Table 2.
Hospitalization model results.
| Parameter | COVID Hospitalization | Non COVID Hospitalization | ||
|---|---|---|---|---|
| Estimate | t-statistics | Estimate | t-statistics | |
| Intercept | −20.151 | −11.971 | −9.858 | −6.025 |
| Covid-19 transmission factors | ||||
| COVID case per 100 people, with 1 week lag | – | – | −0.076 | −4.292 |
| COVID case per 100 people, with 2 weeks lag | 1.266 | 17.790 | −0.107 | −5.933 |
| x Effect in the West Region | −0.145 | −1.765 | – | – |
| x Effect in the South Region | −0.694 | −8.575 | – | – |
| % difference with the preceding 3 week moving average | 0.089 | 3.986 | – | – |
| x Effect in the Mid−West Region* | 0.177 | 5.894 | – | – |
| x Effect in the South Region | −0.038 | −1.653 | – | – |
| Weekly COVID-19 cases higher than the moving average (base is covid-19 cases same or lower) | 0.058 | 5.753 | – | – |
| Mobility trends | ||||
| Ln (Daily Average Exposure) with a 2 weeks lag | 0.157 | 7.285 | – | – |
| Ln (Daily Average Exposure) with a 3 weeks lag | 0.295 | 12.502 | – | – |
| Demographics | ||||
| Young population percentage (19 years or less) | −0.051 | −5.511 | −0.043 | −4.835 |
| Hispanic percentage | 0.025 | 11.141 | 0.008 | 3.426 |
| African American percentage | 0.020 | 9.431 | 0.002 | 0.844 |
| Female percentage | 0.173 | 10.719 | 0.153 | 9.758 |
| Ln (median income) | 0.619 | 5.250 | – | – |
| Health indicators | ||||
| Ln (number of cardiovascular patients per 1000 Medicare beneficiaries) | 1.133 | 9.215 | – | – |
| Hepatitis C Cases per 100 K people | 0.070 | 2.624 | – | – |
| Ln (HIV rate per 100 K People) | – | – | 0.236 | 6.307 |
| Ln (cancer rate per 100 K People) | – | – | 0.973 | 3.747 |
| Spatial factors | ||||
| Region (Base: West, South, Pacific) | ||||
| Mid-West region | 0.111 | 1.897 | ||
| North East region | −0.109 | −2.197 | – | – |
| x Effect Since 2nd Wave started (October 30th) | 0.204 | 3.923 | – | – |
| Top10 tourist state | 0.243 | 3.736 | – | – |
| x Effect Since 2nd Wave started | −0.114 | −3.061 | – | – |
| Number of airports per 100 k people | 0.017 | 1.651 | – | – |
| Temporal factors | ||||
| Effect Since 2nd Wave started (October 30th) | 0.360 | 18.212 | – | – |
| Effect Since 25th December | 0.106 | 6.422 | −0.041 | −3.786 |
| Correlations | ||||
| 2 | 1.912 | 49.925 | 1.370 | 40.445 |
| 0.930 | 453.710 | 0.965 | 791.200 | |
| 0.835 | 237.303 | 0.888 | 306.605 | |
*The indented variable name presentation starting with “x” is adopted to indicate that the variable represents the interaction term with that specific variable.