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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