Figure 1.
Shown is a diagrammatic representation of the retrieval strategy used for identifying and selecting studies for inclusion in the final analysis.
Figure 2.
Schematic representation of the model.
Shown is the branch of the model depicting liver pathology, which may or may not be present. If present, there may be hepatomegaly of varying degrees. Regardless of the degree of hepatomegaly, fibrosis may exist. Cirrhosis could only occur when fibrosis was present. Other comorbidities did not depend on the presence of other conditions.
Table 1.
Probability and disability weight estimates used in the base model to estimate the disability weight of S. japonicum
Table 2.
Proportion of model disability weight attributable to each morbidity
Figure 3.
The horizontal bars depict the effect of re-evaluating the disability weight (shown on the X-axis) after changing the value of the specified parameter from the low to the high end of its range. The number of parameters that resulted in the greatest variation are shown.
Figure 4.
Probabilistic sensitivity analyses.
Boxplots depicting the results of 5,000 simulation Monte Carlo analysis for each age-group model. Boxes represent the median, 25th and 75th percentiles, and error bars extend to the 2.5th and 97.5th percentile. Means are depicted by the circles.
Table 3.
Disability weight estimates from review studies of all schistosome strains and schistosomiasis japonica