# Project title: Anti-clustering in the national SARS-CoV-2 daily infection counts # Git commit (that produced this dataset): 27ac91a # Git repository: https://codeberg.org/boud/subpoisson # Pre-print: https://arXiv.org/abs/abs/2007.11779 # DOI (Zenodo): https://doi.org/10.5281/zenodo.4432080 # # This data set is not copyrightable [1][2][3]. # Attribution would be appreciated. :) # If necessary, you may consider the following to be the copyright terms: # Copyright (C) 2021 Boud Roukema (boud astro.uni.torun.pl) # This dataset is available under Creative Commons Public Domain (CC0). # License URL: https://creativecommons.org/publicdomain/zero/1.0/ # # [1] https://www.gnu.org/licenses/license-list.html#ODbl # [2] https://law.stackexchange.com/questions/11359/can-you-copyright-data # [3] https://web.archive.org/web/20160304123939/http://www.lib.umich.edu/copyright/facts-and-data # # Analysis of 28-day SARS-CoV-2 daily infection count sequences # Column 1: XX [%2s] country ISO 3166-1 alpha-2 code (no territorial jurisdiction claims) # Column 2: N_total [%d] total number of infections ignoring threshold # Column 3: N_total [%d] total number of infections of 28-day subsequence # Column 4: n_i_mean [%f] mean number of daily infections # Column 5: p_KS_0 [%f] KS probability of consistency with Poisson distribution # Column 6: p_cluster [%f] given the optimal phi_i value, KS probability of consistency # Column 7: cluster [%f] optimal phi_i value # Column 8: stderrlog10cluster [%f] log10 standard error in phi_i (bootstrap) # Column 9: start_date [yyyy-mm-dd] date at which sequence starts DZ 99610 6372 227.6 0.002 0.364 0.050 0.128 2020-09-03 TJ 13062 1765 63.0 0.017 0.964 0.126 0.136 2020-06-07 TR 2669568 28406 1014.5 0.029 0.998 0.138 0.198 2020-06-30 RU 3159297 151307 5403.8 0.263 0.589 0.202 0.138 2020-07-20 BY 194284 25813 921.9 0.138 0.889 0.214 0.142 2020-05-08 AL 58316 5705 203.8 0.333 0.642 0.229 0.171 2020-09-27 AE 207822 14357 512.8 0.077 0.229 0.232 0.215 2020-04-14 NI 6046 3527 135.7 0.171 0.772 0.302 0.166 2020-07-07 SY 4931 1961 70.0 0.188 0.905 0.501 0.181 2020-08-15 SA 331359 33103 1182.2 0.468 0.539 1.109 0.142 2020-04-12 GE 227420 10763 384.4 0.794 0.995 1.660 0.196 2020-09-17 IR 1225142 52172 1863.3 0.198 0.968 2.851 0.144 2020-03-30 HR 210837 1205 60.2 0.267 0.893 3.236 0.278 2020-03-28 NE 777902 3961 141.5 0.102 0.970 3.673 0.116 2020-06-04 SN 19140 2541 90.8 0.081 0.988 3.715 0.218 2020-05-12 DK 164116 2844 101.6 0.032 0.973 4.027 0.206 2020-04-26 RS 337923 6484 231.6 0.134 0.957 4.169 0.174 2020-04-13 NZ 2164 621 69.0 0.444 0.901 4.315 0.306 2020-03-31 CA 581428 27355 977.0 0.118 0.999 4.416 0.180 2020-05-10 CR 169321 4111 146.8 0.040 0.969 5.012 0.207 2020-06-10 AU 28430 5417 246.2 0.114 0.900 5.070 0.205 2020-03-21 PA 246790 5139 183.5 0.123 0.898 5.188 0.186 2020-04-20 AR 1613911 3024 108.0 0.016 0.752 5.309 0.208 2020-03-31 PL 1294878 11314 404.1 0.067 0.995 5.370 0.048 2020-07-07 TH 6884 1539 96.2 0.289 0.986 5.370 0.256 2020-03-26 NG 