Table 3.
Independent variables | b | SE b | p |
---|---|---|---|
Vaccination rate | − 0.055 | 0.020 | 0.005* |
July | 0.132 | 0.870 | 0.879 |
August | 0.273 | 0.905 | 0.763 |
September | 0.200 | 0.941 | 0.832 |
Vaccination rate X July | 0.004 | 0.020 | 0.856 |
Vaccination rate X August | 0.000 | 0.020 | 0.996 |
Vaccination rate X September | 0.003 | 0.020 | 0.890 |
Incidence2020 | 0.230 | 0.084 | 0.006* |
Mask usage | 0.011 | 0.014 | 0.423 |
Testing frequency | 0.028 | 1.292 | 0.031* |
The dependent variable is COVID-19 incidence, z transformed by month. Each independent variable is expressed as a percentage, so their regression coefficients (b) can be interpreted as standard deviation changes in response to a 1% change in the independent variable. The exceptions are Incidence 2020, which is also z transformed into standard deviation units, and the month dummies which are coded as 1’s and 0’s. June was omitted as the reference. SE b is the standard error of the regression coefficient.
*represents significant p value < 0.05