Graph-Based Analysis of Severe Dengue: Exploring the Relationships Between Symptoms and Comorbidities

Abstract

Dengue represents a serious global public health issue. In this study, we apply network analysis to explore the interconnections between symptoms and comorbidities in severe disease cases. Based on epidemiological data from reported cases in Brazil, we identified leukopenia as a critical biomarker, along with relevant risk factors such as hypertension and diabetes. Community detection revealed distinct subgroups of patients, highlighting different risk profiles. The results suggest the need to update screening protocols, incorporating new clinical markers to improve early identification of severe cases. The proposed approach offers valuable insights into the pathophysiology of dengue and may contribute to more effective diagnosis, treatment, and clinical management strategies