TABLE 2—
Detection of Symptoms in Network Chains of Seeds in the ASeedRec Sample: The Netherlands, 2014
| Seedsa (A) |
Recruits by Seeds With Symptoms (B) |
Recruits by Seeds Without Symptoms (C) |
Pb |
||||||
| Symptom Category, No. (%) | Seeds With Symptoms | Seeds Without Symptoms | Recruits With Symptoms | Recruits Without Symptoms | Recruits With Symptoms | Recruits Without Symptoms | A vs B | A vs C | B vs C |
| One or more symptoms | 71 (43.0) | 94 (57.0) | 109 (69.0) | 49 (31.0) | 118 (52.0) | 109 (48.0) | < .001 | .099 | .001 |
| Common cold symptoms | 16 (9.7) | 149 (90.3) | 4 (16.7) | 20 (83.3) | 21 (5.8) | 340 (94.2) | .292 | .14 | .061 |
| Fever | 12 (7.3) | 153 (92.7) | 4 (18.2) | 18 (81.8) | 14 (3.9) | 349 (96.1) | .101 | .143 | .015 |
| Influenza-like illness | 8 (4.8) | 157 (95.2) | 0 (0.0) | 12 (100.0) | 1 (0.3) | 372 (99.7) | > .999 | < .001 | > .999 |
a
Only successful seeds (n = 165) were considered in this analysis (seeds who invited a recruit who also completed the survey). Recruits in waves 1–6 were lumped together (n = 385).
b
We used the 2-sample χ2 test for equality of proportions with continuity correction to estimate P values. The Fisher exact test was used for contingency tables containing small values (n < 10).