Table 2. Coefficients (exponents in parentheses) of the Poisson regression analysis of number of deaths, number of families affected, and number of animals lost on mean years of schooling of 15 to 39-years-old and other variables.

Response Variable (Number of) Models Constant Mean year of Schooling of aged 15 to 39 Percentage Permanent Housing Village Vulnerability Residual Deviance
    Nepal
Deaths Model1 -5.16(0.01)*** -0.72(0.49)*** 6696
  Model2 -5.25(0.01)*** -0.76(0.47)*** 0.01(1.01)*** 6654
  Model3 -4.92(0.01)*** -0.55(0.58)*** 0(1)*** -0.29(0.75)*** 6183
Affected Families Model1 -0.79(0.46)*** -0.8(0.45)*** 1173
Model2 -0.68(0.51)*** -0.64(0.53)*** -0.03(0.97)*** 1128
  Model3 -0.53(0.59)*** -0.45(0.64)*** -0.03(0.97)*** -0.21(0.81)*** 1020
Animal Loss Model1 -4.06(0.02)*** -0.63(0.53)*** 5301
  Model2 -4.01(0.02)*** -0.56(0.57)*** -0.01(0.99)*** 5301
  Model3 -3.71(0.02)*** -0.35(0.7)*** -0.01(0.99)*** -0.28(0.76)*** 4766
             

Terai
Deaths Model1 -5.81(0)*** -0.75(0.47)*** 275621
  Model2 -5.51(0)*** -1.11(0.33)*** 0.04(1.04)*** 255045
  Model3 -5.02(0.01)*** -0.88(0.41)*** 0.04(1.04)*** -0.46(0.63)*** 234551
Affected Families Model1 -0.03(0.97)*** -0.82(0.44)*** 165379
Model2 -0.32(0.73)*** -0.53(0.59)*** -0.04(0.96)*** 155976
  Model3 -0.11(0.9)*** -0.49(0.61)*** -0.04(0.96)*** -0.14(0.87)*** 153260
Animal Loss Model1 -5.29(0.01)*** -0.32(0.72)*** 66830
  Model2 -5.65(0)*** -0.09(0.91)*** -0.02(0.98)*** 66278
  Model3 -5.28(0.01)*** -0.07(0.93)*** -0.02(0.98)*** -0.19(0.83)*** 59529
             

Hills and Mountains
Deaths Model1 -4.87(0.01)*** -0.72(0.49)*** 34586
  Model2 -4.88(0.01)*** -0.72(0.49)*** 0(1)ns 34268
  Model3 -4.52(0.01)*** -0.46(0.63)*** -0.01(0.99)*** -0.28(0.75)*** 32162
Affected Families Model1 -2.17(0.11)*** -0.67(0.51)*** 14229
Model2 -2.05(0.13)*** -0.64(0.53)*** -0.01(0.99)*** 14055
  Model3 -1.81(0.16)*** -0.41(0.67)*** -0.01(0.99)*** -0.2(0.82)*** 13852
Animal Loss Model1 -3.37(0.03)*** -0.84(0.43)*** 19564
  Model2 -3.1(0.05)*** -0.79(0.45)*** -0.01(0.99)*** 19154
  Model3 -2.87(0.06)*** -0.47(0.62)*** -0.02(0.98)*** -0.31(0.73)*** 17317
Model 1 Response Variable = MYS + Offset(log(population))
Model 2 Response Variable = MYS + Prop.Perm.Housing + Offset(log(population))
Model 3 Response Variable = MYS + Prop.Perm.Housing + Village.Vulnerability + Offset(log(population))
ns > = 0.05; * < 0.05; ** < 0.01; *** < 0.001