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The global spread of the novel coronavirus is affected by the spread of related misinformation -- the so-called COVID-19 Infodemic -- that makes populations more vulnerable to the disease through resistance to mitigation efforts. Here we…

Social and Information Networks · Computer Science 2021-04-06 Kai-Cheng Yang , Francesco Pierri , Pik-Mai Hui , David Axelrod , Christopher Torres-Lugo , John Bryden , Filippo Menczer

Infodemics are a threat to public health, arising from multiple interacting phenomena occurring both online and offline. The continuous feedback loops between the digital information ecosystem and offline contingencies make infodemics…

Social and Information Networks · Computer Science 2025-02-03 Edoardo Loru , Marco Delmastro , Francesco Gesualdo , Matteo Cinelli

Over the course of the COVID-19 pandemic, large volumes of biomedical information concerning this new disease have been published on social media. Some of this information can pose a real danger to people's health, particularly when false…

Computation and Language · Computer Science 2022-04-27 Isabelle Mohr , Amelie Wührl , Roman Klinger

Online social media provides a channel for monitoring people's social behaviors and their mental distress. Due to the restrictions imposed by COVID-19 people are increasingly using online social networks to express their feelings.…

Social and Information Networks · Computer Science 2021-05-19 Sahraoui Dhelim , Liming Luke Chen , Huansheng Ning , Sajal K Das , Chris Nugent , Devin Burns , Gerard Leavey , Dirk Pesch , Eleanor Bantry-White

During the COVID-19 pandemic, social media has become a home ground for misinformation. To tackle this infodemic, scientific oversight, as well as a better understanding by practitioners in crisis management, is needed. We have conducted an…

Social and Information Networks · Computer Science 2020-08-26 Gautam Kishore Shahi , Anne Dirkson , Tim A. Majchrzak

Risk and response communication of public agencies through social media played a significant role in the emergence and spread of novel Coronavirus (COVID-19) and such interactions were echoed in other information outlets. This study…

Social and Information Networks · Computer Science 2020-08-11 Md Ashraf Ahmed , Arif Mohaimin Sadri , M. Hadi Amini

The world has seen in 2020 an unprecedented global outbreak of SARS-CoV-2, a new strain of coronavirus, causing the COVID-19 pandemic, and radically changing our lives and work conditions. Many scientists are working tirelessly to find a…

Information Retrieval · Computer Science 2020-05-18 Pierre Le Bras , Azimeh Gharavi , David A. Robb , Ana F. Vidal , Stefano Padilla , Mike J. Chantler

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…

Social and Information Networks · Computer Science 2026-04-21 Rohit Ram , Marian-Andrei Rizoiu

This paper investigates various ways in which a pandemic such as the novel coronavirus, could be predicted using different mathematical models. It also studies the various ways in which these models could be depicted using various…

General Economics · Economics 2021-02-16 Shailesh Bharati , Rahul Batra

With the spiraling pandemic of the Coronavirus Disease 2019 (COVID-19), it has becoming inherently important to disseminate accurate and timely information about the disease. Due to the ubiquity of Internet connectivity and smart devices,…

Social and Information Networks · Computer Science 2020-05-26 Md Tahmid Rashid , Dong Wang

COVID-19 remains a challenging global threat with ongoing waves of infections and clinical disease which have resulted millions of deaths and an enormous strain on health systems worldwide. Effective vaccines have been developed for the…

Data assimilation is used to optimally fit a classical epidemiology model to the Johns Hopkins data of the Covid-19 pandemic. The optimisation is based on the confirmed cases and confirmed deaths. This is the only data available with…

Populations and Evolution · Quantitative Biology 2020-03-31 Jörn Lothar Sesterhenn

Modern Bayesian approaches and workflows emphasize in how simulation is important in the context of model developing. Simulation can help researchers understand how the model behaves in a controlled setting and can be used to stress the…

The coronavirus (COVID-19) pandemic has significantly altered our lifestyles as we resort to minimize the spread through preventive measures such as social distancing and quarantine. An increasingly worrying aspect is the gap between the…

Social and Information Networks · Computer Science 2020-05-22 Muhammad Saad , Muhammad Hassan , Fareed Zaffar

As the COVID-19 spread over the globe and new variants of COVID-19 keep occurring, reliable real-time forecasts of COVID-19 hospitalizations are critical for public health decision on medical resources allocations such as ICU beds,…

Machine Learning · Computer Science 2022-02-09 Tao Wang , Simin Ma , Soobin Baek , Shihao Yang

Several researches and evidence show the increasing likelihood of pandemics (large-scale outbreaks of infectious disease) which has far reaching sequels in all aspects of human lives ranging from rapid mortality rates to economic and social…

Machine Learning · Computer Science 2021-04-06 Shreya Ghosh , Anwesha Mukherjee , Soumya K Ghosh , Rajkumar Buyya

The COVID-19 pandemic represents the most significant public health disaster since the 1918 influenza pandemic. During pandemics such as COVID-19, timely and reliable spatio-temporal forecasting of epidemic dynamics is crucial. Deep…

Machine Learning · Computer Science 2020-11-25 Lijing Wang , Aniruddha Adiga , Srinivasan Venkatramanan , Jiangzhuo Chen , Bryan Lewis , Madhav Marathe

The COVID-19 pandemic has witnessed the role of online social networks (OSNs) in the spread of infectious diseases. The rise in severity of the epidemic augments the need for proper guidelines, but also promotes the propagation of fake…

Dynamical Systems · Mathematics 2024-06-11 Madhu Dhiman , Chen Peng , Veeraruna Kavitha , Quanyan Zhu

The COVID-19 pandemic has exposed several weaknesses in the public health infrastructure, including supply chain mechanisms and public health ICT systems. The expansion of testing and contact tracing has been key to identifying and…

Computers and Society · Computer Science 2023-05-29 Maria N. Anastasiadou , Philippos Isaia , Panayiotis Kolios , Christos Charalambous

The global COVID-19 pandemic has led to the online proliferation of health-, political-, and conspiratorial-based misinformation. Understanding the reach and belief in this misinformation is vital to managing this crisis, as well as future…

Social and Information Networks · Computer Science 2021-01-29 Sophie Nightingale , Hany Farid
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