Efficient Prediction and Analysis of the possible evolution of the SARS-CoV-2 in COVID-19 applying the SEIR model in Santo Domingo de los Tsáchilas, Ecuador
subject: coronavirus, SARS-CoV-2, simulation, SIR model, modeling
description: In Ecuador, in the Santo Domingo de los Tsáchilas province, a Special Operations Committee (SOC) was created to take containment measures against severe acute respiratory syndrome coronavirus 2 (SARS-COV-2). This research deals with an analysis of the possible spread of the SARS-COV-2 virus causing the infectious disease caused by new coronavirus (2019-nCoV) using the Susceptible, Exposed, Infected and Recovered (SEIR) model as a prediction method according to the rigor of the containment measures evaluated. with the acceptability of people through a survey (95 %, CI) in which three parameters (α) severity of containment measures, (k) social impact of the pandemic and (β) transmission rate, are determined, which we then used as β (t) with initial value of β = 1. All this considering the rapid proliferation of the virus in the province and having an average of α = 3.23 (95 % CI: 3 - 4) and for k = 4.10 (95 % CI: 4 - 5) that the authorities will use to mitigate the spread of the virus, as well as future outbreaks of the disease.
creator: Moisés Filiberto Mora Murillo, Walter Alfredo Mora Murillo, Digvijay Pandey
source: Enfoqute
publisher: Universidad Tecnológica Equinoccial
date: 2020
coverage: Engineering (General). Civil engineering (General), Technology