Spatio-temporal distribution of soil-transmitted helminth infections in Brazil

Parasites & Vectors

Table 2 Variables selected by a Bayesian variable selection approach applied within the geostatistical logistic regression model

	*A. lumbricoides* infection	*T. trichiura* infection	Hookworm infection
Group 1
Yearly mean temperature^a	0	0	0
Maximum temperature of warmest month^a	0	0	0
Minimum temperature of coldest month^a	0	0	0
Mean temperature of wettest quarter	0	0	0
Mean temperature of driest quarter	0	0	0
Mean temperature of warmest quarter^a	x	0	x
Mean temperature of coldest quarter^a	0	x	0
Group 2
Mean diurnal temperature range^b	x	0	0
Yearly temperature range^a,b	0	x	x
Group 3
Isothermality	x	x	0
Temperature seasonality	0	0	x
Group 4
Yearly precipitation^a	x	0	0
Precipitation in wettest month	0	0	0
Precipitation in wettest quarter^a	0	x	x
Group 5
Precipitation in driest month^a,c	0	x	0
Precipitation in driest quarter^c	x	0	x
Moderately correlated
Precipitation seasonality	x	x	x
Precipitation in warmest quarter^b	x	x	x
Precipitation in coldest quarter^b,c	x	x	x
Altitude	x	0	x
Soil moisture^a,b,c	x	0	x
Soil pH^b,c	x	x	x
Human development index (HDI)	x	x	x
Human influence index^b (HII)	0	x	0
Rural households^b,c	0	x	0
Improved sanitation	0	0	0
Improved water supply^a,b,c	0	0	0
Improved waste collection^b	0	0	0
Poor households	x	x	0
Survey period	Fixed	Fixed	Fixed
Posterior probability (%)	44.8	93.5	25.3

^aCategorised for T. trichiura.
^bCategorised for hookworm.
^cCategorised for A. lumbricoides.
x (selected), 0 (not selected).
The best model selected by the geostatistical variable selections is presented for each soil-transmitted helminth species, together with its posterior probability.

ISSN: 1756-3305