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Table 2 Predictors, based on logistic regression modelling, of the relative odds that a febrile case was associated with Plasmodium infection

From: Use of prospective hospital surveillance data to define spatiotemporal heterogeneity of malaria risk in coastal Kenya

Predictor Value
Odds ratio (95 % CI)
Linear fixed effect
 Sex: male 1.28 (1.12; 1.37)*
 Distance to the shoreline (km) 1.10 (1.01; 1.24)*
 Rice field presence 1.48 (0.71; 1.74)
 No. months with rice field presencea 1.16 (1.08; 1.29)*
 Less developed 1.15 (0.66; 1.99)
Smooth effectb
 Age *
 Month *
 Time since LLIN distribution *
Random effect
 Village Variance = 0.6
 Structured spatial effectc *
  1. * p < 0.05; ** p < 0.01
  2. aAs counted from 1 to 12 months
  3. bOnly the significance of factors for age, month and time passed since mass distribution of LLINs is indicated; the smooth functions of these predictors are shown in Fig. 5
  4. cOnly the significance of structured spatial effect is indicated; the predictors are shown in Fig. 6