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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.