Additional file 1: of Using the hierarchical ordinal regression model to analyse the intensity of urinary schistosomiasis infection in school children in Lusaka Province, Zambia

Multilingual abstract in the five official working languages of the United Nations. (PDF 656 kb

Variation in probability of malaria in children aged less than 5 years with potential risk factors.

<p>Variation in probability of malaria in children aged less than 5 years with (a) age (b) wealth index (c) altitude (d) latitude. The vertical bars are CI.</p

Parameter estimates and 95% credible intervals for the categorical variables of the chosen model.

<p>Parameter estimates and 95% credible intervals for the categorical variables of the chosen model.</p

Observed malaria risk in children under five.

<p>Observed malaria risk in children under five years at the 140 EAs across Malawi.</p

Risk map of malaria in children less than 5 years.

<p>(a) Predictive risk map of malaria in children less than 5 years (b) Standard errors associated with the risk map. Green (brown) colours represent lower (higher) standard errors.</p

Morbidity, mortality, and HIV prevalence.

<p>Morbidity, mortality, and HIV prevalence.</p

Number of admissions (bars) and its proportion of all admissions (lines, with 95% confidence intervals).

<p>Number of admissions (bars) and its proportion of all admissions (lines, with 95% confidence intervals).</p