Spread of Covid-19: a Study Case of Honduras, Forecasting with Logistic Model and SIR Model

Autor: GUERRERO FLORES, DANNY JOEL
Přispěvatelé: ALVARADO ALVARADO, CESAR LEONARDO
Jazyk: angličtina
Rok vydání: 2020
Předmět:
DOI: 10.5281/zenodo.3754973
Popis: In this compilation, the logistic model and the SIR model are tested to forecast the spread of Covid-19 virus in Honduras by using the software Matlab. The mathematics topics involved are presented in a friendly way to facilitate their reading and to identify some possible didactic practices derived from their application. Certainly, some graphs, data arrangements and comments about the results obtained are given. The forecasts in this document depended on the handling of the data provided by the Hondurean's authorities.
Databáze: OpenAIRE