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Table 1 Posterior estimates of zero inflated geostatistical density models

From: Spatial and temporal dynamics of malaria transmission in rural Western Kenya

Covariates

Bivariate non-spatial

Spatiotemporal model

Mean (95 % CI)

Median (95 % CI)

Intercept

-

4.634 (0.005,7.098)

Distance to water body

−0.003 (−0.006,0.001)

−0.007 (−0.013,-0.002)

Elevation

0.002 (−0.001,0.003)

−0.008 (−0.041,0.020)

Rainfall ***

0.006 (0.005,0.008)

0.040 (−0.041,0.113)

NDVI*

4.837 (3.589,6.086)

4.170 (1.308,6.725)

LSTD**

−0.139 (−0.182,-0.096)

−0.246 (−0.3752,-0.153)

LSTN*

−0.010 (−0.065,0.085)

0.124 (−0.031,0.234)

Year2

−0.276 (−0.538,-0.013)

0.242 (−0.356,0.852)

Year3

−0.404 (−0.673,-0.135)

0.441 (−0.244,1.122)

Cosine

0.642 (0.477,0.807)

1.75 (0.570,2.913)

Sine

0.533 (0.364,0.701)

0.522 (−0.597,1.590)

Amplitude

-

1.922 (0.941,3.016)

Shift/phase

-

0.280 (−0.291,1.033)

Over dispersion value

-

0.705 (0.502,1.135)

Spatial Variation

-

0.874 (0.516,1.417)

Temporal variation

-

0.322 (0.140,0.898)

Range(3/(Ρ)a

-

3.039 (1.337,6.482)

Zero-Inflated proportion

-

0.074 (0.004,0.200)

  1. a: minimum distance in kilometers at which spatial correlation is significant at 5 %,*: environmental average value of the current month of mosquito collection, **: environmental average value of the current and previous month of mosquito collection, ***: environmental total value of the current and two previous month of mosquito collection.