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. 2018 Oct 15;8:15238. doi: 10.1038/s41598-018-33724-0

Table 3.

Parameter distribution characteristics by genotype.

GII.2 GII.4 GII.17 P
Schools involved
  Number of schools involved (n = 49) 14 (28.0%) 26 (52.0%) 9 (18.0%) <0.001
  Middle school (n = 4) 1 (25.0%) 2 (50.0%) 1 (25.0%) 1.000
  Primary school (n = 22) 4 (18.2%) 14 (63.6%) 4 (18.2%) 0.326
  Kindergarten school (n = 23) 9 (39.1%) 10 (43.5%) 4 (17.4%) 0.347
Basic characteristics of the epidemics
  Total student cases (n = 782) 225 (28.8%) 396 (50.6%) 161 (20.6%) <0.001
  Total employee cases (n = 9) 3 (33.3%) 4 (44.4%) 2 (22.2%) 0.716
  Male cases (n = 412) 107 (46.9%) 217 (54.3%) 88 (54.0%) 0.181
  Female cases (n = 379) 121 (53.1%) 183 (45.7%) 75 (46.0%)
  Interval between the first and last cases in days 4.0 ± 2.6 3.4 ± 1.6 2.9 ± 1.7 0.425
  Month of outbreaks 10 (8, 12) 4 (3, 5) 3 (3, 5) /
Primary symptoms
  Cases with vomiting (n = 751) 202 (88.6%) 389 (97.3%) 160 (98.2%) <0.001
  Cases with nausea (n = 376) 100 (43.9%) 156 (39.0%) 120 (73.6%) <0.001
  Cases with abdominal pain (n = 210) 52 (22.8%) 105 (26.3%) 53 (32.5%) 0.099
  Cases with fever (n = 130) 34 (14.9%) 66 (16.5%) 30 (18.4%) 0.655
  Cases with diarrhoea (n = 79) 23 (10.1%) 39 (9.8%) 17 (10.4%) 0.969

Categorical data are presented as frequencies with percentages; the intervals between the first and last cases are presented as the mean ± standard deviation; months of outbreaks are presented as the median (upper and lower quartiles). For categorical data, differences among groups were examined using the chi-square test or Fisher’s exact probability test when n ≤ 300. For continuous data, one-way ANOVA was used to determine differences among groups.

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