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Table 3 Results of the geostatistical variable selection. Models selected with the highest model posterior probability are presented, together with posterior inclusion probability of each explored predictor

From: Bayesian risk profiling of soil-transmitted helminth infections and estimates of preventive chemotherapy for school-aged children in Côte d'Ivoire

 

Selected model with predictor posterior inclusion probability

Predictor

Hookworm

A. lumbricoides

T. trichiura

Day land surface temperature (LST)a,b,c

Not selected (27.6 %)

Not selected (33.0 %)

Not selected (40.6 %)

Night land surface temperature (LST)b,c

Not selected (12.9 %)

Not selected (23.1 %)

Not selected (23.9 %)

LST difference

Not selected (10.6 %)

Not selected (22.2 %)

Not selected (24.7 %)

Land covera,b,c

Not selected (18.2 %)

Not selected (16.3 %)

Not selected (31.3 %)

Normalized difference vegetation indexc

Not selected (8.1 %)

Not selected (10.8 %)

Not selected (34.2 %)

Rainfallc

Not selected (14.4 %)

Not selected (12.3 %)

Not selected (19.6 %)

Rainfall coefficient of variation (CV)

Not selected (7.1 %)

Not selected (17.1 %)

Selected (71.8 %)

Altitudeb,c

Not selected (23.6 %)

Not selected (42.5 %)

Not selected (39.4 %)

Soil acidity (pH)b

Not selected (7.4 %)

Selected (59.0 %)

Not selected (37.2 %)

Soil moisturea,c

Not selected (17.7 %)

Selected (90.8 %)

Not selected (22.5 %)

Ecological zonea,b,c

Not selected (17.4 %)

Not selected (30.3 %)

Not selected (24.7 %)

Rural/urban settinga

Selected (84.3 %)

Not selected (26.2 %)

Not selected (44.6 %)

Human influence index (HII)b,c

Not selected (25.3 %)

Not selected (36.1 %)

Not selected (32.7 %)

Improved sanitation

Not selected (23.5 %)

Not selected (23.1 %)

Not selected (19.1 %)

Improved drinking water

Not selected (7.1 %)

Not selected (21.9 %)

Not selected (29.6 %)

Model posterior probability

8.9 %

3.2 %

0.4 %

  1. aCategorised for hookworm; bCategorised for A. lumbricoides; cCategorised for T. trichiura