Table 2.
City | IHA Test | Kato-Katz Test | ||||
---|---|---|---|---|---|---|
Detected Numbers | Positive Number | seroprevalence a | Detected Numbers | Positive Number | Prevalence of infection b | |
Caidian [1] | 964 | 13 | 1.3 | 13 | 3 | 0.3 |
Chibi [2] | 1,002 | 145 | 8.7 | 138 | 12 | 2.1 |
Gongan [3] | 5,657 | 56 | 15.8 | 42 | 4 | 1.1 |
Hanchuan [4] | 5,193 | 413 | 8.0 | 385 | 51 | 1.0 |
Honghu [5] | 6,408 | 124 | 9.3 | 80 | 9 | 1.2 |
Jiayu [6] | 1,592 | 894 | 5.2 | 880 | 63 | 1.1 |
Jiangling [7] | 2,449 | 248 | 10.1 | 235 | 32 | 1.4 |
Jingzhou [8] | 1,562 | 395 | 8.0 | 362 | 40 | 0.9 |
Qianjiang [9] | 5,019 | 596 | 8.1 | 555 | 71 | 0.8 |
Shishou [10] | 3,115 | 266 | 12.7 | 175 | 31 | 1.4 |
Songzi [11] | 3,041 | 83 | 8.7 | 81 | 17 | 1.6 |
Xiantao [12] | 6,823 | 87 | 2.7 | 38 | 9 | 0.8 |
Xiaonan [13] | 915 | 182 | 6.1 | 177 | 51 | 0.5 |
Yangxin [14] | 3,723 | 408 | 3.9 | 371 | 38 | 0.3 |
Total | 47,463 | 3,912 | 8.2 | 3,532 | 432 | 1.0 |
a seroprevalence = (positive number of IHA /detected number of IHA); b prevalence = (positive number of IHA /detected number of IHA) × (positive number of Kato-Katz/ detected number of Kato-Katz test).