 488 16150 888 1638 33160 4903 1047 8177 3444 2597 16290 3199 2144 1313 363
2020-10-03 905 146200 9351 12950 26510 100000 11080 26540 79030 32920 5589 20920 16830 8381 209700 2591 1408 5761 16190 2071 14730 7039 1361 8725 3422 687 1205 5369 9483 3955 6966 2053 2261 3017 3625 265 488 16160 891 1647 33170 4904 1055 8191 3464 2630 16390 3210 2144 1319 368

Deaths count average forecast Europe (bold black line in graphs) 2020-09-27 to 2020-10-03

DateUKEUATBEBGCZDEESFRGRHRHUITNLPLPTRO
2020-09-26 41971 146158 787 9974 789 591 9459 31232 31483 376 269 730 35818 6366 2424 1944 4687
2020-09-27 41990 146300 788 9975 793 600 9462 31290 31510 380 273 733 35830 6370 2431 1948 4704
2020-09-28 42010 146600 790 9977 797 610 9466 31380 31540 387 277 740 35850 6374 2439 1953 4737
2020-09-29 42030 146800 792 9979 801 621 9474 31460 31560 395 280 747 35860 6380 2452 1958 4773
2020-09-30 42060 147100 794 9981 808 632 9484 31540 31590 401 284 754 35880 6386 2469 1963 4809
2020-10-01 42080 147400 797 9983 814 643 9490 31630 31620 409 287 761 35900 6394 2486 1967 4844
2020-10-02 42100 147700 799 9986 819 655 9499 31710 31650 413 293 768 35910 6402 2503 1972 4880
2020-10-03 42130 147900 801 9990 822 665 9506 31790 31670 419 296 776 35930 6409 2517 1977 4917

Deaths count average forecast (bold black line in graphs) 2020-09-27 to 2020-10-03

DateAustraliaBrazilCanadaChileColombiaIndiaIndonesiaIranMexicoPeruPhilippinesRussiaSouth AfricaTurkeyUSUS-ALUS-ARUS-AZUS-CAUS-COUS-FLUS-GAUS-IAUS-ILUS-INUS-KSUS-KYUS-LAUS-MAUS-MDUS-MIUS-MNUS-MOUS-MSUS-NCUS-NDUS-NEUS-NJUS-NMUS-NVUS-NYUS-OHUS-OKUS-PAUS-SCUS-TNUS-TXUS-VAUS-WAUS-WIUS-WV
2020-09-26 872 141406 9313 12591 25296 93379 10308 25394 76243 32037 5284 20140 16376 7929 204490 2501 1285 5621 15583 2040 14022 6752 1314 8588 3351 635 1154 5262 9385 3914 6964 2004 1929 2911 3440 227 469 16103 870 1582 33108 4740 1004 8083 3323 2342 15707 3142 2096 1281 337
2020-09-27 874 141800 9317 12620 25380 94140 10410 25490 76380 32110 5323 20190 16430 7983 204600 2505 1293 5625 15590 2041 14040 6767 1317 8597 3352 640 1157 5283 9398 3917 6969 2007 1940 2916 3443 228 470 16110 871 1585 33110 4738 1005 8091 3335 2365 15750 3160 2097 1281 340
2020-09-28 876 142200 9324 12660 25500 95100 10530 25610 76520 32210 5377 20280 16480 8044 204800 2514 1306 5631 15620 2044 14070 6784 1327 8607 3355 647 1160 5296 9412 3923 6974 2010 1960 2919 3448 230 472 16110 873 1588 33120 4744 1007 8112 3348 2396 15800 3184 2099 1282 345
2020-09-29 879 142900 9331 12700 25590 95980 10660 25730 77140 32320 5435 20410 16540 8108 205500 2530 1321 5641 15740 2049 14140 6832 1335 8629 3365 655 1165 5310 9426 3928 6981 2017 1992 2945 3475 233 477 16110 876 1600 33120 4767 1014 8127 3369 2429 15900 3208 2108 1286 349
2020-09-30 882 143300 9336 12740 25760 96910 10780 25850 77630 32450 5493 20530 16600 8172 206200 2551 1336 5660 15850 2053 14310 6888 1342 8652 3376 663 1172 5322 9441 3934 6989 2023 2030 2968 3506 238 481 16120 879 1610 33130 4804 1022 8151 3390 2462 16030 3232 2116 1294 354
2020-10-01 884 144400 9341 12820 25880 97970 10900 25970 77970 32580 5552 20650 16660 8237 206800 2565 1351 5685 15940 2056 14480 6929 1347 8676 3389 673 1182 5340 9455 3939 6996 2030 2056 2982 3537 243 483 16130 882 1619 33130 4836 1030 8165 3410 2498 16130 3256 2119 1299 359
2020-10-02 887 145100 9347 12880 26000 98980 11010 26090 78410 32710 5609 20760 16720 8303 207400 2579 1366 5709 16060 2059 14610 6973 1357 8698 3404 682 1190 5362 9469 3945 7004 2039 2091 2998 3572 248 486 16130 885 1632 33140 4871 1040 8178 3434 2534 16260 3280 2126 1305 363
2020-10-03 890 145800 9354 12940 26190 99960 11130 26200 78790 32810 5684 20890 16780 8369 207900 2595 1381 5729 16150 2064 14690 7015 1361 8720 3414 689 1197 5372 9484 3951 7011 2050 2126 3014 3600 255 487 16130 888 1641 33150 4879 1046 8192 3452 2568 16380 3305 2128 1311 369

Deaths count scenario forecast (bold purple line in graphs) 2020-09-27 to 2020-10-05

