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Related papers: A Note on Early Epidemiological Analysis of Corona…

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COVID-19 is highly transmissible and containing outbreaks requires a rapid and effective response. Because infection may be spread by people who are pre-symptomatic or asymptomatic, substantial undetected transmission is likely to occur…

The 2019 coronavirus disease (COVID-19), emerged late December 2019 in China, is now rapidly spreading across the globe. At the time of writing this paper, the number of global confirmed cases has passed two millions and half with over…

Social and Information Networks · Computer Science 2020-04-24 Sarah Alqurashi , Ahmad Alhindi , Eisa Alanazi

Rapid advances in image processing capabilities have been seen across many domains, fostered by the application of machine learning algorithms to "big-data". However, within the realm of medical image analysis, advances have been curtailed,…

Computer Vision and Pattern Recognition · Computer Science 2019-09-05 Silas Ørting , Andrew Doyle , Arno van Hilten , Matthias Hirth , Oana Inel , Christopher R. Madan , Panagiotis Mavridis , Helen Spiers , Veronika Cheplygina

Millions of people have died all across the world because of the COVID-19 outbreak. Researchers worldwide are working together and facing many challenges to bring out the proper vaccines to prevent this infectious virus. Therefore, in this…

Computers and Society · Computer Science 2021-12-03 Linta Islam , Mafizur Rahman , Nabila Ahmad , Tasnia Sharmin , Jannatul Ferdous Sorna

Some of the key questions of interest during the COVID-19 pandemic (and all outbreaks) include: where did the disease start, how is it spreading, who is at risk, and how to control the spread. There are a large number of complex factors…

Populations and Evolution · Quantitative Biology 2020-09-22 Aniruddha Adiga , Jiangzhuo Chen , Madhav Marathe , Henning Mortveit , Srinivasan Venkatramanan , Anil Vullikanti

We discuss several issues of statistical design, data collection, analysis, communication, and decision making that have arisen in recent and ongoing coronavirus studies, focusing on tools for assessment and propagation of uncertainty. This…

Applications · Statistics 2020-06-17 Jon Zelner , Julien Riou , Ruth Etzioni , Andrew Gelman

Controversial understandings of the coronavirus pandemic have turned data visualizations into a battleground. Defying public health officials, coronavirus skeptics on US social media spent much of 2020 creating data visualizations showing…

Human-Computer Interaction · Computer Science 2021-01-21 Crystal Lee , Tanya Yang , Gabrielle Inchoco , Graham M. Jones , Arvind Satyanarayan

COVID-19 has been devastating the world since the end of 2019 and has continued to play a significant role in major national and worldwide events, and consequently, the news. In its wake, it has left no life unaffected. Having earned the…

Social and Information Networks · Computer Science 2021-04-23 Shayan Fazeli , Davina Zamanzadeh , Anaelia Ovalle , Thu Nguyen , Gilbert Gee , Majid Sarrafzadeh

While COVID-19 has impacted humans for a long time, people search the web for pandemic-related information, causing anxiety. From a theoretic perspective, previous studies have confirmed that the number of COVID-19 cases can cause negative…

Computers and Society · Computer Science 2022-11-17 Linjiang Guo , Zijian Feng , Yuxue Chi , Mingzhu Wang , Yijun Liu

COVID-19 has spread all over the world, having an enormous effect on our daily life and work. In response to the epidemic, a lot of important decisions need to be taken to save communities and economies worldwide. Data clearly plays a vital…

Social and Information Networks · Computer Science 2022-02-24 Shuo Yu , Qing Qing , Chen Zhang , Ahsan Shehzad , Giles Oatley , Feng Xia

Since the beginning of 2020, the coronavirus disease 2019 (COVID-19) has spread rapidly in the city of Wuhan, P.R. China, and subsequently, across the world. The swift spread of the virus is largely attributed to its stealth transmissions…

Applications · Statistics 2020-04-06 Grace Yi , Wenqing He , Dennis Kon-Jin Lin , Chun-Ming Yu

COVID-19 has disrupted the global economy and well-being of people at an unprecedented scale and magnitude. To contain the disease, an effective early warning system that predicts the locations of outbreaks is of crucial importance. Studies…

Social and Information Networks · Computer Science 2020-10-27 Takahiro Yabe , Kota Tsubouchi , Satish V Ukkusuri

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

One of the most important incidents in the world in 2020 is the outbreak of the Coronavirus. Users on social networks publish a large number of comments about this event. These comments contain important hidden information of public opinion…

Computation and Language · Computer Science 2021-10-06 Fatemeh Salmani , Hamed Vahdat-Nejad , Hamideh Hajiabadi

Since the beginning of coronavirus, the disease has spread worldwide and drastically changed many aspects of the human's lifestyle. Twitter as a powerful tool can help researchers measure public health in response to COVID-19. According to…

Computation and Language · Computer Science 2021-10-15 Mohamad Zamini

Since the coronavirus disease (COVID-19) outbreak in December 2019, studies have been addressing diverse aspects in relation to COVID-19 and Variant of Concern 202012/01 (VOC 202012/01) such as potential symptoms and predictive tools.…

Machine Learning · Computer Science 2021-02-02 Wasiq Khan , Abir Hussain , Sohail Ahmed Khan , Mohammed Al-Jumailey , Raheel Nawaz , Panos Liatsis

The COVID-19 outbreak was initially reported in Wuhan, China, and it has been declared as a Public Health Emergency of International Concern (PHEIC) on 30 January 2020 by WHO. It has now spread to over 180 countries, and it has gradually…

Applications · Statistics 2021-05-04 Jiawei Long

Emerging infectious diseases are existential threats to human health and global stability. The recent outbreaks of the novel coronavirus COVID-19 have rapidly formed a global pandemic, causing hundreds of thousands of infections and huge…

Applications · Statistics 2020-06-02 Chuansai Zhou , Wen Yuan , Jun Wang , Haiyong Xu , Yong Jiang , Xinmin Wang , Qiuzi Han Wen , Pingwen Zhang

After the sudden outbreak of Coronavirus in Wuhan, continuous and rich data of the epidemic has been made public as the vital fact for decision support in control measures and aggressive implementation of containment strategies and plans.…

Populations and Evolution · Quantitative Biology 2020-03-16 Jun Zhang , Lihong Wang , Ji Wang

Early outbreak data analysis is critical for informing about their potential impact and interventions. However, data obtained early in outbreaks are often sensitive and subject to strict privacy restrictions. Thus, federated analysis, which…

Applications · Statistics 2026-01-27 Simon Busch-Moreno , Moritz U. G. Kraemer