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Table 3 Results of the classical panel data models for the log of TB incidence with meteorological factors of a 3-month lag

From: Spatial transmission and meteorological determinants of tuberculosis incidence in Qinghai Province, China: a spatial clustering panel analysis

Factors Simple linear regression Fixed effects model Random effects model
Coefficient t-value P-value Coefficient t-value P-value Coefficient t-value P-value
Constant 1.0097 10.42 <0.0001     1.0367 12.27 <0.0001
MAT (°C) -0.0195 -10.03 <0.0001 -0.0059 -4.96 <0.0001 -0.0060 -5.12 <0.0001
MP (mm) 0.0024 5.07 <0.0001 -0.0008 -2.77 0.0060 -0.0007 -2.63 0.0090
MSH (hours) -0.0011 -2.56 0.0110 -0.0003 -1.10 0.2720 -0.0003 -1.14 0.2570
MAWS (m/s) 0.1441 5.94 <0.0001 0.0320 1.93 0.0550 0.0339 2.05 0.0410
Log likelihood 1.92    328.57      
AIC 0.01    -1.32      
SC 0.06    -1.21      
F-statistic 193.90   <0.0001       
H-statistic        10.41   0.0340
LM lag 14.14   <0.0001 39.40   <0.0001    
Robust LM lag 161.22   <0.0001 21.00   <0.0001    
LM error 34.13   <0.0001 35.93   <0.0001    
Robust LM error 181.21   <0.0001 17.54   <0.0001    
Moran’s I 0.20 6.07 <0.0001 0.20 6.20 <0.0001    
  1. TB tuberculosis, MAT monthly average temperature, MP monthly precipitation, MSH monthly total sunshine hours, MAWS monthly average wind speed, AIC Akaike information criterion, SC Schwarz Criterion, H-statistic Hausman-statistic, LM Lagrange multiplier
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Infectious Diseases of Poverty

ISSN: 2049-9957

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