Fig. 4
Network analysis of the signs and symptoms identified in the study sample*1–3. *Every clinical sign or symptom is a node. The size of the node correlates with the number of individuals presenting the given condition. An edge between nodes (variables) indicates a statistically significant association between them. The thickness of the edges indicates the strength of the association, which correlates with the number of times that both items appear together in the data set. A more central location of the node indicates a higher centrality score, which can be interpreted as a higher influence (higher density of connections) over the network. In Figure S1 we show the centrality scores of the network calculations for each of the variables examined. Briefly, the network suggests the existence of clusters of signs and symptoms around the case definition of genitourinary schistosomiasis used for this analysis (Schisto +). Note that the working case definition should not be considered a diagnostic criteria for MGS because it cannot be performed in the absence of reliable microbiological methods to identify parasites. 1UTI: Urinary tract infections; 2STI: Sexually Transmitted Infections. 3We considered for this analysis the cumulative history of signs and symptoms collected by means of both a directed questionnaire and a review of digitalized medical histories