The influence of awareness on epidemic spreading on random networks

Li, Meili; Wang, Manting; Xue, Shuyang; Ma, Junling

doi:10.1016/j.jtbi.2019.110090

Cited by 18 publications

(24 citation statements)

References 24 publications

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“…All in all, these results also show how the knowledge acquired by Chinese citizens from other epidemics, as well as from COVID-19, could have played a significant role in the prevention of the health crisis in Spain. If people can acquire awareness from outbreaks in other regions before the start of the local epidemic, the number of infections and the final size of an epidemic can be reduced [57]. Even an individual that did not receive centralized information, observation, or mouth-to-mouth information from others can also reduce their susceptibility to a disease [58].…”

Section: Discussionmentioning

confidence: 99%

Coping of Chinese Citizens Living in Spain during the COVID-19 Pandemic: Lessons for Personal Well-Being and Social Cohesion

et al. 2020

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Chinese citizens in China were the first affected by the COVID-19 outbreak. Nevertheless, the disease rapidly spread around the world, leading to the worst pandemic experienced in modern societies. Spain has become one of the countries more severely affected by it, while having a large Chinese community. This study aims to explore the perception of Chinese citizens living in Spain regarding the outbreak in their host country. Communicative interviews were conducted with ten Chinese men and women who had been living in Spain for at least five years. Results show cultural differences in the coping strategies of the Chinese as a response to the pandemic, which differ from those observed by the participants in their fellow Spanish citizens. These findings unveil the potential of integrating the cultural knowledge and coping strategies of migrant groups in the host communities in managing a pandemic, as well as the negative outcomes for social cohesion and well-being from new racism emerging in the context of COVID-19.

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Section: Discussionmentioning

confidence: 99%

Coping of Chinese Citizens Living in Spain during the COVID-19 Pandemic: Lessons for Personal Well-Being and Social Cohesion

et al. 2020

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“…Zhao et al (8) developed a SEIR/V-UA (susceptiblevaccinated-exposed-infected-recovered with unaware-aware) model to explore the joint impact of the awareness diffusion and epidemic transmission, and verified the model through the Monte Carlo (MC) method and numerical simulation on the scale-free networks. Li et al (9) studied the impact of global and the local awareness on the dynamics of an SIR epidemic, and validated the infection rate and network degree distribution determine the scale of the effect. Ye et al (10) proposed a heterogeneous disease-information-behavior propagation model to study how various types of individuals (overreacting vs. underreacting) affect the epidemic outbreak and the prevalence of protective behavior, and performed the numerical simulation to research the impact of the different on the epidemic.…”

Section: Introductionmentioning

confidence: 99%

Analyzing COVID-19 Vaccination Behavior Using an SEIRM/V Epidemic Model With Awareness Decay

Zuo

Zhu

Ling

2022

Front. Public Health

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Information awareness about COVID-19 spread through multiple channels can stimulate individuals to vaccinate to protect themselves and reduce the infection rate. However, the awareness individuals may lose competency over time due to the decreasing quality of the information and fading of awareness. This paper introduces awareness programs, which can not only change people from unaware to aware state, but also from aware to unaware state. Then an SEIRM/V mathematical model is derived to study the influence of awareness programs on individual vaccination behavior. We evaluate the dynamical evolution of the system model and perform the numerical simulation, and examine the effects of awareness transformation based on the COVID-19 vaccination case in China. The results show that awareness spread through various information sources is positively associated with epidemic containment while awareness fading negatively correlates with vaccination coverage.

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“…The connection among these areas can be seen, for example, in the spread of antivax content in social media [14,15], which plays an important role in the adhesion of consolidated vaccination campaigns such as measles and seasonal flu. In general, information changes epidemic spreading [16][17][18][19][20][21][22][23] while the effects depend on the nature of this information, for instance with regard to whether it is local (from near neighbors) or global (from the whole population). In both cases, the size of the outbreak is reduced [16][17][18]23], but only local awareness (or perception) is capable of raising the epidemic threshold [16,18,19].…”

Section: Introductionmentioning

confidence: 99%