Privacy-enhancing digital contact tracing with machine learning for pandemic response: A comprehensive review

CN Hang, YZ Tsai, PD Yu, J Chen, CW Tan - Big Data and Cognitive …, 2023 - mdpi.com
The rapid global spread of the coronavirus disease (COVID-19) has severely impacted daily
life worldwide. As potential solutions, various digital contact tracing (DCT) strategies have …

Artificial intelligence in healthcare: a scoping review of perceived threats to patient rights and safety

NN Botha, CE Segbedzi, VK Dumahasi… - Archives of Public …, 2024 - Springer
Background The global health system remains determined to leverage on every workable
opportunity, including artificial intelligence (AI) to provide care that is consistent with patients' …

[HTML][HTML] Effects of user experience in automated information processing on perceived usefulness of digital contact-tracing apps: cross-sectional survey study

T Schrills, L Kojan, M Gruner, AC Valdez… - JMIR Human …, 2024 - humanfactors.jmir.org
Background: In pandemic situations, digital contact tracing (DCT) can be an effective way to
assess one's risk of infection and inform others in case of infection. DCT apps can support …

Toward Deep Digital Contact Tracing: Opportunities and Challenges

R Cherini, R Detke, J Fraire… - IEEE Pervasive …, 2023 - ieeexplore.ieee.org
During the COVID-19 pandemic, digital contact tracing using mobile devices has been
widely explored, with many proposals from academia and industry highlighting the benefits …

Statistical mechanics of inference in epidemic spreading

A Braunstein, L Budzynski, M Mariani - Physical Review E, 2023 - APS
We investigate the information-theoretical limits of inference tasks in epidemic spreading on
graphs in the thermodynamic limit. The typical inference tasks consist in computing …

Test allocation based on risk of infection from first and second order contact tracing

GB Soler, MD Felipe, G Gayraud - arXiv preprint arXiv:2311.02094, 2023 - arxiv.org
Under limited available resources, strategies for mitigating the propagation of an epidemic
such as random testing and contact tracing become inefficient. Here, we propose to …

Limitations in creating artificial populations in agent-based epidemic modeling: a systematic review

II Maslova, AI Manolov, OE Glushchenko… - Journal of …, 2024 - microbiol.crie.ru
Introduction. The key step in agent-based modeling of epidemics, which allows researchers
to take into account individual characteristics of people, is the creation of an artificial …

[PDF][PDF] Ограничения в создании искусственных популяций в агентном моделировании эпидемий: систематический обзор

ИИ Маслова, АИ Манолов, ОЕ Глущенко… - JOURNAL OF …, 2024 - simulation.su
Аннотация Введение. Ключевым этапом агентного моделирования эпидемий,
позволяющим исследователям учитывать индивидуальные особенности людей …