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Epidemics are emergent phenomena depending on the epidemiological characteristics of pathogens and the interaction and movement of people. Public transit systems have provided much important information about the movement of people, but…

Social and Information Networks · Computer Science 2018-09-24 Zhanwei Du , Chao Gao , Yuan Bai , Yongjian Yang , Petter Holme

Classical epidemiological models assume homogeneous populations. There have been important extensions to model heterogeneous populations, when the identity of the sub-populations is known, such as age group or geographical location. Here,…

Machine Learning · Computer Science 2023-02-10 Roberto Vega , Zehra Shah , Pouria Ramazi , Russell Greiner

Digital contact tracing can limit the spread of infectious diseases. Nevertheless, there remain barriers to attaining sufficient adoption. In this study, we investigate how willingness to participate in contact tracing is affected by two…

Human-Computer Interaction · Computer Science 2022-10-25 Camellia Zakaria , Pin Sym Foong , Chang Siang Lim , Pavithren V. S. Pakianathan , Gerald Huat Choon Koh , Simon Tangi Perrault

Since the global spread of Covid-19 began to overwhelm the attempts of governments to conduct manual contact-tracing, there has been much interest in using the power of mobile phones to automate the contact-tracing process through the…

Cryptography and Security · Computer Science 2020-11-10 Abbas Hammoud , Yun William Yu

Coronavirus or COVID-19, which has been declared pandemic by the World Health Organization, has incurred huge losses to the lives of people throughout the world. Although, the scientists, researchers and doctors are working round the clock…

Social and Information Networks · Computer Science 2020-12-15 Shibli Nisar , Syed Muhammad Ali Zuhaib , Abasin Ulasyar , Muhammad Tariq

Digital contact tracing is being used by many countries to help contain COVID-19's spread in a post-lockdown world. Among the various available techniques, decentralized contact tracing that uses Bluetooth received signal strength…

Computers and Society · Computer Science 2021-11-08 Hsu-Chun Hsiao , Chun-Ying Huang , Shin-Ming Cheng , Bing-Kai Hong , Hsin-Yuan Hu , Chia-Chien Wu , Jian-Sin Lee , Shih-Hong Wang , Wei Jeng

With the outbreak of COVID-19 pandemic, a dire need to effectively identify the individuals who may have come in close-contact to others who have been infected with COVID-19 has risen. This process of identifying individuals, also termed as…

Computer modeling of human decision making is of large importance for, e.g., sustainable transport, urban development, and online recommendation systems. In this paper we present a model for predicting the behavior of an individual during a…

Artificial Intelligence · Computer Science 2021-01-18 Chenda Zhang , Hedvig Kjellström

The world is currently witnessing dangerous shifts in the epidemic of emerging SARS-CoV-2, the causative agent of (COVID-19) coronavirus. The infection, and death numbers reported by World Health Organization (WHO) about this epidemic…

Cryptography and Security · Computer Science 2020-04-14 Mohamed Torky , Aboul Ella Hassanien

The COVID-19 pandemic has posed a unique challenge for the world to find solutions, ranging from vaccines to ICT solutions to slow down the virus spreading. Due to the highly contagious nature of the virus, social distancing is one…

Cryptography and Security · Computer Science 2020-04-28 Qiang Tang

It is critical to understand and model the behavior of individuals in a pandemic, as well as identify effective ways to guide people's behavior in order to better control the epidemic spread. However, current research fails to account for…

Social and Information Networks · Computer Science 2023-09-01 Wenxiang Dong , H. Vicky Zhao

As the interactions between people increases, the impending menace of COVID-19 outbreaks materialize, and there is an inclination to apply lockdowns. In this context, it is essential to have easy-to-use indicators for people to use as a…

Populations and Evolution · Quantitative Biology 2021-01-26 Joaquín Salas

Contact tracing is an effective tool in controlling the spread of infectious diseases such as COVID-19. It involves digital monitoring and recording of physical proximity between people over time with a central and trusted authority, so…

Cryptography and Security · Computer Science 2023-03-13 Craig Gotsman , Kai Hormann

Digital contact tracing apps for COVID, such as the one developed by Google and Apple, need to estimate the risk that a user was infected during a particular exposure, in order to decide whether to notify the user to take precautions, such…

Machine Learning · Computer Science 2021-07-23 Kevin Murphy , Abhishek Kumar , Stylianos Serghiou

Infectious diseases are a significant threat to human society which was over sighted before the incidence of COVID-19, although according to the report of the World Health Organisation (WHO) about 4.2 million people die annually due to…

Physics and Society · Physics 2021-02-05 Md Shahzamal , Saeed Khan

The coronavirus disease 2019 (COVID-19) pandemic continues to have a tremendous impact on patients and healthcare systems around the world. In the fight against this novel disease, there is a pressing need for rapid and effective screening…

Image and Video Processing · Electrical Eng. & Systems 2020-09-14 Hayden Gunraj , Linda Wang , Alexander Wong

The COVID-19 (coronavirus disease 2019) pandemic affected more than 186 million people with over 4 million deaths worldwide by June 2021. The magnitude of which has strained global healthcare systems. Chest Computed Tomography (CT) scans…

Image and Video Processing · Electrical Eng. & Systems 2022-02-28 Aryan Verma , Sagar B. Amin , Muhammad Naeem , Monjoy Saha

In response to the COVID-19 pandemic, Bluetooth-based contact tracing has been deployed in many countries with the help of the developers of smartphone operating systems that provide APIs for privacy-preserving exposure notification.…

Cryptography and Security · Computer Science 2021-03-16 Kenji Saito , Mitsuru Iwamura

During 2020, the infection rate of COVID-19 has been investigated by many scholars from different research fields. In this context, reliable and interpretable forecasts of disease incidents are a vital tool for policymakers to manage…

Machine Learning · Computer Science 2021-01-05 Cornelius Fritz , Emilio Dorigatti , David Rügamer