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Table 4 The parameter estimation with 95% CI for spatial and temporal models to explain CIAF

From: Space–time dynamics regression models to assess variations of composite index for anthropometric failure across the administrative zones in Ethiopia

characteristics

SDM

SAR

SEM

GNS

% children with breast feeding

-0.60 (-1.08, -0.11)

-0.22 (-0.50,0.06)

-0.25 (-0.52, 0.02)

-0.45 (-0.66, -0.25)***

% children without comorbidity

-0.62 (-1.13, -0.11)

-0.11 (-0.35,0.13)

-0.14 (-0.37, 0.09)

-0.53 (-0.74, -0.32)**

%dds minimum and above

-0.41 (-1.17, 0.35)

-0.43 (-0.74,-0.12)*

-0.50 (-0.81, -0.19)**

-0.13 (-0.46, -0.20)**

% children was not vitamin A

-0.31 (-0.76, 0.13)

0.05 (-0.19,0.30)

0.05 (-0.19, 0.28)

-0.63 (-0.84, -0.41)**

% women with illiteracy

0.54 (-0.06, 1.15)

0.28 (0.03,0.52)*

0.30 (0.06, 0.54)*

0.43 (0.17, 0.68)***

% father with literacy

-0.09 (-0.92, 0.74)

0.02 (-0.21,0.25)

0.00 (-0.23, 0.23)

0.04 (-0.30, 0.39)

%authonomy (low autonomy)

0.11 (-0.26, 0.49)

-0.05 (-0.25,0.14)

-0.05 (-0.24, 0.14)

0.29 (0.12, 0.45)*

% not access sanitation facilities

0.23 (-0.12, 0.57)

-0.11 (-0.30,0.07)

-0.11(-0.30, 0.07)

0.32 (0.18, 0.47)**

% no access to safe water

0.11 (-0.13, 0.35)

0.09 (-0.04,0.21)

0.11 (-0.02, 0.24)

0.20 (0.09, 0.30)*

% of women’s bmi > 18.5 kg/m2

-0.12 (-0.90, 0.65)

-0.29 (-0.64,0.05)

-0.30 (-0.63, 0.04)

-0.52 (-0.87, -0.17)*

media

0.11 (-0.52, 0.73)

-0.28 (-0.50,-0.05)**

-0.29 (-0.51, -0.07)*

-0.14 (-0.42, 0.13)

% working women

0.24 (-0.31, 0.78)

0.17 (-0.04,0.37)

0.20 (0.00, 0.40)

0.57 (0.31, 0.82)**

wealth (rich and richest)

-0.27 (-0.47, -0.08)*

-0.19 (-0.30,-0.07)

-0.19 (-0.30, -0.08)**

-0.36 (-0.45, -0.27)***

precipitation

0.03 (0.00, 0.06)

0.01 (0.00,0.02)

0.01 (0.00, 0.02)

0.04 (0.03, 0.05)**

aridity

-0.06 (-0.16, 0.04)

-0.04 (-0.08,0.01)

-0.03 (-0.07, 0.01)

-0.11(-0.15, -0.07)**

evi

0.00 (0.00, 0.00)

0.00 (0.00,0.00)

0.00 (0.00, 0.00)

0.00 (0.00, 0.00)

eleviation

0.02 (-0.03, 0.06)

-0.01 (-0.02,0.01)

0.00 (-0.02, 0.02)

0.00 (-0.02, 0.02)

max

-0.02 (-0.16, 0.12)

-0.03 (-0.09,0.02)

-0.03 (-0.08, 0.03)

-0.10 (-0.16, -0.04)*

mint

0.03 (-0.08, 0.13)

0.04 (-0.01,0.08)

0.03 (-0.02, 0.07)

0.08 (0.04, 0.13)*

pet

-0.07 (-0.41, 0.28)

-0.18 (-0.39,0.03)

-0.19 (-0.39, 0.01)

0.01 (-0.14, 0.15)*

ur

-0.33 (-1.29, 0.63)

-0.27 (-0.64,0.11)

-0.32 (-0.69, 0.05)

0.49 (0.00, 0.98)

wetd

-0.14 (-0.28, 0.01)

-0.03 (-0.09,0.03)

-0.03 (-0.09, 0.03)

-0.16 (-0.22, -0.11)

intercept

1.05 (-1.64, 3.74)

2.04 (0.50,3.59)*

2.12 (0.62, 3.62)**

1.13 (0.02, 2.23)*

\(\rho\)

-0.23 (-0.73, 0.27)

0.04 (-0.02,0.09)

0.04 (-0.02, 0.09)

-0.01 (-0.23, 0.21)

\(\gamma\)

-0.24 (-0.46, -0.03)

-0.02 (-0.07,0.02)

-0.03 (-0.07, 0.02)

-0.20 (-0.29, -0.12)**

\(\lambda\)

  

-0.19 (-0.41, 0.02)

-1.65 (-2.24, -1.07)**

\(\phi\)

0.05 (-0.29, 0.39)

0.10 (-0.05,0.26)

0.10 (-0.05, 0.25)

0.21 (0.06, 0.36)*

AIC

-270.35

-175.20

-179.08

-409.33

R2 (adjusted)

76.43

66.09

67.89

96.01

N

72

72

72

72

  1. *, ** and *** Significant at 0.05, 0.01 and 0.001 level of significance