[PDF][PDF] Towards the detection and visual analysis of COVID-19 infection clusters

D Antweiler, D Sessler, S Ginzel… - EuroVis workshop on …, 2021 - diglib.eg.org
A major challenge for departments of public health (DPHs) in dealing with the ongoing
COVID-19 pandemic is tracing contacts in exponentially growing SARS-CoV2 infection …

Uncovering chains of infections through spatio-temporal and visual analysis of COVID-19 contact traces

D Antweiler, D Sessler, M Rossknecht, B Abb… - Computers & …, 2022 - Elsevier
A major challenge for departments of public health (DPHs) in dealing with the ongoing
COVID-19 pandemic is tracing contacts in exponentially growing SARS-CoV-2 infection …

Mining relationships between transmission clusters from contact tracing data: An application for investigating COVID-19 outbreak

TH Kwan, NS Wong, EK Yeoh… - Journal of the American …, 2021 - academic.oup.com
Objective Contact tracing of reported infections could enable close contacts to be identified,
tested, and quarantined for controlling further spread. This strategy has been well …

COVID-19 Community Temporal Visualizer: A new methodology for the network-based analysis and visualization of COVID-19 data

M Milano, C Zucco, M Cannataro - Network Modeling Analysis in Health …, 2021 - Springer
Understanding the evolution of the spread of the COVID-19 pandemic requires the analysis
of several data at the spatial and temporal levels. Here, we present a new network-based …

Clustering based contact tracing analysis and prediction of SARS-CoV-2 infections

M Gupta, R Kumar, S Chawla, S Mishra… - … Endorsed Transactions on …, 2021 - eudl.eu
INTRODUCTION: Contact tracing is a method to track the victims, which have been infected
from the host with any particular disease. Therefore, clustering based machine learning …

[HTML][HTML] Predicting COVID-19 incidence in French hospitals using human contact network analytics

C Selinger, M Choisy, S Alizon - International Journal of Infectious Diseases, 2021 - Elsevier
Background COVID-19 was first detected in Wuhan, China, in 2019 and spread worldwide
within a few weeks. The COVID-19 epidemic started to gain traction in France in March …

[PDF][PDF] The evolving ecosystem of COVID-19 contact tracing applications

B Levy, M Stewart - arXiv preprint arXiv:2103.10585, 2021 - assets.pubpub.org
Since the outbreak of the novel coronavirus, COVID-19, there has been significant interest in
the use of digital contact tracing as a means of stopping chains of viral transmission …

I-CovidVis–A visual analytics tool for interoperable healthcare databases using graphs

CDG Linhares, DM Lima, CC Bones… - 2021 IEEE 34th …, 2021 - ieeexplore.ieee.org
The current COVID-19 pandemic has promoted the periodic release of several health
databases aimed at discovering relationships in the data, detecting similar problems in …

[PDF][PDF] Contact Tracing: a game of big numbers in the time of COVID-19

H Kim, A Paul - MedRxiv, 2020 - qiniu.pattern.swarma.org
One of the more widely advocated solutions to slowing down the spread of COVID-19 has
been automated contact tracing. Since proximity data can be collected by personal mobile …

Contact tracing during Phase I of the COVID-19 pandemic in the Province of Trento, Italy: key findings and recommendations

P Fateh-Moghadam, L Battisti, S Molinaro, S Fontanari… - MedRxiv, 2020 - medrxiv.org
Introduction Contact tracing is a key pillar of COVID-19 control. In response to the COVID-19
epidemic in the Autonomous Province of Trento (Italy) a software was developed to …