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Table 3 Parameter estimates of bivariate and Bayesian spatio-temporal logistic models for A. lumbricoides infection risk in Brazil

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

A. lumbricoides infection

Bivariate logistic

Spatio-temporal model

 

OR (95% CI)

OR (95% BCI)

Survey period

  

 1995-1999

1.00

1.00

 2000-2004

0.62 (0.56; 0.69)*

0.60 (0.51; 0.70)*

 2005-2009

0.40 (0.34; 0.47)*

0.34 (0.28; 0.40)*

 From 2010 onwards

0.24 (0.19; 0.30)*

0.14 (0.12; 0.17)*

Mean temperature of warmest quarter

1.91 (1.73; 2.12)*

0.98 (0.77; 1.24)

Mean diurnal temperature range

0.55 (0.50; 0.61)*

0.83 (0.73; 0.95)*

Isothermality

1.39 (1.25; 1.55)*

1.01 (0.90; 1.13)

Yearly precipitation

1.44 (1.32; 1.57)*

1.62 (1.43; 1.83)*

Precipitation in driest quarter (mm)

  

 <50

1.00

1.00

 50-95

1.04 (0.75; 1.46)

1.56 (1.27; 1.92)*

 ≥95

1.83 (1.34; 2.51)*

1.36 (1.01; 1.84)*

Precipitation seasonality

0.88 (0.79; 0.97)*

0.92 (0.82; 1.02)

Precipitation in warmest quarter

0.53 (0.47; 0.59)*

0.65 (0.55; 0.76)*

Precipitation in coldest quarter (mm)

  

 <80

1.00

1.00

 80-300

1.32 (0.98; 1.77)

0.65 (0.52; 0.81)*

 ≥300

4.21 (3.25; 5.45)*

0.92 (0.66; 1.30)

Altitude

0.49 (0.44; 0.55)*

0.82 (0.64; 1.06)

Soil moisture (%)

  

 <50

1.00

1.00

 50-80

1.52 (1.21; 1.91)*

1.16 (0.96; 1.40)

 ≥80

0.92 (0.69; 1.22)*

1.01 (0.77; 1.33)

Soil pH

  

 <5.35

1.00

1.00

 5.35-5.65

0.70 (0.54; 0.91)*

1.59 (1.36; 1.86)*

 ≥5.65

0.76 (0.59; 0.97)*

0.88 (0.74; 1.06)

Human development index (HDI)

0.62 (0.56; 0.69)*

1.29 (1.12; 1.49)*

Poor households

1.94 (0.68; 2.25)

1.81 (1.52; 2.15)*

  

Median (95% BCI)

Temporal autocorrelation

 

0.03 (-0.02; 0.07)

Spatial variance

 

5.07 (4.73; 5.31)

Spatial range (km)

 

30.2 (28.1; 35.2)

  1. With standard error clustered at location level.
  2. *Significant based on 95% CI or BCI.
  3. OR: odds ratio; 95% CI: lower and upper bound of a 95% confidence interval; 95% BCI: lower and upper bound of a 95% Bayesian credible interval.