COVID-19 short-term forecasts Deaths 2020-09-21


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 2020-09-21

UKEUATBEBGBSCZDEDKESFIFRGRHRHUIEITNLPLPTROSENOCH
Peak date04-1004-0604-0604-1508-2904-11 --04-1504-0403-3104-2104-08 -- --04-1904-2403-2904-0404-2504-1508-2304-1204-0704-06
Peak daily increment 964 3095 20 328 9 7 226 15 946 30 943 13 167 781 153 23 31 44 98 8 60
Days from 100 to peak 23 33 7 22 107 0 22 3 18 1 23 6 21 25 15 19 17 143 18 -2 14
Days from peak/2 to peak 17 23 16 21 155 22 22 15 14 20 18 26 22 20 16 31 23 149 21 20 19
Last total 41788 144370 767 9950 765 275 522 9390 640 30663 341 31174 344 253 686 1792 35724 6281 2298 1920 4458 5865 267 2050
Last daily increment 11 359 1 2 4 0 19 0 2 168 2 89 6 5 3 0 17 2 5 8 23 0 0 5
Last week 124 1713 10 20 29 0 46 23 7 659 2 336 31 23 40 5 91 23 71 45 222 14 2 22
Days since peak 164 168 168 159 23 163 159 170 174 153 166 155 150 176 170 149 159 29 162 167 168

Peak increase in estimated trend of Deaths 2020-09-21

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-NEUS-NHUS-NJUS-NMUS-NVUS-NYUS-OHUS-OKUS-ORUS-PAUS-SCUS-SDUS-TNUS-TXUS-UTUS-VAUS-WAUS-WIUS-WV
Peak date09-0307-2105-0607-1708-2106-16 --07-2706-2407-2309-1405-2907-2204-1504-1309-1609-1507-2108-0604-2404-2004-2906-2308-0708-2205-2109-0905-1205-02 --04-1404-1404-2504-2904-1405-2809-0508-26 --05-2005-2906-2505-1308-1905-1808-2908-2207-2805-0507-28 --08-2107-2704-1704-2204-0604-1104-23
Peak daily increment 35 1065 168 785 340 1662 214 683 2947 154 171 323 125 2226 91 135 78 138 72 105 11 46 175 67 14 15 112 99 10 64 459 56 137 23 25 31 40 25 1566 9 19 3573 92 10 5 137 45 27 386 6 104 25 12 16
Days from 100 to peak 108 115 36 93 131 72 144 79 107 166 48 84 18 28 156 122 100 131 21 18 10 60 127 144 27 60 41 28 0 17 23 22 17 41 149 135 0 17 85 16 129 59 147 131 89 32 103 131 115 -45 7 15 2 -89
Days from peak/2 to peak 157 106 37 63 124 52 144 72 78 168 49 76 20 19 163 136 108 133 27 20 30 74 127 147 50 160 44 32 19 21 20 27 18 56 160 148 30 31 81 41 145 49 151 149 131 33 119 143 111 18 11 30 18 4
Last total 854 137272 9279 12298 24397 88935 9677 24478 73697 31369 4999 19420 15992 7574 199865 2439 1197 5477 15056 2018 4494 621 627 13317 6450 1284 447 8457 3287 601 1112 5207 9311 3873 6901 1969 1732 2810 3247 450 438 16069 851 1531 33073 4623 948 529 7985 3212 202 2203 15127 365 3019 2044 1244 315
Last daily increment 3 377 12 12 189 1053 124 177 204 0 15 71 39 68 356 2 16 2 40 4 2 1 6 21 2 19 4 7 6 6 1 9 7 3 12 4 9 0 4 8 0 2 2 0 2 8 2 3 25 13 0 14 39 1 6 12 2 1
Last week 30 4153 40 258 1109 6869 712 1025 2019 557 336 697 351 388 4084 186 47 134 462 22 9 5 9 530 198 50 24 125 52 44 38 99 92 39 47 42 75 76 136 14 0 26 21 49 52 117 36 10 125 114 18 108 534 4 182 33 24 32
Days since peak 18 62 138 66 31 97 56 89 60 7 115 61 159 161 5 6 62 46 150 154 145 90 45 30 123 12 132 142 160 160 149 145 160 116 16 26 124 115 88 131 33 126 23 30 55 139 55 31 56 157 152 168 163 151

