Network Information Analysis Reveals Risk Perception Transmission in a Behaviour-influenza Dynamics System

Overview

Journal Epidemiol Infect

Publisher Cambridge University Press

Specialties Infectious Diseases
Public Health

Date 2014 Mar 22

PMID 24650779

Citations 7

Authors

C-M Liao

S-H You

Y-H Cheng

Affiliations

Soon will be listed here.

Abstract

Influenza poses a significant public health burden worldwide. Understanding how and to what extent people would change their behaviour in response to influenza outbreaks is critical for formulating public health policies. We incorporated the information-theoretic framework into a behaviour-influenza (BI) transmission dynamics system in order to understand the effects of individual behavioural change on influenza epidemics. We showed that information transmission of risk perception played a crucial role in the spread of health-seeking behaviour throughout influenza epidemics. Here a network BI model provides a new approach for understanding the risk perception spread and human behavioural change during disease outbreaks. Our study allows simultaneous consideration of epidemiological, psychological, and social factors as predictors of individual perception rates in behaviour-disease transmission systems. We suggest that a monitoring system with precise information on risk perception should be constructed to effectively promote health behaviours in preparation for emerging disease outbreaks.

Citing Articles

Does Public Health Emergency Experience Have an Impact on Individual Reactions during COVID-19?.

Zhang C, Ou P, Guo P Healthcare (Basel). 2023; 11(9).

PMID: 37174754 PMC: 10178868. DOI: 10.3390/healthcare11091212.

Risk perception and subsidy policy-based voluntary vaccination driven by multiple information sources.

Wang B, Wu L, Hong X, Han Y PLoS One. 2022; 17(10):e0276177.

PMID: 36227953 PMC: 9560505. DOI: 10.1371/journal.pone.0276177.

Public Engagement and Government Responsiveness in the Communications About COVID-19 During the Early Epidemic Stage in China: Infodemiology Study on Social Media Data.

Liao Q, Yuan J, Dong M, Yang L, Fielding R, Lam W J Med Internet Res. 2020; 22(5):e18796.

PMID: 32412414 PMC: 7284407. DOI: 10.2196/18796.

Health-seeking behavior and transmission dynamics in the control of influenza infection among different age groups.

You S, Chen S, Liao C Infect Drug Resist. 2018; 11:331-343.

PMID: 29563814 PMC: 5846056. DOI: 10.2147/IDR.S153797.

Exploring Voluntary Vaccinating Behaviors using Evolutionary N-person Threshold Games.

Shi B, Wang W, Qiu H, Chen Y, Peng S Sci Rep. 2017; 7(1):16355.

PMID: 29180687 PMC: 5704005. DOI: 10.1038/s41598-017-16680-z.

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