Treffer: Study Findings on Infectious Diseases and Conditions Reported by Researchers at Universidade do Estado do Amazonas (Generalization of the SIRM Epidemiological Model with Numerical Solution via Runge-Kutta for Multiple Infectious Diseases in an...).

The article focuses on research from the Universidade do Estado do Amazonas that extends the SIRM epidemiological model, previously used for COVID-19, to simulate various infectious diseases. The study employs a system of ordinary differential equations solved using the fourth-order Runge-Kutta method, implemented in Python with an interactive interface for selecting diseases and exporting results. The research aims to serve as an educational and decision-support tool for researchers and public health managers. Further details can be found in the journal article titled "Generalization of the SIRM Epidemiological Model with Numerical Solution via Runge-Kutta for Multiple Infectious Diseases in an Interactive Environment." [Extracted from the article]