Table 1.
Comparison of types of clustering across study year and key socio-demographic characteristics.
| Non-Clustered (Neither Geospatially nor Genotypically clustered) |
Geospatially clustered only |
Genotypically clustered only |
Recent, local Transmission (Geospatially AND Genotypically clustered) |
||
|---|---|---|---|---|---|
| N (%) | N (%) | N (%) | N (%) | P-value | |
| Total Sampled | 559 (45) | 199 (16) | 253 (20) | 224 (18) | |
| Gender | |||||
| Male | 318 (43) | 108 (15) | 160 (22) | 148(20) | 0.02 |
| Female | 241 (48) | 91 (18) | 93 (19) | 75 (15) | |
| Race/Ethnicity | |||||
| Non-Hispanic White | 182 (64) | 29 (10) | 55 (19) | 19 (7) | <0.0001 |
| Non-Hispanic Black | 124 (25) | 95 (19) | 104 (21) | 173 (35) | |
| Asian | 179 (59) | 47 (15) | 60 (20) | 18 (6) | |
| Hispanic | 62 (51) | 23 (19) | 25 (20) | 12 (10) | |
| Other | 12 (43) | 5 (18) | 9 (32) | 2 (7) | |
| Nativity | |||||
| U.S.-born | 235 (35) | 91 (13) | 166 (24) | 188 (28) | <0.0001 |
| Foreign-born | 324 (59) | 108 (20) | 86 (16) | 35 (6) |
P-value corresponds to a chi-square test examining whether the distribution of cluster type differs by each socio-demographic variable. The proportions reflect row proportions.
Example: Males are more likely to be non-clustered (43%) compared to geospatially clustered alone (15%).