Table 2. Factors influencing amount of virus shed in rural coastal Kenya during the 2009/2010 RSV season: Multiple linear regression analysis.
| Factors | Categories | Beta a (log 10 RNA copies) | 95% CI | P-value |
|---|---|---|---|---|
|
Primary cases:
Age in years |
<1y | Ref * | ||
| 1-<5y | -0.21 | -18.4, 17.9 | 0.594 | |
| 5-<15y | -7.3 | -23.0, 8.4 | ||
| 15-<40y | -12.7 | -30.7, 5.2 | ||
| > = 40y | -9.4 | -39.3, 20.5 | ||
|
Secondary cases:
Age in years |
<1y | Ref * | ||
| 1-<5y | -41.6 | -53.7, -29.6 | <0.001 | |
| 15-<15y | -43.1 | -55.5, -30.7 | ||
| 15-<40y | -50.6 | -64.9, -36.3 | ||
| >=40y | -29.4 | -50.8, -8.1 | ||
| Symptomatic | No | Ref * | ||
| Yes | 14.1 | 6.3, 21.9 | <0.001 | |
|
Order of infection
in individual |
First | Ref * | ||
| Subsequent | -10.4 | -20.0, -0.8 | 0.03 | |
| RSV group | RSV A | Ref * | 0.012 | |
| RSV B | 3.7 | -3.1, 10.5 | ||
| Co-infection | 21.3 | 7.3, 35.3 | ||
| Sex | Female | Ref * | 0.287 | |
| Male | -4.0 | -10.2, 3.0 |
aDifference in mean AUC in comparison to reference category using midpoint estimates. *Reference category.