Iterations = 3001:15000 Thinning interval = 1 Sample size = 12000 DIC: 1225751 G-structure: ~county post.mean l-95% CI u-95% CI eff.samp county 0.1292 0.1206 0.1373 678.7 R-structure: ~units post.mean l-95% CI u-95% CI eff.samp units 1.461 1.449 1.474 240.5 Location effects: flu ~ LOGN + 1 + max_HUS_mean + d_max_HUS_0 + d_max_HUS_min_1 + d_max_HUS_min_2 + d_max_HUS_min_3 + d_max_HUS_min_4 + t_avg_mean + d_t_avg_0 + d_t_avg_min_1 + d_t_avg_min_2 + d_t_avg_min_3 + d_t_avg_min_4 + RSDS_mean + d_RSDS_0 + d_RSDS_min_1 + d_RSDS_min_2 + d_RSDS_min_3 + d_RSDS_min_4 + AVG_PRESS_mean + d_AVG_PRESS_0 + d_AVG_PRESS_min_1 + d_AVG_PRESS_min_2 + d_AVG_PRESS_min_3 + d_AVG_PRESS_min_4 + tot_prec_mean + d_tot_prec_0 + d_tot_prec_min_1 + d_tot_prec_min_2 + d_tot_prec_min_3 + d_tot_prec_min_4 + Wind_avg_mean + d_Wind_avg_0 + d_Wind_avg_min_1 + d_Wind_avg_min_2 + d_Wind_avg_min_3 + d_Wind_avg_min_4 + Income + airport_diffusion + Am_Ind + Asian + White_Hisp + W_non_Hisp + Black_Hisp + B_non_Hisp + Pacific + Insured + Poor + Urban + v1 + v2 + land1 + land2 + land3 + land4 + tweet1 + tweet2 + tweet3 + tweet4 + air1 + air2 + air3 + air4 + HA + M1 + M2 + NA. + Cum_vac_per_N_0 + Cum_vac_per_N_1 + Cum_vac_per_N_2 + Cum_vac_per_N_3 post.mean l-95% CI u-95% CI eff.samp pMCMC (Intercept) -8.2406592 -8.2569487 -8.2249075 250.552 < 8e-05 *** LOGN 1.0000016 0.9999392 1.0000631 12000.000 < 8e-05 *** max_HUS_mean 0.4214480 0.3120466 0.5402290 1025.653 < 8e-05 *** d_max_HUS_0 -0.4526458 -0.4839008 -0.4221490 728.682 < 8e-05 *** d_max_HUS_min_1 -0.4338214 -0.4668515 -0.4023481 717.707 < 8e-05 *** d_max_HUS_min_2 -0.2708636 -0.3015672 -0.2389487 810.219 < 8e-05 *** d_max_HUS_min_3 -0.1443366 -0.1763451 -0.1130159 817.581 < 8e-05 *** d_max_HUS_min_4 -0.0131062 -0.0430018 0.0161772 751.010 0.389667 t_avg_mean 0.3247926 0.1815905 0.4663957 945.964 < 8e-05 *** d_t_avg_0 0.3237273 0.2846513 0.3631186 790.928 < 8e-05 *** d_t_avg_min_1 -0.0293255 -0.0691606 0.0116840 792.463 0.158667 d_t_avg_min_2 -0.0627789 -0.1028556 -0.0209469 826.431 0.001667 ** d_t_avg_min_3 -0.1235131 -0.1642886 -0.0836250 867.842 < 8e-05 *** d_t_avg_min_4 -0.2096625 -0.2438365 -0.1734306 926.770 < 8e-05 *** RSDS_mean -0.0109683 -0.0900094 0.0716588 1513.133 0.787333 d_RSDS_0 0.0761396 0.0443221 0.1067708 766.526 < 8e-05 *** d_RSDS_min_1 -0.1069118 -0.1444697 -0.0674464 624.255 < 8e-05 *** d_RSDS_min_2 -0.1986164 -0.2372641 -0.1616455 733.234 < 8e-05 *** d_RSDS_min_3 -0.2889410 -0.3272660 -0.2493882 690.768 < 8e-05 *** d_RSDS_min_4 -0.5658467 -0.6009899 -0.5285501 676.028 < 8e-05 *** AVG_PRESS_mean -0.4551788 -0.5230455 -0.3824303 527.418 < 8e-05 *** d_AVG_PRESS_0 -0.0424002 -0.0542565 -0.0315362 916.661 < 8e-05 *** d_AVG_PRESS_min_1 0.0241356 0.0120178 0.0358669 903.713 0.000167 *** d_AVG_PRESS_min_2 0.0548374 0.0432157 0.0672403 841.394 < 8e-05 *** d_AVG_PRESS_min_3 0.0599222 0.0474628 0.0715902 869.076 < 8e-05 *** d_AVG_PRESS_min_4 0.0656263 0.0538283 0.0771438 853.769 < 8e-05 *** tot_prec_mean 0.0114883 -0.0424415 0.0668198 731.853 0.679333 d_tot_prec_0 0.1386762 0.1272909 0.1500683 811.209 < 8e-05 *** d_tot_prec_min_1 0.1027517 0.0916455 0.1140461 859.018 < 8e-05 *** d_tot_prec_min_2 0.0644345 0.0531754 0.0760908 838.247 < 8e-05 *** d_tot_prec_min_3 0.0257203 0.0144506 0.0372686 825.186 < 8e-05 *** d_tot_prec_min_4 -0.0079771 -0.0194246 0.0034228 785.707 0.177167 Wind_avg_mean -0.0858236 -0.1188866 -0.0527192 1380.728 < 8e-05 *** d_Wind_avg_0 -0.0225609 -0.0340678 -0.0106695 844.944 0.000167 *** d_Wind_avg_min_1 -0.0356190 -0.0472840 -0.0235237 803.523 < 8e-05 *** d_Wind_avg_min_2 -0.0479172 -0.0593503 -0.0359709 853.532 < 8e-05 *** d_Wind_avg_min_3 -0.0574529 -0.0691737 -0.0452484 759.549 < 8e-05 *** d_Wind_avg_min_4 -0.0956176 -0.1069918 -0.0832735 811.765 < 8e-05 *** Income 0.0872433 0.0418707 0.1329676 1251.395 0.000167 *** airport_diffusion -0.0551047 -0.0935386 -0.0185970 2355.592 0.005167 ** Am_Ind 0.3918168 0.0980381 0.6927664 600.945 0.011167 * Asian 0.2049411 0.1133480 0.2929085 938.284 < 8e-05 *** White_Hisp 0.9335354 0.4318622 1.4687478 763.241 0.000167 *** W_non_Hisp 1.2702695 0.4433602 2.0846198 757.431 0.002500 ** Black_Hisp 0.0450459 0.0068741 0.0824588 2877.013 0.019500 * B_non_Hisp 0.9712011 0.3389865 1.5847850 790.818 0.002500 ** Pacific 0.0003299 -0.0337940 0.0332059 916.583 0.980167 Insured -0.0343712 -0.0799690 0.0101023 765.036 0.138500 Poor 0.1693304 0.1196648 0.2210948 1449.222 < 8e-05 *** Urban -0.1087552 -0.1478771 -0.0701923 795.982 < 8e-05 *** v1 0.2364113 0.2263989 0.2469861 1051.627 < 8e-05 *** v2 0.2611617 0.2444674 0.2776315 325.079 < 8e-05 *** land1 0.3426632 0.3338474 0.3519550 1397.754 < 8e-05 *** land2 0.4803546 0.4691738 0.4910270 1049.957 < 8e-05 *** land3 0.5884251 0.5762742 0.6005839 867.245 < 8e-05 *** land4 0.6343511 0.6193677 0.6488294 428.996 < 8e-05 *** tweet1 0.0610364 0.0520248 0.0707023 1565.760 < 8e-05 *** tweet2 0.0750345 0.0629081 0.0866571 951.234 < 8e-05 *** tweet3 0.0947278 0.0806346 0.1083207 611.257 < 8e-05 *** tweet4 0.1218912 0.1045276 0.1369636 359.169 < 8e-05 *** air1 0.0696065 0.0617693 0.0769879 1811.908 < 8e-05 *** air2 0.0887291 0.0803896 0.0971699 1420.346 < 8e-05 *** air3 0.1168818 0.1086502 0.1255046 1341.393 < 8e-05 *** air4 0.1860799 0.1763804 0.1954678 886.535 < 8e-05 *** HA 0.1982409 0.1808584 0.2154042 718.537 < 8e-05 *** M1 0.2152996 0.1817758 0.2513366 708.065 < 8e-05 *** M2 -0.1671069 -0.2030548 -0.1307529 645.313 < 8e-05 *** NA. -0.0798733 -0.0956725 -0.0633968 692.518 < 8e-05 *** Cum_vac_per_N_0 -0.2068936 -0.9036250 0.2249724 11.964 0.611500 Cum_vac_per_N_1 -0.0288059 -0.7037666 0.7961608 10.045 0.817333 Cum_vac_per_N_2 0.0464445 -0.5188023 0.5174840 8.316 0.768333 Cum_vac_per_N_3 -0.1656707 -0.4843053 0.1313331 17.075 0.465833 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1