How do social media and individual behaviors affect epidemic transmission and control?

Du, Erhu; Chen, Eddie; Liu, Ji; Chen, Kewei

doi:10.1016/j.scitotenv.2020.144114

Cited by 40 publications

(36 citation statements)

References 66 publications

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“…While the models reviewed include the effects of online media, it should be remembered that online media (in particular social media) have dramatically changed the way information is generated, consumed, and then propagated [ 40 , 41 ]. Consequently, models need to be modified to accommodate emerging features arising from this novel information ecosystem.…”

Section: Idiosyncratic Features Of Online Mediamentioning

confidence: 99%

FOMO (fate of online media only) in infectious disease modeling: a review of compartmental models

Sooknanan

Seemungal

2022

Int. J. Dynam. Control

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Mathematical models played in a major role in guiding policy decisions during the COVID-19 pandemic. These models while focusing on the spread and containment of the disease, largely ignored the impact of media on the disease transmission. Media plays a major role in shaping opinions, attitudes and perspectives and as the number of people online increases, online media are fast becoming a major source for news and health related information and advice. Consequently, they may influence behavior and in due course disease dynamics. Unlike traditional media, online media are themselves driven and influenced by their users and thus have unique features. The main techniques used to incorporate online media mathematically into compartmental models, with particular reference to the ongoing COVID-19 pandemic are reviewed. In doing so, features specific to online media that have yet to be fully integrated into compartmental models such as misinformation, different time scales with regards to disease transmission and information, time delays, information super spreaders, the predatory nature of online media and other factors are identified together with recommendations for their incorporation.

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Section: Idiosyncratic Features Of Online Mediamentioning

confidence: 99%

FOMO (fate of online media only) in infectious disease modeling: a review of compartmental models

Sooknanan

Seemungal

2022

Int. J. Dynam. Control

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“…For example, individuals can strongly cherish nature and the environment but not think of themselves as people who support environmental protection ( Juvan and Dolnicar, 2014 ). According to the values-belief-norm theory, other factors affect PEB, such as beliefs ( Ünal et al, 2018 ), personal norms ( Antonetti and Maklan, 2014 ), perceptual control ( Du et al, 2020 ) and other cognitive factors. The studies show that only individuals with high EV, certain environmental beliefs, moral norms, and behavioral and perceptual control can promote PEB.…”

Section: Introductionmentioning

confidence: 99%

Environmental Value and Pro-environmental Behavior Among Young Adults: The Mediating Role of Risk Perception and Moral Anger

Liu

Wuyun

2022

Front. Psychol.

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This study aims to identify the relationship between students’ environmental value (EV) and pro-environmental behavior (PEB) within a values-belief-norm framework. To conduct an empirical study, we used a sample of 558 online surveys and adopted the partial least squares path modeling method to test the relationships between variables in the conceptual model. The results indicate that EV positively predicted PEB among young adults. In addition, we highlight that risk perception (RP) and moral anger (MA) play critical chain mediating roles in the relationship between EV and PEB. This study has meaningful implications for practitioners seeking to encourage the public’s ecofriendly behavior by suggesting ways to encourage RP and stimulate individuals’ moral emotions about the environment.

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“…With further research, researchers have verified the fact that a larger trust parameter, forgetting rate, and time delay affect the speed of rumor spreading [ 11 – 13 ]. Du et al [ 14 ] concluded that public education and timely correction of media errors were crucial factors of propagation. From the perspective of the heterogeneity of public risk perception, the lower the heterogeneity of public risk perception, the greater the impact on public opinions [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

Exploring a Multi-Layer Coupled Network Propagation Model Based on Information Diffusion and Bounded Trust

Ju¹,

Wang²,

Jiang³

et al. 2022

Int J Public Health

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Objective: To explore the law of opinion dissemination and individual opinion evolution at the micro level, this paper analyzes the influence of variation and oyster on communication from the perspective of network structure.Methods: In this paper, we introduce the concepts of “variation” and “oyster”, build a multi-layer coupled network environment combined with the ISOVR model, and conduct simulation experiments of network information dissemination based on the bounded trust model.Results: The experimental results reveal that the extent and scope of variation’s spread in the network are more dependent on the trust of nodes themselves, and decreasing the trust of nodes significantly reduces the rate and peak value of variation. Changing the silence coefficient of variation does not effectively change the direction of rumor propagation, which indicates that rumor has a strong propagation ability after mutation.Conclusion: The insights of this paper on the dissemination of public opinions include: 1) pay attention to people with high trust levels, such as opinion leaders; 2) clarify the misinformation in time to prevent further spread of rumors.

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How do social media and individual behaviors affect epidemic transmission and control?

Cited by 40 publications

References 66 publications

FOMO (fate of online media only) in infectious disease modeling: a review of compartmental models

FOMO (fate of online media only) in infectious disease modeling: a review of compartmental models

Environmental Value and Pro-environmental Behavior Among Young Adults: The Mediating Role of Risk Perception and Moral Anger

Exploring a Multi-Layer Coupled Network Propagation Model Based on Information Diffusion and Bounded Trust

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