Table 1 Estimation results of k, \({C}_{Z}\) and proportion of upper clusters ranked by size responsible for 80% of all new infections based on cluster ascertainment model

From: Investigating setting-specific superspreading potential and generation intervals of COVID-19 in Hong Kong

Transmission setting

Proposed \({q}_{2}\)a

Dispersion k (95% CIb)

Expected number of new infections per cluster \({C}_{Z}\) (95%CI)

Prop_80%c (95% CI)

All settings

0.8

0.56 (0.51, 0.61)

1.29 (1.21, 1.37)

25.92% (24.82%, 26.96%)

Households

0.9

1.11 (0.94, 1.28)

1.00 (0.94, 1.05)

30.98% (29.38%, 32.29%)

Restaurants

0.8

0.52 (0.36, 0.68)

1.47 (1.14, 1.81)

26.01% (21.43%, 29.53%)

Care homes

0.7

0.09 (0.03, 0.16)

6.17 (0, 20.81)

9.12% (3.00%, 13.68%)

Nosocomial

0.9

0.29 (0.1, 0.48)

1.28 (0.52, 2.03)

18.65% (8.77%, 24.81%)

Manual labour work

0.8

0.13 (0.08, 0.17)

1.04 (0.60, 1.49)

10.42% (7.13%, 13.17%)

Office work

0.9

0.34 (0.14, 0.55)

0.38 (0.26, 0.50)

14.93% (9.03%, 18.29%)

Close-social indoor activities

0.5

0.10 (0.05, 0.16)

7.09 (1.18, 13.00)

9.82% (4.99%, 13.95%)

Retail and leisure activities

0.7

0.05 (0.01, 0.09)

0.58 (0, 1.17)

4.57% (0.20%, 7.40%)

  1. a: \({q}_{2}\) stands for the probability of cluster member being successfully traced to the related cluster.
  2. b: CI stands for confidence interval.
  3. c: Prop_80% stands for the proportion of top clusters ranked by size in descending order that accounts for 80% of all new infections.
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