Analyzing COVID-19 outbreaks: A methodological approach with Gaussian pulse models

Abstract

This method introduces a methodological approach for comprehensively analyzing COVID-19 outbreaks using Gaussian pulse models to assess transmission rates. Our methodology is designed to provide an in-depth understanding of the intricate dynamics underlying the spread of COVID-19. By incorporating Gaussian pulse models into our approach, we capture temporal and spatial outbreaks' characteristics with high precision. This method provides a detailed overview of our methodological approach, underscoring its potential to revolutionize our comprehension of COVID-19 outbreak dynamics. • Our methodology involves the application of Gaussian pulse models to the transmission rate estimation. • Parameter estimation in epidemic modeling involves adjusting key factors like transmission rate, and effective reproduction number to best match observed data. • We use Microsoft Excel's Solver add-in with the GRG algorithm to find the best parameter values, improving the data fit.

Keywords

• Gaussian Pulse Models for analyzing COVID-19 outbreaks