Topological data analysis for cluster-based dengue forecasting in Mexico

Key Points

• Dengue forecasting showed improved accuracy using cluster-based predictive modeling, enhancing public health responses.
• Clustering techniques identified patterns in epidemiological data, resulting in better forecasting outcomes for future outbreaks.
• Analysis leveraged topological data analysis, integrating complex data structures to predict dengue incidence effectively.
• New approaches may enable better dengue outbreak preparedness, but further validation is necessary for broader application.