Abstract
This study builds on previous research conducted in the United States [1] and Europe [2] by extending the enhanced SEIR model with vital dynamics to South America, focusing on its most populous countries: Brazil, Colombia, Peru, Venezuela, and Argentina. The analysis aims to capture regional variations in Monkeypox (Mpox) outbreak dynamics by integrating vital population changes and a dynamic transmission rate (), while accounting for localized public health interventions.Argentina presents a particularly compelling case, as public health interventions during the Mpox outbreak were implemented, contrasting sharply with Brazil, where such measures were minimal. This contrast provides a unique opportunity to compare the dynamics of Monkeypox spread between the two most populous countries in South America.By examining these regional differences, this study investigates how diverse healthcare intervention measures influence epidemic trajectories. The findings underscore the critical role of public health measures in controlling outbreaks and demonstrate the adaptability of the enhanced SEIR model across different intervention scenarios. The study also highlights the robustness of the model in capturing both natural and intervention-driven epidemic dynamics.Through this investigation, the study offers actionable insights for tailoring epidemic responses to regions with differing healthcare infrastructure and intervention capacities. This approach underscores the importance of localized public health strategies and provides a valuable framework for modeling future outbreaks in diverse settings.
Published Version
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