RISK AWARENESS TO EPIDEMIC INFORMATION AND SELF-RESTRICTED TRAVEL BEHAVIOR ON CONTAGION

2021 ◽  
pp. 2150001
Author(s):  
WEN-JUAN XU ◽  
CHEN-YANG ZHONG ◽  
HUI-FEN YE ◽  
RONG-DA CHEN ◽  
TIAN QIU ◽  
...  

By incorporating delayed epidemic information and self-restricted travel behavior into the SIS model, we have investigated the coupled effects of timely and accurate epidemic information and people’s sensitivity to the epidemic information on contagion. In the population with only local random movement, whether the epidemic information is delayed or not has no effect on the spread of the epidemic. People’s high sensitivity to the epidemic information leads to their risk aversion behavior and the spread of the epidemic is suppressed. In the population with only global person-to-person movement, timely and accurate epidemic information helps an individual cut off the connections with the infected in time and the epidemic is brought under control in no time. A delay in the epidemic information leads to an individual’s misjudgment of who has been infected and who has not, which in turn leads to rapid progress and a higher peak of the epidemic. In the population with coexistence of local and global movement, timely and accurate epidemic information and people’s high sensitivity to the epidemic information play an important role in curbing the epidemic. A theoretical analysis indicates that people’s misjudgment caused by the delayed epidemic information leads to a higher encounter probability between the susceptible and the infected and people’s self-restricted travel behavior helps reduce such an encounter probability. A functional relation between the ratio of infected individuals and the susceptible-infected encounter probability has been found.

2004 ◽  
Vol 2 (2) ◽  
Author(s):  
Gary E. Marche

Although corruption and optimal law enforcement literature have addressed the effects of corruption, little has been done to analyze the decision to become corrupt. For example, little is known about risk preferences and how they might affect the nature of a corrupt exchange scheme. To answer this question, a theoretical analysis is developed that considers the noncoercive incentivea and circumstances necessary for a law enforcement official, assumed averse to criminal risk, to choose a corrupt exchange with organized crime that involves murder. Risk-aversion and the severity of the crime involved are shown to reduce the likelihood of detecting the corruption scheme and murder is shown to be optimal. Corruption schemes involving less risk averse offenders are analyzed and compared.


2005 ◽  
Vol 295-296 ◽  
pp. 295-300
Author(s):  
S. Usuki ◽  
Kazuyuki Enami ◽  
M. Hiraki ◽  
S. Takahashi ◽  
Kiyoshi Takamasu

For flexible 3D positioning of a complex 3D mechanism, it is needed to measure 3D displacement of the end-effecter of the mechanism in high precision and by non-contact method. It was common to use plural sensors or scales together to measure the 3D displacement. However, it is difficult to calibrate the sensitivities of the plural sensors or scales. A novel 3D displacement measurement is proposed using an optical system in which lens focuses are collected at the center of the sphere, which has been used for the radius measurement of the sphere. Instead of facing in the XY direction that has high sensitivity, new ideas are necessary for the measurement in the Z direction of the optics where focuses are collected at the center of the sphere. The displacement in the XY direction and the one in the Z direction can be measured at the same time by using a ring-shaped laser beam instead of a simple ray.


2016 ◽  
Vol 23 (1) ◽  
pp. 22-37 ◽  
Author(s):  
Tingqiang CHEN ◽  
Jianmin HE ◽  
Xindan LI

This paper introduces an evolving network model of credit risk contagion containing the average fitness of credit risk contagion, the risk aversion sentiments, and the ability of resist risk of credit risk holders. We discuss the effects of the aforementioned factors on credit risk contagion in the financial market through a series of theoretical analysis and numerical simulations. We find that, on one hand, the infected path distribution of the network gradually increases with the increase in the average fitness of credit risk contagion and the risk aversion sentiments of nodes, but gradually decreases with the increase in the ability to resist risk of nodes. On the other hand, the average fitness of credit risk contagion and the risk aversion sentiments of nodes increase the average clustering coefficient of nodes, whereas the ability to resist risk of nodes decreases this coefficient. Moreover, network size also decreases the average clustering coefficient.


2017 ◽  
Vol 104 ◽  
pp. 209-214 ◽  
Author(s):  
Jiaquan Zhang ◽  
Dan Lu ◽  
Shunkun Yang

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 1987
Author(s):  
Wenqin Mo ◽  
Huiyun Liu ◽  
Fang Jin ◽  
Junlei Song ◽  
Kaifeng Dong

2013 ◽  
Vol 06 (04) ◽  
pp. 1350025 ◽  
Author(s):  
BEI LIN ◽  
ZHENLONG SUN ◽  
XINCHU FU ◽  
GUANGHU ZHU

In this paper, to better understand the impact of awareness and the network structure on epidemic transmission, we divide the population into four subpopulations corresponding to different physical states and conscious states, and we first propose a modified disease-awareness model, then verify the global stability of the disease-free and endemic equilibria, and finally present numerical simulations to demonstrate the theoretical analysis. By examining the spreading influences of model parameters, we find that the outbreak scale can be effectively controlled through increasing the spread rate of awareness or reducing the rate of awareness loss. That is to say, all sorts of media publicity are meaningful. Meanwhile, we find that infection will be affected by consciousness through the control variable.


2011 ◽  
Vol 130-134 ◽  
pp. 458-462 ◽  
Author(s):  
Rui Mei Lian

An amended LMS Newton algorithm is proposed which create the nonlinear functional relation of the step factor μ and the error signal e (n). And the next we discuss the factors in the amended algorithm and the performance in the different IP environment. The algorithm is simple and easy to be implemented, Theoretical analysis and computer simulation show that the properties of the algorithm such as convergence speed, and steady state error ate better than those of SVSLMS algorithm.


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