Table 3.
Active cohort participants, August 2022
| Total | ||
| n | % | |
| Total | 651 | 100 |
| Age | ||
| 15–24 | 99 | 15.3 |
| 25–34 | 131 | 20.2 |
| 34–44 | 105 | 16.2 |
| 45–54 | 108 | 16.7 |
| 55–64 | 115 | 17.7 |
| 64 | 90 | 13.8 |
| Sex | ||
| Male | 166 | 25.5 |
| Female | 484 | 74.3 |
| Other | 1 | 0.2 |
| Aboriginal or Torres Strait Islander | ||
| Yes | 3 | 0.5 |
| No | 648 | 99.5 |
| Country of birth | ||
| Australia | 417 | 64.1 |
| Other | 234 | 35.9 |
| Language spoken at home | ||
| English | 532 | 81.7 |
| Language other than English (LOTE) | 119 | 18.3 |
| LOTE spoken at home (top 3) | 119 | |
| Arabic | 32 | 26.9 |
| Mandarin | 32 | 26.9 |
| Hindi or Urdu | 11 | 9.2 |
| Group 1 target population | ||
| Recent COVID-19 case | 9 | 1.4 |
| Close contact | 17 | 2.6 |
| Quarantine worker | 29 | 7.6 |
| Group 2 target population* | ||
| Pre-existing chronic health condition | 170 | 26.3 |
| Aged care worker | 31 | 4.8 |
| Healthcare worker | 117 | 18.1 |
| Regional Victoria | 116 | 18.0 |
| High-risk workplace† | 31 | 4.8 |
| Culturally and linguistically diverse recruited through bilingual data collectors‡ | 71 | 10.7 |
| Arabic | 33 | 47.1 |
| Chinese | 29 | 41.4 |
| Dinka | 8 | 11.4 |
| Young people | 93 | 14.7 |
| Recruitment layer | ||
| 0 | 372 | 57.1 |
| 1 | 171 | 26.3 |
| 2 | 105 | 16.1 |
| 3§ | 2 | 0.3 |
| 4§ | 1 | 0.2 |
*Based on screener survey. Categories are not mutually exclusive and percentage does not total 100%.
†Includes factory, distribution and meat work settings.
‡Based on reporting speaking a LOTE at home or identifying as Aboriginal and/or Torres Strait Islander.
§Individuals that are nominated by layer 2 or layer 3 participants and had already been recruited into the study, are classified as layer 3 and 4.