The incidence rates of febrile malaria by age and ITN use.

<p>The incidence rates of febrile malaria by age and ITN use.</p

Survival plot of time to first episode of febrile malaria (>2,500 parasites per µl).

<p>Children are divided by age (in two categories) and by ITN use. P<0.0001 by logrank.</p

The effect of ITN use and residence at low transmission intensity on risk of febrile malaria, and the interactions with age group.

<p>Hazard ratios (HR) from Cox regression and incidence rate ratios (IRR) from Poisson regression are shown for survival and multiple event analyses, respectively. Children are divided into equal groups of younger (12–42 months) and older (42–80 months) children. The interaction term for ITN use and older age is shown by *. (i.e. the HR/IRR for what was observed in older children using ITNs compared with what would have been predicted for the additive effect of ITN use and older age).</p

Survival plot of time to first episode of febrile malaria (>2,500 parasites per µl).

<p>Children are divided by age (in two categories) and by residence (in two transmission zones). P<0.0001 by logrank.</p

Logistic models to examine the effect of ITN use and transmission intensity on the category of malaria infection, and their interactions with age.

<p>Odds ratios (OR) from logistic regression are shown, for the risk of febrile malaria compared with asymptomatic infection, and then for the risk of any malaria infection (i.e. asymptomatic infection or febrile malaria) with uninfected status. Children are divided into equal groups of younger (12–42 months) and older (42–80 months) children. The ORs are shown for the effect of ITN use according among the younger and then older children separately, and then the interaction term for ITN use and older age is shown by *. The same format is then used for the effect of residence at low transmission intensity (Low trans.).</p

Demographic and parasitological characteristics of the cohorts used in the analysis.

<p>Demographic and parasitological characteristics of the cohorts used in the analysis.</p

Merozoite antibody versus weighted local prevalence based models in predicting malaria infection in a Junju sub-cohort.

<p>*AUC: Area under the curve.</p

Areas under the ROC curves for the Multivariable weighted local prevalence based models for the three cohorts.

<p>Areas under the ROC curves for the Multivariable weighted local prevalence based models for the three cohorts.</p

Effect of weighted local prevalence of malaria infection from four annuli around each individual on risk of malaria infection.

*<p>AUC: Area under the curve.</p

Malaria attributable fractions of malaria case definitions for any parasitaemia and >2500/uL parasites in the four cohorts.

<p>Malaria attributable fractions of malaria case definitions for any parasitaemia and >2500/uL parasites in the four cohorts.</p