Deaths count forecast Europe (bold red line in graphs) 2020-09-22 to 2020-09-28

DateUKEUBEBGCZDEESFRGRHRHUITNLPLPTROCH
2020-09-21 41788 144370 9950 765 522 9390 30663 31174 344 253 686 35724 6281 2298 1920 4458 2050
2020-09-22 41790 144500 9950 779 537 9396 30730 31200 348 256 692 35740 6281 2310 1928 4494 2053
2020-09-23 41790 144600 9950 782 551 9403 30790 31230 351 259 697 35750 6282 2321 1935 4531 2055
2020-09-24 41790 144700 9950 789 564 9405 30850 31250 355 262 702 35760 6286 2336 1942 4566 2057
2020-09-25 41790 144800 9950 793 578 9412 30910 31280 358 265 708 35770 6291 2348 1949 4602 2060
2020-09-26 41790 144900 9950 796 591 9414 30970 31310 362 268 713 35780 6293 2358 1956 4637 2062
2020-09-27 41790 145000 9950 800 604 9415 31020 31330 365 271 718 35790 6296 2368 1963 4673 2064
2020-09-28 41790 145100 9950 804 617 9416 31070 31360 369 274 724 35800 6297 2375 1969 4709 2067

Deaths count forecast (bold red line in graphs) 2020-09-22 to 2020-09-28

DateAustraliaBrazilCanadaChileColombiaIndiaIndonesiaIranMexicoPeruPhilippinesRussiaSouth AfricaTurkeyUSUS-ALUS-ARUS-AZUS-CAUS-COUS-FLUS-GAUS-IAUS-IDUS-ILUS-INUS-KSUS-KYUS-LAUS-MAUS-MDUS-MIUS-MNUS-MOUS-MSUS-NCUS-NJUS-NMUS-NVUS-NYUS-OHUS-OKUS-PAUS-SCUS-TNUS-TXUS-VAUS-WAUS-WIUS-WV
2020-09-21 854 137272 9279 12298 24397 88935 9677 24478 73697 31369 4999 19420 15992 7574 199865 2439 1197 5477 15056 2018 13317 6450 1284 447 8457 3287 601 1112 5207 9311 3873 6901 1969 1732 2810 3247 16069 851 1531 33073 4623 948 7985 3212 2203 15127 3019 2044 1244 315
2020-09-22 860 138200 9284 12370 24600 89980 9780 24640 74550 31480 5050 19510 16060 7633 200900 2446 1209 5491 15220 2021 13450 6532 1290 449 8471 3302 608 1126 5239 9324 3878 6901 1973 1747 2838 3284 16080 854 1548 33080 4667 956 7985 3246 2242 15310 3022 2050 1255 319
2020-09-23 866 139200 9289 12390 24790 91000 9890 24800 74850 31600 5104 19640 16130 7691 201800 2476 1219 5511 15320 2028 13600 6551 1302 452 8502 3315 615 1135 5254 9337 3883 6901 1980 1762 2860 3322 16090 857 1561 33100 4707 966 7993 3276 2266 15420 3024 2055 1263 324
2020-09-24 871 139900 9293 12480 24990 92020 9990 24960 75100 31710 5158 19770 16200 7748 202600 2486 1229 5542 15420 2032 13750 6599 1305 454 8525 3321 621 1147 5270 9350 3889 6901 1990 1775 2880 3350 16100 860 1574 33110 4736 973 8005 3299 2288 15490 3028 2061 1267 328
2020-09-25 877 140700 9298 12540 25190 93040 10090 25120 75610 31820 5213 19880 16270 7805 203500 2496 1238 5573 15520 2036 13870 6648 1318 456 8545 3335 628 1155 5296 9364 3894 6902 1998 1789 2889 3375 16110 864 1586 33120 4763 982 8028 3323 2317 15630 3031 2066 1273 332
2020-09-26 882 141300 9303 12590 25390 94050 10190 25280 76020 31930 5268 20000 16340 7861 204100 2511 1247 5590 15620 2043 13930 6696 1319 458 8566 3346 635 1162 5296 9378 3899 6904 2008 1802 2899 3403 16110 867 1592 33130 4777 986 8041 3336 2340 15720 3033 2072 1277 336
2020-09-27 888 141600 9308 12630 25590 95070 10290 25430 76180 32050 5323 20070 16410 7918 204300 2511 1255 5596 15620 2045 13930 6705 1319 460 8576 3348 642 1164 5322 9393 3904 6905 2012 1816 2900 3406 16120 870 1592 33150 4777 988 8053 3345 2345 15750 3036 2077 1278 340
2020-09-28 893 142000 9312 12660 25790 96100 10400 25590 76340 32160 5378 20130 16480 7975 204600 2516 1264 5598 15650 2047 13950 6710 1332 462 8582 3353 649 1165 5332 9407 3909 6907 2015 1829 2900 3410 16130 873 1594 33160 4787 989 8076 3358 2356 15800 3038 2083 1280 345

