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DYNAMIC ANALYSIS OF THE COVID-19 MODEL WITH ISOLATION FACTORS
Covid-19 is a type of infectious disease caused by SARS Cov-2. This virus has spread throughout the world to cause a pandemic. This study aimed to model and analyze the spread of Covid-19 with the isolation factor. The spread of Covid-19 can be made into
Atika Ratna Dewi +2 more
doaj +1 more source
Numerical solution and parameter estimation for uncertain SIR model with application to COVID-19
Developing algorithms for solving high-dimensional uncertain differential equations has been an exceedingly difficult task. This paper presents an α\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage ...
Xiaowei Chen +3 more
semanticscholar +1 more source
Detections and SIR simulations of the COVID-19 pandemic waves in Ukraine
Background. Unfortunately, the COVID-19 pandemic is still far from stabilizing. Of particular concern is the sharp increase in the number of diseases in June-July, September-October 2020 and February-March 2021.
Nesteruk Igor
doaj +1 more source
Optimal control of the SIR model in the presence of transmission and treatment uncertainty
The COVID-19 pandemic illustrates the importance of treatment-related decision making in populations. This article considers the case where the transmission rate of the disease as well as the efficiency of treatments is subject to uncertainty.
N. Gatto, H. Schellhorn
semanticscholar +1 more source
Optimal vaccination in a SIRS epidemic model
17 pages, 4 ...
Federico, Salvatore +2 more
openaire +7 more sources
SARS-COV-2: SIR Model Limitations and Predictive Constraints
Background: The main purpose of this research is to describe the mathematical asymmetric patterns of susceptible, infectious, or recovered (SIR) model equation application in the light of coronavirus disease 2019 (COVID-19) skewness patterns worldwide ...
Charles Roberto Telles +2 more
semanticscholar +1 more source
Sepsis describes a complex clinical syndrome that results from the host inability to regulate the inflammatory response against infection. Despite more than 20 years of extensive study, sepsis and excessive systemic inflammatory response syndrome (SIRS) are still the leading cause of death in intensive care units.
Bhatia, M. +3 more
openaire +2 more sources
Predicting the evolution of the COVID-19 epidemic with the A-SIR model: Lombardy, Italy and São Paulo state, Brazil [PDF]
The presence of a large number of infected individuals with few or no symptoms is an important epidemiological difficulty and the main mathematical feature of COVID-19. The A-SIR model, i.e.
Armando G. M. Neves, Gustavo Guerrero
semanticscholar +1 more source
Influential Nodes Identification in Complex Networks via Information Entropy
Identifying a set of influential nodes is an important topic in complex networks which plays a crucial role in many applications, such as market advertising, rumor controlling, and predicting valuable scientific publications.
Chungu Guo +5 more
doaj +1 more source
The Coronavirus Disease 2019 (COVID-19) is a pulmonary disease produced by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) and has become a global pandemic March 2019.
A. Haj Ismail +4 more
doaj +1 more source

