Skip to main content

Table 1 Descriptive statistics for meteorological variables and dependent variables (Y)

From: Different effects of meteorological factors on hand, foot and mouth disease in various climates: a spatial panel data model analysis

variables G1 (172 regions) G2 (127 regions) G3 (34 regions) G4 (20 regions)
Mean(SD) Median (interquartile range) Mean(SD) Median (interquartile range) Mean(SD) Median (interquartile range) Mean(SD) Median (interquartile range)
Y −4.36(0.71) −4.28(−4.77,-3.85) −4.65(0.83) −4.52(−5.17,-4.03) −5.02(1.00) −4.88(−5.74,-4.23) −5.34(0.71) −5.52(−5.89,-4.89)
AAP 974.27(63.13) 999.80(969.60,1009.70) 972.14(57.44) 996.50(956.05,1009.50) 895.15(53.07) 889.65(858.90,933.03) 695.40(87.98) 685.25(625.55,729.80)
AT 18.83(7.74) 20.15(12.70,25.40) 11.28(11.83) 14.00(2.35,21.3) 8.99(12.90) 11.30(−2.30,20.30) 5.83(8.74) 7.00(−0.68,12.80)
AVP 17.62(7.95) 17.00(10.50,24.60) 10.92(7.79) 9.10(4.10,17.00) 6.44(4.33) 5.50(2.60,9.90) 5.85(4.50) 4.80(2.10,8.48)
ARH 74.22(8.35) 75.00(70.00,80.00) 63.18(12.93) 64.00(54.00,73.00) 48.93(14.04) 48.00(38.00,59.00) 53.05(17.99) 56.00(39.00,67.00)
MP 115.57(116.65) 83.60(33.20,161.68) 55.37(68.67) 30.70(9.00,77.30) 17.38(26.82) 6.95(1.10,22.13) 46.20(64.02) 23.95(2.5,71.08)
AWS 1.94(0.86) 1.80(1.30,2.30) 2.24(0.91) 2.10(1.70,2.60) 2.24(0.78) 2.10(1.70,2.70) 1.87(0.82) 1.70(1.30,2.20)
MSH 139.12(60.42) 136.90(95.10,182.80) 189.24(51.18) 190.20(155.20,224.70) 246.24(59.85) 250.80(209.38,290.75) 212.39(55.90) 217.55(183.95,248.83)
MTD 7.92(2.14) 7.70(6.60,9.00) 10.38(2.39) 10.30(8.60,11.90) 12.88(2.42) 12.90(11.40,14.40) 13.43(3.07) 13.50(11.60,15.48)
RD 11.57(5.38) 11.00(8.00,15.75) 7.33(4.48) 7.00(4.00,10.00) 4.95(4.08) 4.00(2.00,7.00) 10.47(7.97) 9.00(3.00,17.00)
ATD 0.47(1.36) 0.50(−0.30,1.2) 0.37(1.49) 0.40(−0.40,1.30) 0.70(1.78) 0.90(−0.20,1.90) 0.96(1.20) 0.95(0.30,1.70)