Table 1.
Basic information of the studies included in the meta-analysis
First author | Publication year | Country | Location | Sample size | No. positive | Seroprevalence rate (%) | Assay method | Positive threshold | Age range | Group factors | AHRQ scores |
---|---|---|---|---|---|---|---|---|---|---|---|
Cheng [14] | 2016 | China | Jiangsu | 420 | 125 | 29.76 | NTA | 1:8 | 0–15 yrs | Age, gender | 8 |
Han [15] | 2014 | China | Shandong | 1000 | 786 | 78.60 | ELISA | OD450 | 0–31 yrs | Age, gender | 8 |
Mao [16] | 2009 | China | Henan | 337 | 123 | 36.50 | NTA | 1:8 | 7–30 mons | Age | 7 |
Song [17] | 2020 | China | Tianjin | 171 | 107 | 62.57 | NTA | 1:8 | 0–35 yrs | Age, gender | 7 |
Ang [18] | 2015 | Singapore | Singapore | 700 | 424 | 60.57 | NTA | 1:8 | 1–17 yrs | Age, gender, ethnic | 9 |
Zhu [19] | 2012 | China | Jiangsu | 1530 | 1024 | 66.93 | NTA | 1:8 | all ages | Age | 7 |
Lerdsamran [20] | 2018 | Thailand | Thailand | 696 | 438 | 62.93 | NTA | 1:8 | 6–18 yrs | Age, gender | 8 |
Rabenau [21] | 2010 | Germany | Germany | 1378 | 989 | 71.77 | NTA | 1:8 | all ages | Age, gender | 8 |
Wang [22] | 2016 | China | Shandong | 391 | 230 | 58.82 | NTA | 1:8 | all ages | Age, gender | 9 |
Wang [23] | 2014 | China | Jiangsu | 715 | 400 | 55.94 | NTA | 1:8 | 20–50 yrs | Age, gender | 9 |
Li [24] | 2013 | China | Guangdong | 900 | 390 | 43.33 | NTA | 1:8 | 1–9 yrs | Age, gender | 9 |
Zhu [25] | 2010 | China | Mixed | 515 | 128 | 24.85 | NTA | 1:8 | 1–5 yrs | Age | 8 |
Zhu [26] | 2018 | China | Fujian | 230 | 176 | 76.52 | NTA | 1:8 | all ages | Age, gender | 8 |
Li [27] | 2017 | China | Tianjin | 420 | 125 | 29.76 | NTA | 1:8 | all ages | Age, gender | 8 |