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COVID-19 has resulted in a worldwide pandemic, leading to "lockdown" policies and social distancing. The pandemic has profoundly changed the world. Traditional methods for observing these historical events are difficult because sending…

The COVID-19 pandemic provides new motivation for a classic problem in epidemiology: estimating the empirical rate of transmission during an outbreak (formally, the time-varying reproduction number) from case counts. While standard methods…

Methodology · Statistics 2020-12-08 Bryan Wilder , Michael J. Mina , Milind Tambe

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

Novel coronavirus-19 (2019-nCoV or COVID-19) is by far the most dangerous coronavirus ever identified for the third time in the three decades capable of infecting not only the animals but also the humans across the globe. Nearly 6000 deaths…

Computers and Society · Computer Science 2020-04-28 Muhammad Lawan Jibril , Usman Sani Sharif

The dramatic outbreak of the coronavirus disease 2019 (COVID-19) pandemics and its ongoing progression boosted the scientific community's interest in epidemic modeling and forecasting. The SIR (Susceptible-Infected-Removed) model is a…

Populations and Evolution · Quantitative Biology 2021-02-24 Dimiter Prodanov

Early, reliable detection of disease outbreaks is a critical problem today. This paper reports an investigation of the use of causal Bayesian networks to model spatio-temporal patterns of a non-contagious disease (respiratory anthrax…

Applications · Statistics 2012-07-19 Gregory F. Cooper , Denver Dash , John Levander , Weng-Keen Wong , William Hogan , Michael Wagner

The COVID-19 pandemic has highlighted the need to upgrade systems for infectious disease surveillance and forecasting and modeling of the spread of infection, both of which inform evidence-based public health guidance and policies. Here, we…

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

In this demonstration, we present a privacy-preserving epidemic surveillance system. Recently, many countries that suffer from coronavirus crises attempt to access citizen's location data to eliminate the outbreak. However, it raises…

Databases · Computer Science 2020-06-09 Yang Cao , Shun Takagi , Yonghui Xiao , Li Xiong , Masatoshi Yoshikawa

The coronavirus disease 2019 (COVID-19) has become a public health emergency of international concern affecting more than 200 countries and territories worldwide. As of September 30, 2020, it has caused a pandemic outbreak with more than 33…

Populations and Evolution · Quantitative Biology 2020-10-13 Tanujit Chakraborty , Indrajit Ghosh , Tirna Mahajan , Tejasvi Arora

To control the current outbreak of the Coronavirus Disease 2019, constant monitoring of the epidemic is required since, as of today, no vaccines or antiviral drugs against it are known. We provide daily updated estimates of the reproduction…

Populations and Evolution · Quantitative Biology 2020-04-21 Thomas Hotz , Matthias Glock , Stefan Heyder , Sebastian Semper , Anne Böhle , Alexander Krämer

Infectious disease outbreak has a significant impact on morbidity, mortality and can cause economic instability of many countries. As global trade is growing, goods and individuals are expected to travel across the border, an infected…

Information Retrieval · Computer Science 2021-06-17 Muhammad Nasir , Maheen Bakhtyar , Junaid Baber , Sadia Lakho , Bilal Ahmed , Waheed Noor

Rapid and affordable methods of summarizing the multitude of data relating to the pandemic can be useful to health authorities and policy makers who are dealing with the COVID-19 pandemic at various levels in the territories affected by…

Computers and Society · Computer Science 2021-01-12 Raffaele Zenti

Identifying structural change is a crucial step in analysis of time series and panel data. The longer the time span, the higher the likelihood that the model parameters have changed as a result of major disruptive events, such as the…

Econometrics · Economics 2025-01-23 Jan Ditzen , Yiannis Karavias , Joakim Westerlund

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

In recent years social and news media have increasingly been used to explain patterns in disease activity and progression. Social media data, principally from the Twitter network, has been shown to correlate well with official disease case…

Social and Information Networks · Computer Science 2015-04-17 Donal Simmie , Nicholas Thapen , Chris Hankin

We present a mobile app solution to help the containment of an epidemic outbreak by keeping track of possible infections in the incubation period. We consider the particular case of an infection which primarily spreads among people through…

Computers and Society · Computer Science 2020-04-06 Marco Faggian , Michele Urbani , Luca Zanotto

After COVID-19 was first reported in China at the end of 2019, it took only a few months for this local crisis to turn into a global pandemic with unprecedented disruptions of everyday life. However, at any moment in time the situation in…

Data Analysis, Statistics and Probability · Physics 2021-03-16 Thomas Kreuz

The COVID-19 outbreak has dramatically changed travel behavior in affected cities. The C2SMART research team has been investigating the impact of COVID-19 on mobility and sociability. New York City (NYC) and Seattle, two of the cities most…

Human-Computer Interaction · Computer Science 2020-06-29 Fan Zuo , Jingxing Wang , Jingqin Gao , Kaan Ozbay , Xuegang Jeff Ban , Yubin Shen , Hong Yang , Shri Iyer

Vaccination and outbreak monitoring are essential tools for preventing and minimizing outbreaks of infectious diseases. Targeted strategies, where the individuals most important for monitoring or preventing outbreaks are selected for…

Physics and Society · Physics 2016-03-04 Enys Mones , Arkadiusz Stopczynski , Alex Pentland , Nathaniel Hupert , Sune Lehmann
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