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Streaming data routinely generated by mobile phones, social networks, e-commerce, and electronic health records present new opportunities for near real-time surveillance of the impact of an intervention on an outcome of interest via causal…

Methodology · Statistics 2021-11-30 Xu Shi , Lan Luo

In response to the COVID-19 pandemic and the potential threat of future epidemics caused by novel viruses, we developed a flexible framework for modeling disease intervention effects. This tool is intended to aid decision makers at multiple…

Multiagent Systems · Computer Science 2023-08-22 Karleigh Pine , Razvan Veliche , Jared Bennett , Joel Klipfel

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…

Computers and Society · Computer Science 2021-11-09 Jasper Kyle Catapang , Jerome V. Cleofas

The spreading dynamics of infectious diseases is influenced by individual behaviours, which are in turn affected by the level of awareness about the epidemic. Modelling the co-evolution of disease transmission and behavioural changes within…

Physics and Society · Physics 2026-02-27 Daniele Proverbio , Riccardo Tessarin , Giulia Giordano

Vaccination campaigns play a pivotal role in controlling infectious diseases. Their success, however, depends not only on vaccine efficacy and availability but also significantly on public opinion and the willingness of individuals to…

Physics and Society · Physics 2026-03-26 Anika Roy , Ujjwal Shekhar , Subrata Ghosh , Tomasz Kapitaniak , Chittaranjan Hens

The public confidence and trust in online healthcare information have been greatly dented following the COVID-19 pandemic, which triggered a significant rise in online health misinformation. Existing literature shows that different datasets…

Computers and Society · Computer Science 2026-02-03 Shreetika Poudel , Ankur Chatterjee

For efficient political decision-making in an emergency situation, a thorough recognition and understanding of the polarized topics is crucial. The cost of unmitigated polarization would be extremely high for the society; therefore, it is…

Social and Information Networks · Computer Science 2021-06-18 Kunihiro Miyazaki , Takayuki Uchiba , Fujio Toriumi , Kenji Tanaka , Takeshi Sakaki

We present a visual computing framework for analyzing moral rhetoric on social media around controversial topics. Using Moral Foundation Theory, we propose a methodology for deconstructing and visualizing the \textit{when}, \textit{where},…

Widespread uptake of vaccines is necessary to achieve herd immunity. However, uptake rates have varied across U.S. states during the first six months of the COVID-19 vaccination program. Misbeliefs may play an important role in vaccine…

Social and Information Networks · Computer Science 2022-07-14 Francesco Pierri , Brea Perry , Matthew R. DeVerna , Kai-Cheng Yang , Alessandro Flammini , Filippo Menczer , John Bryden

The COVID-19 pandemic has gained worldwide attention and allowed fake news, such as ``COVID-19 is the flu,'' to spread quickly and widely on social media. Combating this coronavirus infodemic demands effective methods to detect fake news.…

Social and Information Networks · Computer Science 2022-11-22 Xinyi Zhou , Reza Zafarani , Emilio Ferrara

The ongoing COVID-19 pandemic is challenging every part of society. From a scientific point of view the first major task is to predict the dynamics of the pandemic, allowing governments to allocate proper resources and measures to fight it,…

Populations and Evolution · Quantitative Biology 2020-09-29 Heinrich Stolz , Dirk Semkat , Peter Grünwald

We address the diffusion of information about the COVID-19 with a massive data analysis on Twitter, Instagram, YouTube, Reddit and Gab. We analyze engagement and interest in the COVID-19 topic and provide a differential assessment on the…

Recently, the misinformation problem has been addressed with a crowdsourcing-based approach: to assess the truthfulness of a statement, instead of relying on a few experts, a crowd of non-expert is exploited. We study whether crowdsourcing…

Early on during a pandemic, vaccine availability is limited, requiring prioritisation of different population groups. Evaluating vaccine allocation is therefore a crucial element of pandemics response. In the present work, we develop a…

Since the outbreak of the COVID-19, there have been many scientific publications studying the COVID-19. The purpose of this study is to identify the research trend, collaboration pattern, most influential elements, etc. from scientific…

Digital Libraries · Computer Science 2024-07-24 Xuezhou Fan

It has been one year since the outbreak of the COVID-19 pandemic. The good news is that vaccines developed by several manufacturers are being actively distributed worldwide. However, as more and more vaccines become available to the public,…

Social and Information Networks · Computer Science 2021-07-07 Wei Wu , Hanjia Lyu , Jiebo Luo

Humans currently use arguments for explaining choices which are already made, or for evaluating potential choices. Each potential choice has usually pros and cons of various strengths. In spite of the usefulness of arguments in a decision…

Artificial Intelligence · Computer Science 2012-07-19 Leila Amgoud , Henri Prade

The ongoing COVID-19 pandemic highlights the importance of dashboards for providing critical real-time information. In order to enable people to obtain information in time and to understand complex statistical data, many developers have…

Human-Computer Interaction · Computer Science 2022-06-02 Xinyan Li , Han Wang , Chunyang Chen , John Grundy

The Covid-19 pandemic revealed the difficulties of vaccinating a population under the circumstances marked by urgency and limited availability of doses while balancing benefits associated with distinct guidelines satisfying specific ethical…

Quantitative Methods · Quantitative Biology 2023-06-08 Pedro Ribeiro de Almeida , Vitor Hirata Sanches , Carla Goldman

Forecasting the short-term spread of an ongoing disease outbreak is a formidable challenge due to the complexity of contributing factors, some of which can be characterized through interlinked, multi-modality variables such as…

Machine Learning · Computer Science 2024-04-11 Hongru Du , Jianan Zhao , Yang Zhao , Shaochong Xu , Xihong Lin , Yiran Chen , Lauren M. Gardner , Hao Frank Yang
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