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Table 2 Model validation summary for the exchangeable (non-spatial) and geostatistical models of i) malaria and ii) filariasis parasitaemia risk

From: Bayesian geostatistical modelling of malaria and lymphatic filariasis infections in Uganda: predictors of risk and geographical patterns of co-endemicity

 

Age group

Malaria 95% BCI* (width)

Filariasis 95% BCI* (width)

Exchangeable models

   

   Linear

5-9 yrs

79% (0.60)**

87% (0.32)

 

10-14 yrs

86% (0.58)**

87% (0.35)

 

15-19 yrs

100% (0.56)**

87% (0.36)

   Categorical

5-9 yrs

79% (0.64)

87% (0.37)

 

10-14 yrs

86% (0.62)

87% (0.42)

 

15-19 yrs

100% (0.65)

93% (0.45)

Geostatistical models

   

   Linear

5-9 yrs

71% (0.61)

93% (0.15)**

 

10-14 yrs

86% (0.60)

93% (0.21)**

 

15-19 yrs

100% (0.58)

93% (0.26)**

   Categorical

5-9 yrs

71% (0.66)

87% (0.28)

 

10-14 yrs

86% (0.65)

87% (0.36)

 

15-19 yrs

100% (0.67)

93% (0.35)

  1. For each model, the table shows the percentage of test locations with observed prevalence falling within the 95% Bayesian credible intervals of the posterior predictive distribution and the corresponding BCI width.
  2. Linear and categorical refers to models with co-variates in either linear or categorized form.
  3. ** model with the highest percentage of test localities with observed prevalence falling within the 95% BCI and overall narrowest BCI width.
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Malaria Journal

ISSN: 1475-2875

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