Table 4 OLS estimates for Germany 28 days after the start of the county-specific epidemic with fatalities per 10,000 inhabitants as outcome variable
Estimate | Standard error | |
|---|---|---|
Intercept | −1.1628 | 0.6661 |
Intermediate timing | 0.3348 | 0.1403 |
Late timing | 0.5729 | 0.2663 |
Share of population aged 65+ | −6.4132 | 2.8281 |
Population: 0–105,878 | 0.4388 | 0.2112 |
Population: 105,879–158,080 | 0.2848 | 0.135 |
Population: 158,081–251,534 | 0.0665 | 0.0985 |
Population density: 0–117.3 | 0.0801 | 0.1425 |
Population density: 117.3–206.7 | 0.1201 | 0.1454 |
Population density: 206.7–779.7 | 0.0613 | 0.1347 |
Income per capita: 0–27,934 | −0.1437 | 0.1561 |
Income per capita: 27,935–33,109 | −0.1721 | 0.1439 |
Income per capita: 33,110–40,506 | 0.0568 | 0.1749 |
Share of confirmed infections aged 80+ prior to lockdown | 4.4466 | 2.1463 |
80+ mortality rate (per 1000 inhabitants), 2017 | 0.2066 | 0.091 |
Share of respiratory disease-related deaths, 2016 | 0.9538 | 3.7197 |
Hospital beds per 1000 inhabitants | −0.0329 | 0.0184 |
Initial growth trend for confirmed cases in log points: 0–0.14 | −0.1188 | 0.1852 |
Initial growth trend for confirmed cases in log points: 0.14–0.21 | −0.089 | 0.1407 |
Initial growth trend for confirmed cases in log points: 0.21–0.28 | −0.0369 | 0.136 |
Confirmed infections per 10,000 inhabitants on epidemic day 4 | 0.2556 | 0.0805 |
Recommendation against events with > 1000 visitors | 0.1594 | 0.0985 |
Ban of events with > 1000 visitors | 0.7132 | 0.141 |
Curfew | 0.2403 | 0.1111 |