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Several researches and evidence show the increasing likelihood of pandemics (large-scale outbreaks of infectious disease) which has far reaching sequels in all aspects of human lives ranging from rapid mortality rates to economic and social…

机器学习 · 计算机科学 2021-04-06 Shreya Ghosh , Anwesha Mukherjee , Soumya K Ghosh , Rajkumar Buyya

One of the deadliest pandemics is now happening in the current world due to COVID-19. This contagious virus is spreading like wildfire around the whole world. To minimize the spreading of this virus, World Health Organization (WHO) has made…

计算机视觉与模式识别 · 计算机科学 2025-12-03 Abdullah Al Asif , Farhana Chowdhury Tisha

To slow down the spread of COVID-19, governments around the world are trying to identify infected people and to contain the virus by enforcing isolation and quarantine. However, it is difficult to trace people who came into contact with an…

密码学与安全 · 计算机科学 2020-06-25 Md Whaiduzzaman , Md. Razon Hossain , Ahmedur Rahman Shovon , Shanto Roy , Aron Laszka , Rajkumar Buyya , Alistair Barros

With COVID-19 affecting every country globally and changing everyday life, the ability to forecast the spread of the disease is more important than any previous epidemic. The conventional methods of disease-spread modeling, compartmental…

机器学习 · 统计学 2022-08-19 Benjamin Lucas , Behzad Vahedi , Morteza Karimzadeh

Health organizations advise social distancing, wearing face mask, and avoiding touching face to prevent the spread of coronavirus. Based on these protective measures, we developed a computer vision system to help prevent the transmission of…

计算机视觉与模式识别 · 计算机科学 2022-12-16 Fevziye Irem Eyiokur , Hazım Kemal Ekenel , Alexander Waibel

COVID-19 pandemic has brought the whole world to a stand-still over the last few months. In particular the pace at which pandemic has spread has taken everybody off-guard. The Governments across the world have responded by imposing…

机器学习 · 计算机科学 2020-08-19 Shreekanth M. Prabhu , Natarajan Subramaniam

Predicting the spread and containment of COVID-19 is a challenge of utmost importance that the broader scientific community is currently facing. One of the main sources of difficulty is that a very limited amount of daily COVID-19 case data…

机器学习 · 计算机科学 2020-04-21 Hanbaek Lyu , Christopher Strohmeier , Georg Menz , Deanna Needell

With the spiraling pandemic of the Coronavirus Disease 2019 (COVID-19), it has becoming inherently important to disseminate accurate and timely information about the disease. Due to the ubiquity of Internet connectivity and smart devices,…

社会与信息网络 · 计算机科学 2020-05-26 Md Tahmid Rashid , Dong Wang

The spread of diseases has been studied for many years, but it receives a particular focus recently due to the outbreak and spread of COVID-19. Studies show that the spread of COVID-19 can be characterized by the…

机器学习 · 计算机科学 2022-04-12 Xiaoxu Zhong , Yukun Ye

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…

计算机与社会 · 计算机科学 2021-12-03 Linta Islam , Mafizur Rahman , Nabila Ahmad , Tasnia Sharmin , Jannatul Ferdous Sorna

The Coronavirus Disease 2019 (COVID-19) pandemic has caused tremendous amount of deaths and a devastating impact on the economic development all over the world. Thus, it is paramount to control its further transmission, for which purpose it…

应用统计 · 统计学 2021-01-11 Quan-Lin Li , Chengliang Wang , Yiming Xu , Chi Zhang , Yanxia Chang , Xiaole Wu , Zhen-Ping Fan , Zhi-Guo Liu

The emergence of infectious disease COVID-19 has challenged and changed the world in an unprecedented manner. The integration of wireless networks with edge computing (namely wireless edge networks) brings opportunities to address this…

社会与信息网络 · 计算机科学 2022-10-06 Xuran Li , Shuaishuai Guo , Hong-Ning Dai , Dengwang Li

Current models of COVID-19 transmission predict infection from reported or assumed interactions. Here we leverage high-resolution observations of interaction to simulate infectious processes. Ultra-Wide Radio Frequency Identification (RFID)…

计算机与社会 · 计算机科学 2022-01-24 Yi Zhang , Yudong Tao , Mei-Ling Shyu , Lynn K. Perry , Prem R. Warde , Daniel S. Messinger , Chaoming Song

Understanding the spread of COVID-19 has been the subject of numerous studies, highlighting the significance of reliable epidemic models. Here, we introduce a novel epidemic model using a latent Hawkes process with temporal covariates for…

统计方法学 · 统计学 2022-08-16 Stamatina Lamprinakou , Axel Gandy , Emma McCoy

A contact-tracing strategy has been deemed necessary to contain the spread of COVID-19 following the relaxation of lockdown measures. Using an agent-based model, we explore one of the technology-based strategies proposed, a contact-tracing…

计算机与社会 · 计算机科学 2020-12-18 Jonatan Almagor , Stefano Picascia

Since the first coronavirus case was identified in the U.S. on Jan. 21, more than 1 million people in the U.S. have confirmed cases of COVID-19. This infectious respiratory disease has spread rapidly across more than 3000 counties and 50…

机器学习 · 计算机科学 2021-06-25 Shuang Li , Lu Wang , Xinyun Chen , Yixiang Fang , Yan Song

To accurately predict the regional spread of Covid-19 infection, this study proposes a novel hybrid model which combines a Long short-term memory (LSTM) artificial recurrent neural network with dynamic behavioral models. Several factors and…

物理与社会 · 物理学 2022-04-08 Seid Miad Zandavi , Taha Hossein Rashidi , Fatemeh Vafaee

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…

物理与社会 · 物理学 2021-02-05 Md Shahzamal , Saeed Khan

In response to the ongoing pandemic and health emergency of COVID-19, several models have been used to understand the dynamics of virus spread. Some employ mathematical models like the compartmental SEIHRD approach and others rely on…

计算几何 · 计算机科学 2024-09-10 Raunak Sarbajna , Karima Elgarroussi , Hoang D Vo , Jianyuan Ni , Christoph F. Eick

The COVID-19 pandemic and the implementation of social distancing policies have rapidly changed people's visiting patterns, as reflected in mobility data that tracks mobility traffic using location trackers on cell phones. However, the…

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