scholarly journals Structures d’information et décision en équipe dans le système de distribution des soins

2009 ◽  
Vol 52 (2) ◽  
pp. 206-231
Author(s):  
Alain Haurie
Keyword(s):  
Disease Dynamics ◽  
Economics Of Information ◽  
Hospital System ◽  
Demand And Supply ◽  
Team Decision Theory ◽  
Concepts Of Disease ◽  
Team Decision ◽  
System Information ◽  
Or Team ◽  
Theoretical Results

Abstract In this paper one proposes a methodological framework for the study of information and decision structures in hospital management. With a particular reference to the control of nursing care demand and supply, various information and decision schemes are considered. The concepts of disease dynamics, state of the hospital system, information, strategy are explored. It is shown how recent theoretical results dealing with the economics of information or team decision theory may serve to formulate and analyse some fundamental resource allocation problems.

scholarly journals Extinction and persistence of a stochastic SIRV epidemic model with nonlinear incidence rate

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Ramziya Rifhat ◽  
Zhidong Teng ◽  
Chunxia Wang
Keyword(s):  
Epidemic Model ◽  
Control Strategies ◽  
Random Perturbations ◽  
Disease Dynamics ◽  
Nonlinear Incidence Rate ◽  
Nonlinear Incidence ◽  
Analysis Theory ◽  
Lyapunov Function Method ◽  
Random Fluctuations ◽  
Theoretical Results

AbstractIn this paper, a stochastic SIRV epidemic model with general nonlinear incidence and vaccination is investigated. The value of our study lies in two aspects. Mathematically, with the help of Lyapunov function method and stochastic analysis theory, we obtain a stochastic threshold of the model that completely determines the extinction and persistence of the epidemic. Epidemiologically, we find that random fluctuations can suppress disease outbreak, which can provide us some useful control strategies to regulate disease dynamics. In other words, neglecting random perturbations overestimates the ability of the disease to spread. The numerical simulations are given to illustrate the main theoretical results.

Robust Team Decision Theory

2012 ◽  
Vol 57 (3) ◽  
pp. 794-798 ◽  
Author(s):  
A. Gattami ◽  
B. M. Bernhardsson ◽  
A. Rantzer
Keyword(s):  
Decision Theory ◽  
Team Decision Theory ◽  
Team Decision

scholarly journals Fractional SEIRP model for COVID-19 dynamics incorporatingsocial distancing and environment

2021 ◽  
Author(s):  
Saheed Ojo Akindeinde ◽  
E. Okyere ◽  
A. O. Adewumi ◽  
R. S. Lebelo ◽  
O. O. Fabelurin ◽  
...  
Keyword(s):  
Compartmental Model ◽  
Reproduction Number ◽  
Banach Fixed Point Theorem ◽  
The Novel ◽  
Disease Dynamics ◽  
Stability Criteria ◽  
Proposed Model ◽  
Uniqueness Of The Solution ◽  
The Stability ◽  
Theoretical Results

Abstract We propose a Caputo-based fractional compartmental model for the dynamics of the novel COVID-19 epidemic taking into consideration social distancing and the influence of the environment. Using basic concepts such as continuity and Banach fixed-point theorem, the existence and uniqueness of the solution to the proposed model were shown. Furthermore, we analyze the stability of the model in the context of Ulam-Hyers and generalized Ulam-Hyers stability criteria. The concept of next-generation matrices was used to compute the basic reproduction number $R_0,$ a number that determines the spread or otherwise of the disease into the general population. Numerical simulation of the disease dynamics was carried out using the fractional Adam-Bashforth-Moulton method to validate the obtained theoretical results.

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