ANALISIS KAPASITAS RUANG PARKIR DI PELABUHAN FERRY LABUAN BAJO

<p>Bivariate negative binomial generalized linear mixed model (NB-GLMM) for <i>Schistosoma mansoni</i> infection risk among schoolchildren Mbita, Kenya.</p

Potential risk factors of <i>Schistosoma mansoni</i> infection.

<p>Potential risk factors of <i>Schistosoma mansoni</i> infection.</p

Relationship between local population density and intensity of <i>S. mansoni</i> infection.

<p>Scatter plot showing positive association between intensity of <i>S. mansoni</i> infection and population density. The population density and the intensity were expressed as the number of people within a radius of 1 km and log₁₀ (epg+1), respectively.</p

Map of the study area.

<p>A black rectangle in the national map indicates the position of the area shown in the main map frame. Small squares in the main frame indicate house of 310 schoolchildren. Dotted red circles indicate the extent of the area from which children attend the schools.</p

Intensity of <i>S. mansoni</i> infection among primary school children in Mbita, Kenya.

<p>The intensity of <i>S. mansoni</i> infection was mapped at the household level. According to the WHO guidelines, <i>S. mansoni</i> infection was categorized as: negative, light (1–99 epg), moderate (100–399 epg) or heavy (≥400 epg) infection. The number in the parentheses shows the geometric mean of the number of eggs in each school. Population density of each 500 m grid is shown in the background. The red solid circle indicates the unadjusted high risk cluster whereas the orange dotted circle indicates the cluster adjusted for potential risk factors as follows: sex, population density, house structure and latrine availability.</p

Prevalence of parasitic infections among schoolchildren, Mbita, Kenya.

<p>95% CI: 95% confidence interval.</p

Intensity of <i>Schistosoma mansoni</i> infection among schoolchildren in Mbita, Kenya.

<p>epg: egg per gramme of feces; Intensity of <i>S. mansoni</i> infection was calculated using geometric mean.</p

Clustering of <i>S</i>. <i>haematobium</i> and hookworm infections in the study area.

<p>The intensity was expressed as log₁₀ (N + 1). In the left panel, <i>S</i>. <i>haematobium</i> was categorized based on WHO guidelines as: negative, light (1–49 eggs/10 ml urine) and heavy (≥50 eggs/10 ml urine) represented by white, yellow and red dots respectively. The red and white cycles show high and low risk clusters respectively. In the right panel, hookworm was grouped into negative, light (1–1999) and moderate (2000–3999) indicated by white, yellow and brown dots respectively. High risk cluster shown by red circle while the large white cycle represents the low infection cluster.</p

Negative binomial generalized linear mixed model (NB-GLMM) for intensity of <i>S</i>. <i>haematobium</i> infection among schoolchildren in Kwale, Kenya.

<p>Negative binomial generalized linear mixed model (NB-GLMM) for intensity of <i>S</i>. <i>haematobium</i> infection among schoolchildren in Kwale, Kenya.</p

Number (%) of schoolchildren infected with three parasite species in Kwale, Kenya.

<p>Number (%) of schoolchildren infected with three parasite species in Kwale, Kenya.</p