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Table 1 Spatial parameters OLS and GAM with all variables considered as non-linear

From: Bayesian spatio-temporal analysis of malaria prevalence in children between 2 and 10 years of age in Gabon

Model

Parameter

Spatio-temporal OLS model

GAM model with non-linear variables

Mean (SD)

95% CI

Mean (SD)

95% CI

M1

Error

0.000064 (0.0000077)

(0.00005,0.00008)

0.00053 (0.000064)

0.00042;0.00067

Spatial variance

0.17 (0.036)

(0.11,0.25)

11 (2.2)

7;16

Range

333 (35)

(270,406)

332 (31)

276;396

Time coefficient (a)

0.97 (0.0044)

(0.96,0.98)

0.99 (0.0016)

0.98;0.99

M2

Error

0.000026 (0.0000045)

(0.000018,0.000036)

0.00047 (0.000062)

0.00036;0.0006

Spatial variance

0.055 (0.01)

(0.038,0.077)

8.1 (1.7)

5.2;12

Range

154 (15)

(128,185)

278 (27)

229;336

Time coefficient (a)

0.97 (0.0044)

(0.96,0.98)

0.99 (0.0015)

0.99;0.99

M3

Error

0.000071 (0.000012)

(0.00005,0.000095)

0.0006 (0.000082)

0.00045;0.00077

Spatial variance

0.021 (0.0053)

(0.012,0.033)

10 (2.3)

6.4;15

Range

153 (21)

(114,197)

342 (36)

279;422

Time coefficient (a)

0.93 (0.014)

(0.89,0.95)

0.99 (0.0018)

0.98;0.99

M4

Error

0.000023 (0.0000043)

(0.000016,0.000032)

0.00053 (0.000073)

0.0004;0.00068

Spatial variance

0.044 (0.011)

(0.026,0.068)

8 (1.9)

4.9;12

Range

142 (17)

(111,176)

290 (33)

230;360

Time coefficient (a)

0.96 (0.0062)

(0.95,0.97)

0.99 (0.0016)

0.98;0.99

  1. *GAM Geo-additive Model; OLS Ordinary Least Squared