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Corona-Pandemie: Zukunfts-Überlegungen aus der Sicht epidemiologischer Modellierung
Monitor Versorgungsforschung, 2022 Seit dem Auftreten der Corona-Pandemie bestand weltweit die Frage, wann die Pandemie zu einem Ende kommen würde. Mittlerweile werden solche Hoffnungen von der Befürchtung verdrängt, dass die Infektionskrankheit nicht eliminiert werden kann und endemisch ...
PD Dr. Hans-Peter Dürr +1 more
doaj +1 more source
Epidemic model with isolation in multilayer networks [PDF]
, 2015 The Susceptible-Infected-Recovered (SIR) model has successfully mimicked the propagation of such airborne diseases as influenza A (H1N1). Although the SIR model has recently been studied in a multilayer networks configuration, in almost all the research ...
Alvarez Zuzek, L. G. +2 more
core +6 more sources
Analysis of A Coendemic Model of COVID-19 and Dengue Disease
Communication in Biomathematical Sciences, 2021 The coronavirus disease 2019 (COVID-19) pandemic continues to spread aggressively worldwide, infecting more than 170 million people with confirmed cases, including more than 3 million deaths.
Hilda Fahlena +5 more
doaj +1 more source
Efficiency of prompt quarantine measures on a susceptible-infected-removed model in networks [PDF]
, 2017 This study focuses on investigating the manner in which a prompt quarantine measure suppresses epidemics in networks. A simple and ideal quarantine measure is considered in which an individual is detected with a probability immediately after it becomes ...
Hasegawa, Takehisa, Nemoto, Koji
core +2 more sources
Network-based prediction of COVID-19 epidemic spreading in Italy
Applied Network Science, 2020 Initially emerged in the Chinese city Wuhan and subsequently spread almost worldwide causing a pandemic, the SARS-CoV-2 virus follows reasonably well the Susceptible–Infectious–Recovered (SIR) epidemic model on contact networks in the Chinese case.
Clara Pizzuti +3 more
doaj +1 more source
Optimal vaccination in a stochastic epidemic model of two non-interacting populations [PDF]
, 2014 Developing robust, quantitative methods to optimize resource allocations in response to epidemics has the potential to save lives and minimize health care costs. In this paper, we develop and apply a computationally efficient algorithm that enables us to
Alderson, David L. +3 more
core +4 more sources
Simple SIR models with Markovian control [PDF]
Japanese Journal of Statistics and Data Science, 2021 AbstractWe consider a random dynamical system, where the deterministic dynamics are driven by a finite-state space Markov chain. We provide a comprehensive introduction to the required mathematical apparatus and then turn to a special focus on the susceptible-infected-recovered epidemiological model with random steering.
Krzysztof Bartoszek +2 more
openaire +3 more sources
Journal of Computing Research and Innovation, 2022 In late 2019, the unique severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), also known as COVID-19, first emerged in Wuhan City, Hubei Province, China and quickly spread throughout the world. Until June 30, 2022, a total of 4,566,055 cases of
Yeong Kin Teoh +4 more
doaj +3 more sources
A Fractional-Order Infectivity and Recovery SIR Model
Fractal and Fractional, 2017 The introduction of fractional-order derivatives to epidemiological compartment models, such as SIR models, has attracted much attention. When this introduction is done in an ad hoc manner, it is difficult to reconcile parameters in the resulting ...
Christopher N. Angstmann +2 more
doaj +1 more source
Percolation and Connectivity on the Signal to Interference Ratio Graph [PDF]
, 2011 A wireless communication network is considered where any two nodes are connected if the signal-to-interference ratio (SIR) between them is greater than a threshold.
Vaze, Rahul
core +1 more source