From: Exploring the influence of human mobility factors and spread prediction on early COVID-19 in the USA
β0 | τβ | γ | δ | Active MSLE | Recovered MSLE | Deaths MSLE | |
---|---|---|---|---|---|---|---|
USA | 0.2965 (0.2952, 02978) | 18.2532 (18.1289, 18.3776) | 0.0085 (0.0083, 0.0088) | 0.0014 (0.0012, 0.0016) | 0.0145 | 0.0716 | 0.5293 |
CA | 0.1408 (0.1378, 0.1438) | 52.4868 (51.1321, 53.8414) | 0.0135 (0.0128, 0.0143) | 0.0021 (0.0015, 0.0027) | 0.4805 | 1.0055 | 0.8436 |
FL | 0.1457 (0.1369, 0.1404) | 45.5202 (44.0674, 46.973) | 0.0000 (0.0000, 0.0005) | 0.0006 (0.0000, 0.0011) | 1.3653 | 12.1147 | 3.9553 |
NY | 0.1450 (0.1377, 0.1523) | 18.0593 (17.6187, 18.4999) | 0.0013 (0.0012, 0.0013) | 0.0008 (0.0007, 0.0008) | 0.0002 | 0.0024 | 0.0291 |
TX | 0.2252 (0.2236, 0.2269) | 38.2234 (37.2958, 39,151) | 0.0022 (0.0017, 0.0028) | 0.0469 (0.0457, 0.0481) | 0.3292 | 0.5997 | 0.7387 |
NJ | 0.3336 (0.3278, 0.3394) | 16.5512 (16.0440, 17.058) | 0.0010 (0.0007, 0.0012) | 0.0022 (0.0019, 0.0024) | 0.1107 | 0.8469 | 0.5487 |
IL | 0.2649 (0.2622, 0.2660) | 22.8471 (22.5580, 23.1362) | – | 0.0009 (0.0008, 0.0010) | 0.0646 | – | 1.1597 |
GA | 0.1576 (0.1549, 0.1602) | 41.2431 (40.1865, 42.2998) | 0.0012 (0.0006, 0.0019) | 0.0020 (0.0014, 0.0027) | 0.8875 | 2.9482 | 1.9281 |
AZ | 0.2092 (0.2082, 0.2103) | 18.1688 (18.0336, 18.3040) | 0.0008 (0.0006, 0.0010) | 0.0001 (0.0000, 0.0002) | 0.1260 | 1.1917 | 0.8466 |
MA | 0.2332 (0.2325, 0.2340) | 18.2453 (18.1355, 18.3550) | – | 0.0013 (0.0013, 0.0014) | 0.0118 | – | 0.4421 |
PA | 0.2976 (0.2964, 0.2987) | 15.4270 (15.3304, 15.5235) | 0.0003 (0.0002, 0.0004) | 0.0013 (0.0012, 0.0015) | 0.0053 | 1.0329 | 0.3800 |