Deaths count average forecast Europe (bold black line in graphs) 2020-09-22 to 2020-09-28

DateUKEUBEBGCZDEESFRGRHRHUITNLPLPTROCH
2020-09-21 41788 144370 9950 765 522 9390 30663 31174 344 253 686 35724 6281 2298 1920 4458 2050
2020-09-22 41800 144500 9952 771 527 9396 30700 31190 345 255 691 35730 6281 2310 1923 4490 2051
2020-09-23 41820 144700 9954 775 532 9403 30750 31230 347 259 696 35740 6282 2321 1927 4525 2053
2020-09-24 41830 144900 9956 781 540 9405 30820 31260 351 261 702 35750 6285 2334 1931 4561 2056
2020-09-25 41850 145100 9959 786 548 9412 30880 31290 354 265 707 35760 6290 2346 1937 4596 2058
2020-09-26 41860 145300 9962 790 557 9414 30940 31330 358 268 712 35770 6291 2357 1942 4632 2060
2020-09-27 41870 145500 9965 795 565 9416 31000 31360 361 272 718 35780 6293 2366 1947 4667 2062
2020-09-28 41880 145700 9966 802 572 9417 31070 31400 365 275 723 35790 6293 2375 1952 4703 2065

Deaths count average forecast (bold black line in graphs) 2020-09-22 to 2020-09-28

