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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.