Using compartmental models and Particle Swarm Optimization to assess Dengue basic reproduction number for the Republic of Panama in the 1999-2022 period.

Nowadays, the ability to make data-driven decisions in public health is of utmost importance. To achieve this, it is necessary for modelers to comprehend the impact of models on the future state of healthcare systems. Compartmental models are a valuable tool for making informed epidemiological decisions, and the proper parameterization of these models is crucial for analyzing epidemiological events.