DateAustraliaBrazilCanadaChileColombiaIndiaIndonesiaIranMexicoPeruPhilippinesRussiaSouth AfricaTurkeyUSUS-ALUS-ARUS-AZUS-CAUS-COUS-FLUS-GAUS-IAUS-IDUS-ILUS-INUS-KSUS-KYUS-LAUS-MAUS-MDUS-MIUS-MNUS-MOUS-MSUS-NCUS-NJUS-NMUS-NVUS-NYUS-OHUS-OKUS-PAUS-SCUS-TNUS-TXUS-VAUS-WAUS-WIUS-WV
2020-09-21 854 137272 9279 12298 24397 88935 9677 24478 73697 31369 4999 19420 15992 7574 199865 2439 1197 5477 15056 2018 13317 6450 1284 447 8457 3287 601 1112 5207 9311 3873 6901 1969 1732 2810 3247 16069 851 1531 33073 4623 948 7985 3212 2203 15127 3019 2044 1244 315
2020-09-22 856 138000 9280 12330 24520 90030 9760 24550 74200 31470 5054 19510 16040 7627 200600 2449 1211 5487 15170 2020 13420 6479 1286 450 8472 3303 607 1118 5226 9320 3877 6908 1973 1740 2827 3281 16070 853 1543 33080 4663 952 7987 3226 2222 15230 3033 2046 1250 318
2020-09-23 860 138900 9282 12370 24670 91150 9880 24650 74520 31600 5125 19620 16110 7686 201400 2473 1222 5507 15280 2024 13560 6506 1295 454 8500 3316 615 1127 5242 9333 3882 6915 1980 1750 2852 3317 16080 856 1555 33090 4697 960 7993 3253 2246 15350 3052 2051 1258 323
2020-09-24 863 139600 9286 12440 24820 92280 9990 24750 74770 31740 5197 19740 16170 7746 202000 2486 1231 5531 15390 2027 13710 6550 1299 458 8523 3322 623 1137 5259 9346 3888 6923 1990 1760 2873 3345 16080 859 1568 33090 4724 968 8002 3275 2271 15420 3071 2057 1262 328
2020-09-25 867 140400 9290 12490 24990 93410 10100 24850 75260 31870 5269 19850 16230 7806 202600 2498 1240 5554 15490 2031 13830 6594 1310 461 8543 3337 631 1145 5281 9359 3893 6931 1999 1770 2884 3372 16090 862 1580 33100 4752 975 8022 3298 2296 15560 3090 2061 1268 332
2020-09-26 871 141000 9294 12550 25220 94550 10200 24950 75830 32010 5342 19960 16300 7866 203100 2513 1252 5573 15590 2035 13910 6635 1313 464 8563 3348 639 1153 5291 9372 3898 6939 2008 1780 2897 3400 16090 865 1588 33110 4759 982 8033 3316 2321 15660 3109 2064 1275 337
2020-09-27 874 141500 9298 12600 25390 95720 10300 25050 76020 32140 5417 20050 16360 7926 203300 2523 1264 5586 15600 2037 13930 6667 1317 468 8576 3351 648 1159 5315 9385 3903 6947 2015 1790 2903 3411 16100 868 1592 33120 4761 987 8041 3334 2344 15730 3128 2068 1277 341
2020-09-28 878 142000 9303 12660 25540 96890 10410 25150 76280 32260 5492 20120 16430 7987 203500 2533 1275 5594 15650 2039 13970 6690 1323 471 8584 3354 656 1165 5331 9398 3908 6955 2019 1801 2909 3423 16100 871 1596 33130 4765 991 8057 3351 2367 15780 3148 2071 1278 346

Deaths count scenario forecast (bold purple line in graphs) 2020-09-22 to 2020-09-30

