Table.
Characteristics of cases with Australian-acquired SARS-COV-2 infection in NSW by COVIDSafe app use, May 4 to Nov 4, 2020
| Cases using the app*(n=137) | Cases not using the app*(n=482) | p value | ||
|---|---|---|---|---|
| Sex | .. | .. | 0·82 | |
| Female | 71 (52%) | 255 (53%) | .. | |
| Male | 66 (48%) | 227 (47%) | .. | |
| Age, years | 38 (22–56) | 40 (22–57) | 0·64 | |
| Remoteness of local health district of residence | .. | .. | 0·10 | |
| Major city local health districts | 133 (98%) | 453 (94%) | .. | |
| Regional local health districts | 3 (2%) | 27 (6%) | .. | |
| Postcode-level index of relative social disadvantage† | .. | .. | 0·0012 | |
| Least disadvantaged | 71 (52%) | 162 (34%) | .. | |
| Less disadvantaged | 40 (29%) | 128 (27%) | .. | |
| Most disadvantaged | 26 (19%) | 191 (39%) | .. | |
| Country of birth | .. | .. | 0·026 | |
| Australia | 76 (55%) | 209 (43%) | .. | |
| Overseas | 49 (36%) | 234 (49%) | .. | |
| Not stated | 12 (9%) | 39 (8%) | .. | |
| Likely source of infection | .. | .. | 0·0050 | |
| Household contact | 33 (24%) | 170 (35%) | .. | |
| Other contact or cluster-associated | 93 (68%) | 246 (51%) | .. | |
| Source not determined | 9 (7%) | 45 (9%) | .. | |
| Interstate acquired | 2 (1%) | 20 (4%) | .. | |
| Median number of close contacts‡ | 5 (0–121) | 2 (0–196) | 0·0014 | |
Data are n (%) or median (IQR).
*
Excluding missing values.
†
Based on the Australian Bureau of Statistics' Index of Relative Socioeconomic Disadvantage data.
‡
For the period Aug 1 to Nov 4, 2020 only, when linkage between cases and contacts was of sufficient quality to report estimates.