Table 2 Multivariate meta-regression models for meta-predictors.

From: Effects of meteorological factors on tuberculosis and potential modifiers in Zhejiang Province, China

Meta-predictor

Mean temperature

Relative humidity

Cochran Q test

Heterogeneity

Wald test

Cochran Q test

Heterogeneity

Wald test

Q

P

I2(%)

Stat

P

Q

P

I2(%)

Stat

P

Intercept-only model

44.13

0.046

32.03

64.40

0.009

37.88

Economic and demographic factors

 GDP per person

37.22

0.091

27.46

6.22

0.101

47.47

0.096

24.16

15.12

0.004*

 Population density

40.69

0.044

33.65

3.20

0.362

50.75

0.052

29.06

12.54

0.014*

 Resident population

41.80

0.034

35.40

2.69

0.442

59.37

0.008

39.37

2.47

0.650

 Urbanization rate

41.63

0.036

35.15

2.26

0.521

52.37

0.038

31.26

6.78

0.148

Medical resource

 Licensed physicians

41.35

0.038

34.70

2.87

0.412

57.13

0.014

36.98

2.79

0.594

 Hospital beds

41.57

0.036

35.04

2.71

0.438

56.37

0.017

36.13

3.37

0.498

Geographic dimension

 Latitude

40.19

0.049

32.82

2.53

0.469

46.85

0.106

23.16

16.67

0.002*

 Longitude

43.62

0.023

38.11

0.52

0.913

58.65

0.010

38.62

6.18

0.186

  1. GDP gross domestic product.
  2. *The numbers shown in bold mean statistically significant.