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Table 3 Results of geostatistical models predicting malaria parasite prevalence in children 1–59 months, Zambia 2006–2012

From: The relative contribution of climate variability and vector control coverage to changes in malaria parasite prevalence in Zambia 2006–2012

Predictor   Full model Prediction model
   OR 95 % BCI OR 95 % BCI
Age in years < 1 (ref)     
  1–2 1.85 (1.48–2.32)   
  2–3 3.20 (2.57–3.97)   
  3–4 3.14 (2.53–3.90)   
  4–5 3.98 (3.19–4.95)   
Wealth Poorest (ref)     
  Second 0.88 (0.74–1.04)   
  Third 0.76 (0.63–0.91)   
  Fourth 0.62 (0.50–0.77)   
  Richest 0.36 (0.24–0.52)   
Population size per km-sq < 1000     
  At least 1000 0.56 (0.35–0.89) 0.45 (0.28–0.72)
HH ITN ownership 0     
  ≥ 1 0.74 (0.64–0.86)   
Cluster ITN per person   0.62 (0.27–1.37) 0.42 (0.18–0.93)
Cluster IRS rate   0.30 (0.18–0.51) 0.25 (0.15–0.43)
Distance to nearest water (km)   0.98 (0.95–1.02) 0.98 (0.94–1.02)
Altitude (km)   0.19 (0.07–0.50) 0.17 (0.07–0.45)
Enhanced Vegetation Index (2 SDsa) 1.98 (1.48–2.65) 2.09 (1.55–2.81)
Rainfall (mm) (2 SDs) 2.04 (1.38–3.00) 2.03 (1.38–2.97)
Spatial variance   1.81 (1.35–2.39) 1.78 (1.33–2.35)
  1. Odds ratio (OR) and 95 % Bayesian Credibility Interval (BCI) presented where relevant
  2. a SD standard deviation