DateUKEUBEBGCZDEESFRGRHRHUITNLPLPTROCHAustraliaBrazilCanadaChileColombiaIndiaIndonesiaIranMexicoPeruPhilippinesRussiaSouth AfricaTurkeyUSUS-ALUS-ARUS-AZUS-CAUS-COUS-FLUS-GAUS-IAUS-IDUS-ILUS-INUS-KSUS-KYUS-LAUS-MAUS-MDUS-MIUS-MNUS-MOUS-MSUS-NCUS-NJUS-NMUS-NVUS-NYUS-OHUS-OKUS-PAUS-SCUS-TNUS-TXUS-VAUS-WAUS-WIUS-WV
2020-09-21 41788 144370 9950 765 522 9390 30663 31174 344 253 686 35724 6281 2298 1920 4458 2050 854 137272 9279 12298 24397 88935 9677 24478 73697 31369 4999 19420 15992 7574 199865 2439 1197 5477 15056 2018 13317 6450 1284 447 8457 3287 601 1112 5207 9311 3873 6901 1969 1732 2810 3247 16069 851 1531 33073 4623 948 7985 3212 2203 15127 3019 2044 1244 315
2020-09-22 41810 144500 9950 770 527 9396 30660 31180 346 255 693 35730 6284 2311 1926 4501 2051 859 138300 9281 12370 24550 90040 9760 24610 74350 31580 5125 19510 16080 7622 201000 2475 1213 5502 15190 2022 13470 6513 1286 449 8482 3299 611 1125 5233 9330 3880 6902 1978 1739 2837 3283 16070 854 1549 33080 4649 959 7998 3237 2233 15270 3043 2049 1250 321
2020-09-23 41840 144700 9950 774 534 9400 30660 31220 348 258 700 35730 6286 2326 1936 4528 2053 860 139000 9289 12410 24680 91140 9880 24750 74690 31680 5199 19590 16140 7680 201600 2517 1229 5518 15270 2025 13540 6541 1292 451 8505 3309 620 1133 5253 9347 3884 6904 1984 1747 2849 3314 16080 857 1557 33090 4670 964 8018 3252 2251 15350 3122 2053 1255 327
2020-09-24 41860 144900 9950 778 541 9404 30660 31270 352 261 706 35740 6289 2336 1947 4559 2056 860 139600 9297 12450 24820 92180 9990 24910 75030 31760 5273 19670 16190 7730 202200 2542 1234 5536 15340 2027 13610 6569 1295 453 8525 3321 627 1140 5274 9367 3888 6905 1990 1754 2862 3327 16080 859 1563 33100 4689 971 8042 3269 2268 15430 3173 2059 1259 332
2020-09-25 41870 145100 9950 782 547 9410 30680 31310 356 264 710 35750 6292 2347 1957 4586 2057 861 140300 9307 12490 24950 93150 10090 25030 75420 31830 5339 19720 16250 7781 202700 2577 1244 5555 15400 2030 13670 6592 1297 454 8547 3330 636 1147 5292 9394 3891 6905 1994 1760 2874 3355 16080 861 1570 33100 4707 976 8067 3285 2291 15500 3228 2063 1261 340
2020-09-26 41910 145300 9950 785 553 9414 30680 31360 359 268 714 35770 6294 2361 1969 4608 2058 861 140900 9318 12530 25060 94060 10180 25140 75800 31900 5406 19790 16300 7835 203100 2606 1255 5574 15460 2031 13730 6615 1300 456 8571 3339 644 1153 5310 9421 3896 6905 1999 1767 2883 3377 16080 864 1576 33110 4722 981 8101 3298 2304 15580 3348 2068 1264 348
2020-09-27 41930 145500 9950 789 560 9420 30680 31400 362 270 718 35770 6296 2371 1980 4633 2059 861 141500 9330 12560 25170 94850 10280 25250 76190 31960 5467 19830 16340 7882 203600 2635 1263 5591 15520 2032 13780 6640 1301 458 8595 3349 653 1166 5328 9444 3900 6905 2003 1773 2894 3402 16080 865 1582 33120 4740 985 8132 3312 2321 15640 3437 2071 1267 357
2020-09-28 41960 145600 9950 793 567 9424 30680 31450 365 273 723 35780 6298 2383 1992 4653 2061 861 142000 9341 12600 25280 95710 10350 25330 76530 32020 5530 19870 16380 7929 204100 2666 1271 5608 15570 2035 13830 6659 1301 459 8626 3352 660 1175 5356 9476 3903 6905 2007 1778 2902 3422 16080 866 1588 33130 4757 989 8160 3323 2335 15700 3501 2075 1269 367
2020-09-29 41980 145800 9950 795 572 9429 30680 31480 368 275 727 35780 6299 2388 2005 4672 2061 861 142500 9355 12640 25370 96420 10440 25410 76870 32090 5580 19920 16430 7980 204400 2691 1284 5623 15610 2036 13870 6678 1304 461 8657 3360 668 1184 5375 9506 3904 6905 2010 1783 2910 3437 16080 866 1593 33140 4770 992 8189 3335 2349 15750 3562 2079 1272 383
2020-09-30 42000 145900 9950 798 577 9434 30680 31510 370 278 730 35790 6301 2394 2017 4687 2061 861 143200 9368 12670 25460 97120 10530 25500 77240 32160 5630 19960 16460 8031 204900 2720 1292 5639 15660 2037 13900 6696 1305 463 8687 3369 675 1194 5380 9539 3904 6905 2013 1788 2918 3450 16080 866 1598 33150 4784 995 8218 3347 2358 15810 3628 2083 1275 398

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