dc.creatorMora Murillo,Moisés Filiberto
dc.creatorMora Murillo,Walter Alfredo
dc.creatorPandey,Digvijay
dc.date2020-12-01
dc.date.accessioned2023-09-25T15:19:05Z
dc.date.available2023-09-25T15:19:05Z
dc.identifierhttp://scielo.senescyt.gob.ec/scielo.php?script=sci_arttext&pid=S1390-65422020000400101
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8825082
dc.descriptionAbstract 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.
dc.formattext/html
dc.languageen
dc.publisherUniversidad UTE
dc.relation10.29019/enfoqueute.v11n4.678
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceEnfoque UTE v.11 n.4 2020
dc.subjectSARS-CoV-2
dc.subjectCorona virus
dc.subjectModeling
dc.subjectSimulation
dc.subjecttransmissible, SEIR
dc.titleEfficient 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
dc.typeinfo:eu-repo/semantics/article


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