Opinion dynamics based on infectious disease transmission model in the non-connected context of Pythagorean fuzzy trust relationship

2020 ◽  
pp. 1-21
Author(s):  
Decui Liang ◽  
Bochun Yi ◽  
Zeshui Xu
Keyword(s):  
Infectious Disease ◽  
Disease Transmission ◽  
Opinion Dynamics ◽  
Transmission Model ◽  
Infectious Disease Transmission ◽  
Trust Relationship ◽  
Disease Transmission Model ◽  
Infectious Disease Transmission Model ◽  
Fuzzy Trust

A disease transmission model based on individual cognition

2020 ◽  
Vol 34 (32) ◽  
pp. 2050323
Author(s):  
Fuzhong Nian ◽  
Yayong Shi ◽  
Zhongkai Dang
Keyword(s):  
Infectious Disease ◽  
Disease Transmission ◽  
Transmission Rate ◽  
Small World ◽  
Transmission Model ◽  
Model Based ◽  
Individual Cognition ◽  
Disease Transmission Model ◽  
The Impact ◽  
Transmission Of Disease

Recently, the study about the disease transmission has received widespread attention. In the dynamics process of infectious disease, individual’s cognition about disease-related knowledge is an important factor that controls disease transmission. The disease-related information includes the cause, symptoms, transmission route and so on. Disease-related knowledge would influence the individual’s attitude toward disease, and influence the transmission rate and scale of the infectious disease. In order to study the impact of individual cognition on the transmission of disease, the disease transmission model based on individual cognition is proposed in this paper. Based on this model, we numerically simulate the transmission of disease in the small-world network and the BA scale-free network, respectively, and analyze the transmission dynamics behavior of the infectious disease. The simulation experiment verifies the validity of the theoretical result, which shows that this model is closer to the reality than traditional models.

scholarly journals Behavioural change models for infectious disease transmission: a systematic review (2010–2015)

2016 ◽  
Vol 13 (125) ◽  
pp. 20160820 ◽  
Author(s):  
Frederik Verelst ◽  
Lander Willem ◽  
Philippe Beutels
Keyword(s):  
Infectious Disease ◽  
Disease Transmission ◽  
Behavioural Change ◽  
Real Life ◽  
Transmission Model ◽  
Sources Of Information ◽  
Infectious Disease Transmission ◽  
Change Models ◽  
Individual Level ◽  
Search And Selection

We review behavioural change models (BCMs) for infectious disease transmission in humans. Following the Cochrane collaboration guidelines and the PRISMA statement, our systematic search and selection yielded 178 papers covering the period 2010–2015. We observe an increasing trend in published BCMs, frequently coupled to (re)emergence events, and propose a categorization by distinguishing how information translates into preventive actions. Behaviour is usually captured by introducing information as a dynamic parameter (76/178) or by introducing an economic objective function, either with (26/178) or without (37/178) imitation. Approaches using information thresholds (29/178) and exogenous behaviour formation (16/178) are also popular. We further classify according to disease, prevention measure, transmission model (with 81/178 population, 6/178 metapopulation and 91/178 individual-level models) and the way prevention impacts transmission. We highlight the minority (15%) of studies that use any real-life data for parametrization or validation and note that BCMs increasingly use social media data and generally incorporate multiple sources of information (16/178), multiple types of information (17/178) or both (9/178). We conclude that individual-level models are increasingly used and useful to model behaviour changes. Despite recent advancements, we remain concerned that most models are purely theoretical and lack representative data and a validation process.

Travel Connectivity and Infectious Disease Transmission Risks in Oceania

2020 ◽  
Author(s):  
Angela Maria Cadavid Restrepo ◽  
Luis Furuya-Kanamori ◽  
Helen Mayfield ◽  
Eric J. Nilles ◽  
Colleen L. Lau
Keyword(s):  
Infectious Disease ◽  
Disease Transmission ◽  
Infectious Disease Transmission

scholarly journals SPATIAL HETEROGENEITY IN SIMPLE DETERMINISTIC SIR MODELS ASSESSED ECOLOGICALLY

2012 ◽  
Vol 54 (1-2) ◽  
pp. 23-36 ◽  
Author(s):  
E. K. WATERS ◽  
H. S. SIDHU ◽  
G. N. MERCER
Keyword(s):  
Infectious Disease ◽  
Spatial Heterogeneity ◽  
Disease Transmission ◽  
Herd Immunity ◽  
Epidemic Models ◽  
Final Size ◽  
Infectious Disease Transmission ◽  
Epidemic Dynamics ◽  
Mean Crowding ◽  
Rate Of Movement

AbstractPatchy or divided populations can be important to infectious disease transmission. We first show that Lloyd’s mean crowding index, an index of patchiness from ecology, appears as a term in simple deterministic epidemic models of the SIR type. Using these models, we demonstrate that the rate of movement between patches is crucial for epidemic dynamics. In particular, there is a relationship between epidemic final size and epidemic duration in patchy habitats: controlling inter-patch movement will reduce epidemic duration, but also final size. This suggests that a strategy of quarantining infected areas during the initial phases of a virulent epidemic might reduce epidemic duration, but leave the population vulnerable to future epidemics by inhibiting the development of herd immunity.

Sign in / Sign up

Export Citation Format

Share Document