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相关论文: COVID-19 Vaccine Hesitancy and Information Diffusi…

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The outbreak of the novel Coronavirus Disease 2019 (COVID-19) has lasted for nearly two years and caused unprecedented impacts on people's daily life around the world. Even worse, the emergence of the COVID-19 Delta variant once again puts…

计算机与社会 · 计算机科学 2021-11-09 Hui Yin , Xiangyu Song , Shuiqiao Yang , Jianxin Li

Now that SARS-CoV-2 (COVID-19) vaccines are developed, it is very important to plan its distribution strategy. In this paper, we formulated a multi-objective linear programming model to optimize vaccine distribution and applied it to the…

种群与进化 · 定量生物学 2021-01-28 Jose Marie Antonio Minoza , Vena Pearl Bongolan , Joshua Frankie Rayo

This paper investigates the effects of vaccination on the dynamics of infectious disease, which is spreading in a population concurrently with awareness. The model considers contributions to the overall awareness from a global information…

定量方法 · 定量生物学 2018-05-14 G. O. Agaba , Y. N. Kyrychko , K. B. Blyuss

The optimal allocation of vaccines to population subgroups over time is a challenging health care management problem. In the context of a pandemic, the interaction between vaccination policies adopted by multiple agents and the cooperation…

最优化与控制 · 数学 2021-09-22 David Rey , Ahmed W Hammad , Meead Saberi

Vaccine hesitancy and other COVID-19-related concerns and complaints in the Philippines are evident on social media. It is important to identify these different topics and sentiments in order to gauge public opinion, use the insights to…

计算机与社会 · 计算机科学 2021-11-09 Jasper Kyle Catapang , Jerome V. Cleofas

Misinformation has emerged as a major societal threat in recent years in general; specifically in the context of the COVID-19 pandemic, it has wrecked havoc, for instance, by fuelling vaccine hesitancy. Cost-effective, scalable solutions…

人工智能 · 计算机科学 2024-07-29 Shakshi Sharma , Anwitaman Datta , Rajesh Sharma

Rogers' diffusion of innovations theory asserts that cultural similarity among individuals plays a crucial role in the acceptance of an innovation in a community. However, most studies on the diffusion of innovations have relied on…

Vaccine concerns are an ever-evolving target, and can shift quickly as seen during the COVID-19 pandemic. Identifying longitudinal trends in vaccine concerns and misinformation might inform the healthcare space by helping public health…

计算与语言 · 计算机科学 2024-02-06 Chloe Qinyu Zhu , Rickard Stureborg , Bhuwan Dhingra

The proliferation of fake news in the digital age has raised critical concerns, particularly regarding its impact on societal trust and democratic processes. Diverging from conventional agent-based simulation approaches, this work…

社会与信息网络 · 计算机科学 2024-10-21 Xinyi Li , Yu Xu , Yongfeng Zhang , Edward C. Malthouse

Human interactions are mediated by social influence. During crises like the COVID-19 pandemic, social influence determines whether life-saving information is adopted or immunization campaigns meet their targets. The literature on online…

社会与信息网络 · 计算机科学 2026-04-21 Rohit Ram , Marian-Andrei Rizoiu

Vaccinations play a critical role in mitigating the impact of COVID-19 and other diseases. This study explores COVID-19 vaccine misinformation circulating on Twitter during 2021, when vaccines were being released to the public in an effort…

社会与信息网络 · 计算机科学 2023-02-27 Francesco Pierri , Matthew R. DeVerna , Kai-Cheng Yang , David Axelrod , John Bryden , Filippo Menczer

At the peak of the COVID-19 pandemic, numerous countries worldwide sought to mobilize vaccination campaigns in an attempt to curb the spread and number of deaths caused by the virus. One avenue in which information regarding COVID…

计算与语言 · 计算机科学 2022-09-20 Sean Eugene G. Chua , Kevin Anthony S. Sison

The decision of whether or not to vaccinate is a complex one. It involves the contribution both to a social good -- herd immunity -- and to one's own well being. It is informed by social influence, personal experience, education, and mass…

种群与进化 · 定量生物学 2022-02-15 Soya Miyoshi , Marko Jusup , Petter Holme

Diffusion of innovation can be interpreted as a social spreading phenomena governed by the impact of media and social interactions. Although these mechanisms have been identified by quantitative theories, their role and relative importance…

物理与社会 · 物理学 2014-10-24 Márton Karsai , Gerardo Iñiguez , Kimmo Kaski , János Kertész

Understanding the spread of false or dangerous beliefs through a population has never seemed so urgent. Network science researchers have often taken a page from epidemiologists, and modeled the spread of false beliefs as similar to how a…

社会与信息网络 · 计算机科学 2022-01-11 Nicholas Rabb , Lenore Cowen , Jan P. de Ruiter , Matthias Scheutz

Vaccine hesitancy has been recognized as a major global health threat. Having access to any type of information in social media has been suggested as a potential powerful influence factor to hesitancy. Recent studies in other fields than…

社会与信息网络 · 计算机科学 2018-01-10 Ana Lucia Schmidt , Fabiana Zollo , Antonio Scala , Cornelia Betsch , Walter Quattrociocchi

Agent-based models are versatile tools for studying how societal opinion change, including political polarization and cultural diffusion, emerges from individual behavior. This study expands agents' psychological realism using…

多智能体系统 · 计算机科学 2017-02-22 Peter Duggins

Opposition to vaccination has long been a non-negligible public health phenomenon resulted from people's varied perceptions toward vaccination (e.g., vaccine-phobia). This paper investigates the voluntary vaccination behavior of a…

物理与社会 · 物理学 2019-09-04 Liqun Lu , Yanfeng Ouyang

The COVID-19 pandemic has severely impacted health systems and economies worldwide. Significant global efforts are therefore ongoing to improve vaccine efficacies, optimize vaccine deployment, and develop new antiviral therapies to combat…

种群与进化 · 定量生物学 2021-12-21 Rajat Desikan , Pranesh Padmanabhan , Andrzej M. Kierzek , Piet H. van der Graaf

The recent history of respiratory pathogen epidemics, including those caused by influenza and SARS-CoV-2, has highlighted the urgent need for advanced modeling approaches that can accurately capture heterogeneous disease dynamics and…