Ibarra-Vega, Danny
2020-07-14T20:37:49Z
2020-07-14T20:37:49Z
2020
0048-9697
https://doi.org/10.1016/j.scitotenv.2020.138917
http://hdl.handle.net/20.500.12010/10519
A mathematical model has been created with the Systems Dynamics methodology. It is based on a SIR model,
with the addition of auxiliary and state variables that represent hospital capacity, contacts, contacts with infected,
deaths, giving, as a result, a model of four stock variables. Similarly, using piecewise functions, it was possible to
model the “quarantines” or lockdowns, and the effectiveness of reduction in the contacts, Results show the decrease in infected people due to the quarantines. The model was simulated for a population of 100,000. The simulations show trends of infections that could occur in three different scenarios: A) one extended lockdown
(60 days), B) two medium lockdowns of 30 days, with a 30-day smart lockdown space, and C) an initial 40-
day lockdown and then a 30-day smart lockdown. All the lockdowns start on day 25 after the first reported infection. The model presents a compact structure of broad understanding and successful capture of a COVID-19
outbreak and therefore provides an overview to improve knowledge of outbreak trends and quarantine effectiveness in reducing infection.
5 páginas
image/jepg
Science Direct
reponame:Expeditio Repositorio Institucional UJTL
instname:Universidad de Bogotá Jorge Tadeo Lozano
COVID 19
Mathematical modeling
Lockdown
System dynamics
Epidemic
Lockdown, one, two, none, or smart. Modeling containing covid-19 infection. A conceptual model
Artículo
Síndrome respiratorio agudo grave
COVID-19
SARS-CoV-2
Coronavirus
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/acceptedVersion
https://doi.org/10.1016/j.scitotenv.2020.138917