Skip to main content
. 2023 Jan 7;168(2):37. doi: 10.1007/s00705-022-05642-0

Table 2.

Seroprevalence in different groups (CVA6)

Variable Ref (n) n Events Transformation method Seroprevalence (%) 95% CI (%) I2 (%) Heterogeneity
(P-value)
Begg’s
(P-value)
Egger’s
(P-value)
Total 8 2522 4079 Random-effects model 0.583 0.465, 0.702 98.6 <0.001 0.016 0.056
Age
<1 y 5 192 406 Freeman-Tukey double arcsine 0.43 0.24, 0.63 95.01 <0.001
1-3 y 4 269 582 Random-effects model 0.425 0.307, 0.542 88.1 <0.001
3-5 y 2 143 207 Random-effects model 0.686 0.490, 0.882 89.9 <0.001
<5 y 8 839 1564 Random-effects model 0.558 0.476, 0.640 90.4 <0.001
>5 y 6 1989 2760 Freeman-Tukey double arcsine 0.72 0.61, 0.82 97.74 <0.001
Gender
Female 3 415 759 Random-effects model 0.554 0.425, 0.683 91.7 <0.001
Male 3 334 627 Random-effects model 0.541 0.328, 0.754 96.5 <0.001
Sampling method
Physical examination 2 546 871 Fixed- effects model 0.627 0.595, 0.659 0.0 0.973
Random sampling 2 501 1003 Random-effects model 0.502 0.290, 0.715 98.0 <0.001
Conditional sampling 4 1475 2205 Random-effects model 0.595 0.421, 0.770 99.0 <0.001
Seasonality
Seasonal 4 362 868 Random-effects model 0.440 0.310, 0.571 93.7 <0.001
Non-seasonal 1 439 700 Random-effects model 0.627 0.591, 0.663 - -
Unknown 3 1721 2511 Freeman-Tukey double arcsine 0.69 0.52, 0.84 98.75 <0.001
Publication language
English 6 2341 3727 Random-effects model 0.599 0.465, 0.733 98.9 <0.001
Chinese 2 181 352 Random-effects model 0.517 0.305, 0.730 94.3 <0.001
Ethnicity
Chinese 5 757 1535 Random-effects model 0.491 0.383, 0.599 94.4 <0.001
Other 3 1765 2544 Freeman-Tukey double arcsine 0.68 0.51, 0.83 98.78 <0.001