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Long COVID continues to challenge public health by affecting a significant segment of individuals who have recovered from acute SARS-CoV-2 infection yet endure prolonged and often debilitating symptoms. Social media has emerged as a vital…

Social and Information Networks · Computer Science 2024-12-30 Nirmalya Thakur

The emergence of the novel COVID-19 pandemic has had a significant impact on global healthcare and the economy over the past few months. The virus's rapid widespread has led to a proliferation in biomedical research addressing the pandemic…

Artificial Intelligence · Computer Science 2020-07-21 Chongyan Chen , Islam Akef Ebeid , Yi Bu , Ying Ding

As the COVID-19 ravaging through the globe, accurate forecasts of the disease spread is crucial for situational awareness, resource allocation, and public health decision-making. Alternative to the traditional disease surveillance data…

Applications · Statistics 2021-11-04 Simin Ma , Shihao Yang

A considerable amount of various types of data have been collected during the COVID-19 pandemic, the analysis and interpretation of which have been indispensable for curbing the spread of the disease. As the pandemic moves to an endemic…

Cryptography and Security · Computer Science 2022-09-15 Fang Liu , Dong Wang , Tian Yan

The spreading COVID-19 misinformation over social media already draws the attention of many researchers. According to Google Scholar, about 26000 COVID-19 related misinformation studies have been published to date. Most of these studies…

Social and Information Networks · Computer Science 2021-07-09 Ye Jiang , Xingyi Song , Carolina Scarton , Ahmet Aker , Kalina Bontcheva

The proliferation of online misinformation has emerged as one of the biggest threats to society. Considerable efforts have focused on building misinformation detection models, still the perils of misinformation remain abound. Mitigating…

Computation and Language · Computer Science 2024-01-19 Mohit Chandra , Anush Mattapalli , Munmun De Choudhury

This document analyzes the role of data-driven methodologies in Covid-19 pandemic. We provide a SWOT analysis and a roadmap that goes from the access to data sources to the final decision-making step. We aim to review the available…

Populations and Evolution · Quantitative Biology 2020-06-11 Teodoro Alamo , D. G. Reina , Pablo Millán

The COVID-19 pandemic and the mitigation policies implemented in response to it have resulted in economic losses worldwide. Attempts to understand the relationship between economics and epidemiology has lead to a new generation of…

As COVID-19 pandemic progresses, severe flu seasons may happen alongside an increase in cases in cases and death of COVID-19, causing severe burdens on health care resources and public safety. A consequence of a twindemic may be a mixture…

Applications · Statistics 2022-02-08 Simin Ma , Shaoyang Ning , Shihao Yang

Because of the rapid spread of COVID-19 to almost every part of the globe, huge volumes of data and case studies have been made available, providing researchers with a unique opportunity to find trends and make discoveries like never…

Machine Learning · Computer Science 2021-10-20 Sarwan Ali , Yijing Zhou , Murray Patterson

The COVID-19 pandemic so far has caused huge negative impacts on different areas all over the world, and the United States (US) is one of the most affected countries. In this paper, we use methods from the functional data analysis to look…

Applications · Statistics 2020-09-22 Chen Tang , Tiandong Wang , Panpan Zhang

The COVID-19 infodemic, characterized by the rapid spread of misinformation and unverified claims related to the pandemic, presents a significant challenge. This paper presents a comparative analysis of the COVID-19 infodemic in the English…

Social and Information Networks · Computer Science 2023-11-15 Jia Luo , Daiyun Peng , Lei Shi , Didier El Baz , Xinran Liu

On February 2, 2020, the World Health Organization declared a COVID-19 social media "infodemic", with special attention to misinformation -- frequently understood as false claims. To understand the infodemic's scope and scale, we analyzed…

Social and Information Networks · Computer Science 2021-03-30 David A. Broniatowski , Daniel Kerchner , Fouzia Farooq , Xiaolei Huang , Amelia M. Jamison , Mark Dredze , Sandra Crouse Quinn

The onset of the COVID-19 pandemic led to a global infodemic that has brought unprecedented challenges for citizens, media, and fact-checkers worldwide. To address this challenge, over a hundred fact-checking initiatives worldwide have been…

Computers and Society · Computer Science 2024-04-25 Iknoor Singh , Kalina Bontcheva , Carolina Scarton

The rapid evolution of the COVID-19 pandemic has underscored the need to quickly disseminate the latest clinical knowledge during a public-health emergency. One surprisingly effective platform for healthcare professionals (HCPs) to share…

Social and Information Networks · Computer Science 2021-06-29 Julia Wu , Venkatesh Sivaraman , Dheekshita Kumar , Juan M. Banda , David Sontag

The ongoing COVID-19 pandemic continues to affect communities around the world. To date, almost 6 million people have died as a consequence of COVID-19, and more than one-quarter of a billion people are estimated to have been infected…

In the context of journalism, the COVID-19 pandemic brought unprecedented challenges, necessitating rapid adaptations in newsrooms. Data journalism emerged as a pivotal approach for effectively conveying complex information to the public.…

Social and Information Networks · Computer Science 2024-01-29 Benedict Witzenberger , Jürgen Pfeffer

Social media has become an important communication channel during high impact events, such as the COVID-19 pandemic. As misinformation in social media can rapidly spread, creating social unrest, curtailing the spread of misinformation…

The coronavirus pandemic (COVID-19) is probably the most disruptive global health disaster in recent history. It negatively impacted the whole world and virtually brought the global economy to a standstill. However, as the virus was…

Information Retrieval · Computer Science 2024-01-18 Oluwaseun Ajao , Ashish Garg , Marjory Da Costa-Abreu

This paper discusses the aspects of data reliability and user privacy for the emerging practice of mobile phone based contact tracing for the COVID-19 pandemic. Various countries and large technology companies have already used or plan to…

Cryptography and Security · Computer Science 2020-06-02 Georgios Magklaras , Lucia Nikolaia Lopez Bojorquez