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Related papers: Open Data Resources for Fighting COVID-19

200 papers

There is growing interest in technology-enabled contact tracing, the process of identifying potentially infected COVID-19 patients by notifying all recent contacts of an infected person. Governments, technology companies, and research…

Cryptography and Security · Computer Science 2020-12-18 Lucy Simko , Ryan Calo , Franziska Roesner , Tadayoshi Kohno

In addition to its public health crisis, COVID-19 pandemic has led to the shutdown and closure of workplaces with an estimated total cost of more than $16 trillion. Given the long hours an average person spends in buildings and indoor…

Systems and Control · Electrical Eng. & Systems 2022-12-29 Ashkan Haji Hosseinloo , Saleh Nabi , Anette Hosoi , Munther A. Dahleh

A primary indicator of success in the fight against COVID-19 is avoiding stress on critical care infrastructure and services (CCIS). However, CCIS will likely remain stressed until sustained herd immunity is built. There are also secondary…

Computers and Society · Computer Science 2020-07-27 Ashlesha Nesarikar , Waqas Haque , Suchith Vuppala , Abhijit Nesarikar

Understanding the characteristics of public attention and sentiment is an essential prerequisite for appropriate crisis management during adverse health events. This is even more crucial during a pandemic such as COVID-19, as primary…

Social and Information Networks · Computer Science 2020-11-03 Oguzhan Gencoglu , Mathias Gruber

The very first infected novel coronavirus case (COVID-19) was found in Hubei, China in Dec. 2019. The COVID-19 pandemic has spread over 214 countries and areas in the world, and has significantly affected every aspect of our daily lives. At…

Computers and Society · Computer Science 2021-07-30 Quoc-Viet Pham , Dinh C. Nguyen , Thien Huynh-The , Won-Joo Hwang , Pubudu N Pathirana

The COVID-19 pandemic response relied heavily on statistical and machine learning models to predict key outcomes such as case prevalence and fatality rates. These predictions were instrumental in enabling timely public health interventions…

In their response to the COVID-19 outbreak, governments face the dilemma to balance public health and economy. Mobility plays a central role in this dilemma because the movement of people enables both economic activity and virus spread. We…

Timely prediction of the COVID-19 progression is not possible without a comprehensive understanding of environmental factors that may affect the infection transmissibility. Studies addressing parameters that may influence COVID-19…

Populations and Evolution · Quantitative Biology 2021-03-30 Igor Salom , Andjela Rodic , Ognjen Milicevic , Dusan Zigic , Magdalena Djordjevic , Marko Djordjevic

Analytical descriptions of patterns concerning spread and fatality during an epidemic, covering natural as well as restriction periods, are important for reducing damage. We employ a scaling model to investigate this aspect in the real data…

Physics and Society · Physics 2023-10-25 Subir K. Das

One of the defining moments of the year 2020 is the outbreak of Coronavirus Disease (Covid-19), a deadly virus affecting the body's respiratory system to the point of needing a breathing aid via ventilators. As of June 21, 2020 there are…

Information Retrieval · Computer Science 2020-07-21 Isa Inuwa-Dutse , Ioannis Korkontzelos

Technology is uniquely positioned to help us analyze large amounts of information to provide valuable insight during widespread public health concerns, like the ongoing COVID-19 pandemic. In fact, information technology companies like Apple…

Computers and Society · Computer Science 2020-06-15 Jayati Dev

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

Since the emergence of COVID-19, deep learning models have been developed to identify COVID-19 from chest X-rays. With little to no direct access to hospital data, the AI community relies heavily on public data comprising numerous data…

Computer Vision and Pattern Recognition · Computer Science 2021-09-17 Rachael Harkness , Geoff Hall , Alejandro F Frangi , Nishant Ravikumar , Kieran Zucker

Coronavirus outbreak is one of the most challenging pandemics for the entire human population of the planet Earth. Techniques such as the isolation of infected persons and maintaining social distancing are the only preventive measures…

Social and Information Networks · Computer Science 2020-09-01 Rahul Mishra , Hari Prabhat Gupta , Tanima Dutta

The outbreak of the novel Coronavirus Disease (COVID-19) has greatly influenced people's daily lives across the globe. Emergent measures and policies (e.g., lockdown, social distancing) have been taken by governments to combat this highly…

Information Retrieval · Computer Science 2020-07-07 Hui Yin , Shuiqiao Yang , Jianxin Li

At the time of this writing, the novel coronavirus (COVID-19) pandemic outbreak has already put tremendous strain on many countries' citizens, resources and economies around the world. Social distancing measures, travel bans,…

Social and Information Networks · Computer Science 2020-06-04 Emily Chen , Kristina Lerman , Emilio Ferrara

The coronavirus disease 2019 (COVID-19) is a severe global pandemic that has claimed millions of lives and continues to overwhelm public health systems in many countries. The spread of COVID-19 pandemic has negatively impacted the human…

The rapid spread of the Coronavirus SARS-2 is a major challenge that led almost all governments worldwide to take drastic measures to respond to the tragedy. Chief among those measures is the massive lockdown of entire countries and cities,…

Computers and Society · Computer Science 2020-06-15 Salah Ghamizi , Renaud Rwemalika , Lisa Veiber , Maxime Cordy , Tegawende F. Bissyande , Mike Papadakis , Jacques Klein , Yves Le Traon

This paper addresses statistical modelling and forecasting of key indicators describing the severity of a developing pandemic, using routinely reported daily counts of infections, hospitalizations, deaths (both in and out of hospital), and…

Spatiotemporal modelling of infectious diseases such as COVID-19 involves using a variety of epidemiological metrics such as regional proportion of cases or regional positivity rates. Although observing their changes over time is critical…

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