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相关论文: How Efficient is Contact Tracing in Mitigating the…

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COVID-19 remains a challenging global threat with ongoing waves of infections and clinical disease which have resulted millions of deaths and an enormous strain on health systems worldwide. Effective vaccines have been developed for the…

Contact tracing has been extensively studied from different perspectives in recent years. However, there is no clear indication of why this intervention has proven effective in some epidemics (SARS) and mostly ineffective in some others…

社会与信息网络 · 计算机科学 2021-03-01 Quyu Kong , Manuel Garcia-Herranz , Ivan Dotu , Manuel Cebrian

After the blockade that many nations suffered to stop the growth of the incidence curve of COVID-19 during the first half of 2020, they face the challenge of resuming their social and economic activity. The rapid airborne transmissibility…

Tracing potentially infected contacts of confirmed cases is important when fighting outbreaks of many infectious diseases. The COVID-19 pandemic has motivated researchers to examine how different contact tracing strategies compare in terms…

种群与进化 · 定量生物学 2022-07-01 Jonas L. Juul , Steven H. Strogatz

Contact tracing is one of the most important tools for preventing the spread of infectious diseases, but as the experience of COVID-19 showed, it is also next-to-impossible to implement when the disease is spreading rapidly. We show how to…

统计方法学 · 统计学 2023-12-12 Aparajithan Venkateswaran , Jishnu Das , Tyler H. McCormick

Contact tracing, the practice of isolating individuals who have been in contact with infected individuals, is an effective and practical way of containing disease spread. Here, we show that this strategy is particularly effective in the…

物理与社会 · 物理学 2024-02-12 Abbas K. Rizi , Leah A. Keating , James P. Gleeson , David J. P. O'Sullivan , Mikko Kivelä

We analyze the effect of using a screening CT-scan for evaluation of potential COVID-19 infections in order to isolate and perform contact tracing based upon a viral pneumonia diagnosis. RT-PCR is then used for continued isolation based…

种群与进化 · 定量生物学 2020-06-04 Chen Shen , Ron Mark , Nolan J. Kagetsu , Anton S. Becker , Yaneer Bar-Yam

With more than 1.7 million COVID-19 deaths, identifying effective measures to prevent COVID-19 is a top priority. We developed a mathematical model to simulate the COVID-19 pandemic with digital contact tracing and testing strategies. The…

社会与信息网络 · 计算机科学 2020-12-29 Daniel Xu

Contacts between people are the absolute drivers of contagious respiratory infections. For this reason, limiting and tracking contacts is a key strategy for the control of the COVID-19 epidemic. Digital contact tracing has been proposed as…

计算机与社会 · 计算机科学 2022-12-01 Chiara Boldrini , Andrea Passarella , Marco Conti

One of the more widely advocated solutions for slowing down the spread of COVID-19 has been automated contact tracing. Since proximity data can be collected by personal mobile devices, the natural proposal has been to use this for automated…

种群与进化 · 定量生物学 2023-10-09 Hyunju Kim , Ayan Paul

In the absence of any available vaccines or drugs, prevention of the spread of Coronavirus Disease 2019 (COVID-19) pandemic is being achieved by putting many mitigation measures in place. It is indispensable to have robust and reliable ways…

种群与进化 · 定量生物学 2020-04-17 Gaurav Goswami , Jayanti Prasad , Mansi Dhuria

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

The coronavirus (COVID-19) has appeared as the greatest challenge due to its continuous structural evolution as well as the absence of proper antidotes for this particular virus. The virus mainly spreads and replicates itself among mass…

计算机与社会 · 计算机科学 2020-07-07 Md. Tanvir Rahman , Risala T. Khan , Muhammad R. A. Khandaker , Md. Sifat Ar Salan

In this article, we investigate the importance of demographic and contact patterns in determining the spread of COVID-19 and to the effectiveness of social distancing policies. We investigate these questions proposing an augmented…

种群与进化 · 定量生物学 2022-05-12 M. A. Ridenti , L. K. Teles , A. Maranhão , V. K. Teles

In this study, we analyze the effectiveness of measures aimed at finding and isolating infected individuals to contain epidemics like COVID-19, as the suppression induced over the effective reproduction number. We develop a mathematical…

种群与进化 · 定量生物学 2021-10-22 Andrea Maiorana , Marco Meneghelli , Mario Resnati

Contact-tracing is an essential tool in order to mitigate the impact of pandemic such as the COVID-19. In order to achieve efficient and scalable contact-tracing in real time, digital devices can play an important role. While a lot of…

Discovering and isolating infected individuals is a cornerstone of epidemic control. Because many infectious diseases spread through close contacts, contact tracing is a key tool for case discovery and control. However, although contact…

种群与进化 · 定量生物学 2021-05-26 Sadamori Kojaku , Laurent Hébert-Dufresne , Enys Mones , Sune Lehmann , Yong-Yeol Ahn

One of the key indicators used in tracking the evolution of an infectious disease isthe reproduction number. This quantity is usually computed using the reportednumber of cases, but ignoring that many more individuals may be infected…

种群与进化 · 定量生物学 2020-09-11 Andrea De Simone , Marco Piangerelli

We outline a contact-tracing strategy based on proximity sensing using mobile devices. We discuss what an ideal system should look like and what it can do. We show that, when adopted sufficiently broadly, such a contact-tracing strategy can…

计算机与社会 · 计算机科学 2020-04-28 Ye Xia , Gwendolyn Lee

The recent COVID-19 pandemic underscores the significance of early-stage non-pharmacological intervention strategies. The widespread use of masks and the systematic implementation of contact tracing strategies provide a potentially equally…

种群与进化 · 定量生物学 2024-09-02 A. P. Muntoni , F. Mazza , A. Braunstein , G. Catania , L. Dall'Asta
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