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Table 2 Results including the coefficients and 95% Confidence Intervals (CIs) of the interrupted time series analyses

From: Impact of national-scale targeted point-of-care symptomatic lateral flow testing on trends in COVID-19 infections, hospitalisations and deaths during the second epidemic wave in Austria (REAP3)

 

Parameters of PCRb positivity model

model (\({\varvec{\beta}}\), 95%CI)

Parameters of hospitalizations model

model (\({\varvec{\beta}}\), 95%CI)

highc

8.5

[0.64; 16.3]

0.53

[-0.26; 1.33]

td

2.35***

[2.0; 2.7]

0.12***

[0.07; 0.17]

high_t

2.24***

[1.4; 3.1]

0.10+

[0.02; 0.18]

poste

88.3***

[68.4; 108.2]

3.06**

[1.05; 5.08]

post_high

52.0**

[21.9; 82.1]

4.02**

[1.13; 6.9]

post_t

-4.03***

[-4.7; -3.3]

-0.15***

[-0.23; -0.07]

post_high_t

-3.60***

[-4.8; -2.3]

-0.20**

[-0.32; -0.08]

c

20.05***

[15.9; 24.2]

1.03***

[0.47; 1.58]

  1. ***p < 0.001
  2. **p < 0.05
  3. *p < 0.10
  4. +p < 0.15
  5. aCoefficients [and 95% CI] of the interrupted time series analyses: The dependent variable is the weekly rolling average of polymerase chain reaction (PCR)
  6. bpositive cases (2nd column) and the weekly rolling average of hospital admissions (3rd column) across districts with different point-of-care lateral flow antigen tests (POCLFT) use
  7. chigh: dummy variable indicating districts with high point-of-care lateral flow antigen tests (POCLFT) use
  8. dt: time variable (days)
  9. epost: dummy variable indicating the time period (in days) after the peak of the 2nd epidemic wave