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A Control Approach to the Covid-19 Disease Using a SEIHRD Dynamical Model
Author(s) -
Fernando Pazos,
Flavia Felicioni
Publication year - 2020
Publication title -
anais do congresso brasileiro de automática 2020
Language(s) - English
Resource type - Conference proceedings
DOI - 10.48011/asba.v2i1.1002
Subject(s) - covid-19 , computer science , controller (irrigation) , psychological intervention , epidemic disease , unrest , control (management) , parametric statistics , health care , healthcare system , econometrics , disease , risk analysis (engineering) , economics , business , medicine , economic growth , artificial intelligence , mathematics , political science , virology , infectious disease (medical specialty) , biology , statistics , psychiatry , law , pathology , agronomy , politics

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