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. 2021 Jun 17;15(6):e0009502. doi: 10.1371/journal.pntd.0009502

Table 3. Pooled prevalence of tuberculosis infection in dairy cattle in different provinces of China.

Province Region Study No. No. tested No. positive % (95% CI) Heterogeneity Univariate meta-regression
χ2 P I2 (%) P Coefficient (95% CI)
Beijing Northern China 5 26,120 69 1.5% (0.3–3.6) 224.98 < 0.01 98.2% < 0.001 0.199 (0.155 to 0.243)
Fujian Eastern China 1 111,003 273 0.3% (0.2–0.3) 0.00 < 0.01 --
Gansu Northwestern China 3 326,765 183 0.0% (0.0–0.0) 0.82 < 0.01 0.0%
Guangdong Southern China 1 2,993 0 0.0% (0.0–0.1) 0.00 < 0.01 --
Guangxi Southern China 4 29,379 285 2.2% (0.7–4.4) 226.36 < 0.01 98.7%
Guizhou Southwestern China 3 21,778 51 3.2% (0.1–9.7) 130.06 < 0.01 98.5%
Hebei Northern China 2 2,319 75 6.7% (0.2–20.3) 18.95 < 0.01 94.7%
Heilongjiang Northeastern China 2 1,277 34 2.8% (1.6–4.2) 1.72 < 0.01 41.9%
Henan Central China 2 13,257 207 2.7% (0.4–6.7) 30.57 < 0.01 96.7%
Hubei Central China 1 7,357 122 1.7% (1.4–2.0) 0.00 < 0.01 --
Hunan Central China 1 60 1 1.7% (0.0–7.0) 0.00 < 0.01 --
Inner Mongolia Northern China 2 4,590 229 5.0% (3.9–6.2) 3.42 < 0.01 70.8%
Jiangsu Eastern China 4 916,430 8,034 1.2% (0.9–1.6) 36.93 < 0.01 91.9%
Jiangxi Eastern China 1 418 4 1.0% (0.2–2.2) 0.00 < 0.01 --
Liaoning Northeastern China 1 2,005 33 1.7% (1.1–2.3) 0.00 < 0.01 --
Ningxia Northwestern China 3 3,809 137 3.2% (2.1–4.5) 5.85 < 0.01 65.8%
Qinghai Northwestern China 15 273,761 409 0.4% (0.2–0.6) 463.97 < 0.01 97.0%
Shaanxi Northwestern China 5 14,952 145 1.3% (0.5–2.5) 42.79 < 0.01 90.7%
Shandong Eastern China 5 4,435 615 10.4% (0.6–29.3) 970.11 < 0.01 99.6%
Shanghai Eastern China 6 83,459 356 3.9% (1.3–7.6) 676.09 < 0.01 99.3%
Sichuan Southwestern China 4 34,953 155 0.5% (0.1–1.2) 177.59 < 0.01 98.3%
Xinjiang Northwestern China 13 442,973 2,654 0.9% (0.7–1.3) 917.03 < 0.01 98.7%
Yunnan Southwestern China 5 42,019 225 1.6% (0.7–2.8) 142.03 < 0.01 97.2%
Zhejiang Eastern China 3 19,442 1,196 4.5% (2.4–7.2) 84.62 < 0.01 97.6%

a Correlation analysis: Joint analysis with prevalence of provinces of China; R2: Proportion of between-study variance explained; I2-res: Residual variation due to heterogeneity.