DateUKEUATBEBGCZDEESFRGRHRHUITNLPLPTROAustraliaBrazilCanadaChileColombiaIndiaIndonesiaIranMexicoPeruPhilippinesRussiaSouth AfricaTurkeyUSUS-ALUS-ARUS-AZUS-CAUS-COUS-FLUS-GAUS-IAUS-ILUS-INUS-KSUS-KYUS-LAUS-MAUS-MDUS-MIUS-MNUS-MOUS-MSUS-NCUS-NDUS-NEUS-NJUS-NMUS-NVUS-NYUS-OHUS-OKUS-PAUS-SCUS-TNUS-TXUS-VAUS-WAUS-WIUS-WV
2020-09-26 41971 146158 787 9974 789 591 9459 31232 31483 376 269 730 35818 6366 2424 1944 4687 872 141406 9313 12591 25296 93379 10308 25394 76243 32037 5284 20140 16376 7929 204490 2501 1285 5621 15583 2040 14022 6752 1314 8588 3351 635 1154 5262 9385 3914 6964 2004 1929 2911 3440 227 469 16103 870 1582 33108 4740 1004 8083 3323 2342 15707 3142 2096 1281 337
2020-09-27 42000 146500 790 9980 797 605 9471 31340 31520 383 274 736 35840 6366 2430 1947 4697 874 142100 9321 12630 25420 94300 10430 25520 76570 32130 5342 20190 16440 7991 205000 2512 1287 5623 15660 2043 14090 6772 1322 8612 3360 651 1161 5285 9397 3919 6967 2010 1929 2923 3450 228 472 16110 871 1590 33110 4765 1004 8103 3339 2358 15820 3182 2103 1284 342
2020-09-28 42030 146800 792 9980 801 617 9483 31440 31550 389 277 745 35860 6366 2449 1952 4726 876 142800 9332 12670 25550 95120 10540 25660 76950 32220 5396 20320 16500 8058 205700 2517 1299 5641 15730 2046 14160 6803 1327 8644 3375 661 1168 5296 9413 3926 6975 2016 1959 2936 3473 234 475 16110 876 1597 33120 4783 1011 8126 3352 2377 15930 3209 2110 1290 345
2020-09-29 42050 147000 794 9990 804 636 9494 31550 31570 397 282 752 35890 6381 2464 1958 4755 878 143600 9341 12720 25670 95930 10650 25770 77310 32300 5438 20410 16560 8126 206600 2524 1306 5662 15800 2049 14250 6833 1332 8675 3392 668 1174 5311 9427 3933 6979 2020 1990 2947 3495 241 478 16120 880 1604 33120 4803 1017 8148 3367 2395 16040 3232 2116 1295 347
2020-09-30 42070 147300 795 9990 808 655 9503 31640 31590 407 286 758 35910 6384 2496 1963 4783 880 144300 9351 12770 25780 96590 10770 25920 77670 32370 5491 20480 16620 8193 207500 2530 1314 5681 15860 2052 14330 6859 1335 8709 3408 678 1181 5327 9443 3942 6985 2024 2019 2959 3518 250 481 16120 885 1610 33120 4818 1023 8164 3379 2415 16160 3247 2121 1301 349
2020-10-01 42090 147400 796 10000 811 669 9514 31730 31610 414 290 765 35940 6387 2511 1968 4811 882 145000 9360 12810 25900 97290 10910 26060 77990 32420 5542 20540 16670 8262 208200 2536 1319 5699 15910 2056 14410 6879 1339 8749 3428 690 1189 5344 9458 3947 6991 2029 2063 2967 3540 255 483 16120 890 1616 33120 4827 1030 8193 3391 2434 16270 3274 2126 1308 352
2020-10-02 42100 147600 797 10000 813 686 9527 31840 31630 422 294 770 35970 6389 2528 1973 4825 883 145700 9369 12850 25970 98000 11030 26170 78330 32470 5582 20580 16720 8329 208900 2541 1323 5717 15970 2060 14480 6904 1342 8786 3452 700 1195 5361 9472 3955 6996 2031 2094 2976 3551 262 486 16130 896 1621 33120 4841 1034 8218 3403 2447 16380 3288 2130 1313 354
2020-10-03 42110 147700 801 10000 816 699 9536 32000 31660 430 299 775 36000 6391 2547 1977 4849 885 146300 9378 12900 26050 98540 11150 26250 78690 32540 5622 20620 16760 8397 210000 2544 1326 5733 16030 2064 14560 6927 1345 8823 3475 711 1203 5374 9485 3961 6999 2034 2119 2984 3568 268 487 16130 901 1626 33120 4852 1037 8244 3413 2460 16480 3309 2134 1318 356
2020-10-04 42120 147900 803 10010 818 714 9541 32180 31680 438 303 780 36020 6391 2564 1982 4864 886 146900 9387 12930 26120 99010 11260 26300 78960 32590 5664 20660 16800 8462 210800 2548 1329 5751 16080 2067 14620 6948 1347 8864 3498 721 1212 5390 9494 3968 7004 2036 2146 2992 3581 274 487 16140 908 1630 33120 4864 1039 8271 3424 2468 16580 3331 2138 1322 358
2020-10-05 42130 148100 804 10010 821 728 9550 32380 31700 448 307 783 36050 6391 2583 1988 4880 887 147500 9396 12970 26200 99300 11380 26380 79220 32630 5697 20690 16840 8529 211500 2553 1333 5765 16120 2071 14670 6958 1347 8903 3523 732 1221 5397 9506 3976 7008 2038 2181 2999 3596 280 489 16140 914 1634 33120 4875 1044 8296 3433 2480 16670 3355 2140 1326 360

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