87511 15965 570.2 0.006 0.844 5.754 0.163 2020-06-29 MM 124630 34583 1235.1 0.042 0.993 5.821 0.157 2020-11-27 KW 150584 18199 650.0 0.017 0.631 5.888 0.178 2020-05-31 IS 5845 825 68.8 0.325 0.996 5.957 0.348 2020-03-25 ME 48247 2479 88.5 0.135 0.984 5.957 0.145 2020-07-11 IL 426016 12364 441.6 0.044 0.999 6.310 0.190 2020-03-25 ET 124264 13330 476.1 0.033 0.652 6.457 0.185 2020-11-30 AT 360815 4457 159.2 0.082 0.979 6.918 0.151 2020-04-03 IN 10266674 215565 7698.8 0.008 0.581 6.998 0.161 2020-05-16 AZ 35274 756 63.0 0.103 0.900 7.674 0.362 2020-04-06 KR 61769 3103 110.8 0.015 0.730 7.762 0.167 2020-03-08 UA 1055047 11643 415.8 0.013 0.903 8.035 0.166 2020-05-05 IT 2107314 5629 201.0 0.007 0.967 8.128 0.105 2020-06-27 HU 322514 2264 80.9 0.060 0.999 8.318 0.222 2020-04-05 PK 479715 52692 1881.9 0.007 0.885 8.318 0.163 2020-10-29 RO 632263 28544 1019.4 0.028 0.900 8.414 0.152 2020-07-12 FI 36653 3307 118.1 0.008 0.940 8.810 0.183 2020-03-19 PE 1015137 115488 4124.6 0.007 0.697 8.810 0.208 2020-07-03 BD 513510 44768 1598.9 0.001 0.717 8.913 0.185 2020-09-05 MK 83329 459 57.4 0.124 1.000 9.441 0.373 2020-04-11 CL 714132 11364 405.9 0.006 0.974 9.441 0.175 2020-03-31 BE 644242 3210 114.6 0.003 0.997 9.550 0.205 2020-06-02 KE 96458 3286 117.4 0.004 0.995 10.233 0.140 2020-05-24 PH 474064 7100 253.6 0.011 0.789 10.233 0.254 2020-05-01 ID 743198 6628 236.7 0.001 0.988 10.351 0.180 2020-03-26 NO 9071 3827 136.7 0.002 0.982 10.715 0.197 2020-03-28 MD 144818 5525 197.3 0.003 0.983 10.839 0.196 2020-05-17 PT 413839 9276 331.3 0.005 0.998 11.220 0.072 2020-06-03 CH 452296 4890 174.6 0.002 0.992 11.220 0.165 2020-04-13 CO 1642775 7786 278.1 0.000 0.761 11.350 0.183 2020-04-12 MY 113010 3858 137.8 0.002 0.941 12.162 0.201 2020-03-25 OM 73791 3849 137.5 0.001 0.910 12.445 0.200 2020-04-19 MX 1426094 12994 464.1 0.004 0.980 13.490 0.089 2020-03-29 GB 2519031 24721 882.9 0.001 0.617 14.289 0.119 2020-07-23 CZ 732174 4203 150.1 0.001 0.983 14.791 0.167 2020-04-01 LU 46415 1675 98.5 0.051 0.909 14.791 0.267 2020-03-24 HN 122763 4355 155.5 0.009 0.978 15.311 0.173 2020-05-11 HT 8925 3361 120.0 0.006 0.865 16.788 0.172 2020-06-04 DO 153585 14733 526.2 0.000 0.936 17.378 0.126 2020-09-14 SE 454758 11023 393.7 0.002 0.994 17.783 0.080 2020-03-19 IE 91779 4550 162.5 0.000 0.912 18.408 0.192 2020-04-30 LV 33484 4491 160.4 0.001 0.971 19.275 0.182 2020-10-08 ES 1930146 9341 333.6 0.002 0.993 19.953 0.030 2020-06-01 GT 99765 8271 295.4 0.000 0.915 22.646 0.129 2020-05-19 UZ 77126 1095 78.2 0.010 0.970 27.542 0.244 2020-04-12 DE 1719737 12047 430.2 0.000 0.970 29.512 0.018 2020-05-31 SD 23316 5292 189.0 0.000 0.920 35.075 0.123 2020-05-21 PF 1728 1070 107.0 0.009 0.948 36.308 0.220 2020-09-04 EC 226195 9316 332.7 0.000 0.536 75.858 0.119 2020-03-25 CN 44653 43366 2409.2 0.000 0.977 80.353 0.216 2020-01-25 BR 7675973 35471 1266.8 0.000 0.964 87.096 0.018 2020-03-22 FR 2621191 15134 540.5 0.000 0.994 101.158 0.081 2020-05-16 US 19005793 424541 15162.2 0.000 0.957 130.317 0.000 2020-03-12