Privacy-enhancing digital contact tracing with machine learning for pandemic response: A comprehensive review
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 …
life worldwide. As potential solutions, various digital contact tracing (DCT) strategies have …
Proactive contact tracing
The COVID-19 pandemic has spurred an unprecedented demand for interventions that can
reduce disease spread without excessively restricting daily activity, given negative impacts …
reduce disease spread without excessively restricting daily activity, given negative impacts …
Effectiveness of probabilistic contact tracing in epidemic containment: The role of superspreaders and transmission path reconstruction
The recent COVID-19 pandemic underscores the significance of early stage
nonpharmacological intervention strategies. The widespread use of masks and the …
nonpharmacological intervention strategies. The widespread use of masks and the …
Generalizing in the Real World with Representation Learning
T Maharaj - arXiv preprint arXiv:2210.09925, 2022 - arxiv.org
Machine learning (ML) formalizes the problem of getting computers to learn from experience
as optimization of performance according to some metric (s) on a set of data examples. This …
as optimization of performance according to some metric (s) on a set of data examples. This …
Geospatial Tessellation in the Agent-In-Cell Model: A Framework for Agent-Based Modeling of Pandemic
AME Sikaroudi, A Efrat, M Chertkov - arXiv preprint arXiv:2309.07055, 2023 - arxiv.org
Agent-based simulation is a versatile and potent computational modeling technique
employed to analyze intricate systems and phenomena spanning diverse fields. However …
employed to analyze intricate systems and phenomena spanning diverse fields. However …
HMES: A Scalable Human Mobility and Epidemic Simulation System with Fast Intervention Modeling
Recently, the world has witnessed the most severe pandemic (COVID-19) in this century.
Studies on epidemic prediction and simulation have received increasing attention. However …
Studies on epidemic prediction and simulation have received increasing attention. However …
[PDF][PDF] Statistical physics and epidemic inference: methods and applications
F Mazza - 2023 - tesidottorato.depositolegale.it
Performing epidemic inference at the individual scale is a difficult task because of the
complex interactions that are present. As the size of the considered system grows, its …
complex interactions that are present. As the size of the considered system grows, its …
Object-Process Methodology for Intelligent System Development
VP Dorofeev - Advances in Neural Computation, Machine Learning …, 2022 - Springer
Abstract Development of the new artificial systems with unique characteristics is very
challenging task. In this paper the application of the hybrid super intelligence concept with …
challenging task. In this paper the application of the hybrid super intelligence concept with …
Development of machine learning-based intelligent COVID-19 contact tracing tools
W Kosasih - 2022 - era.library.ualberta.ca
With the easing of COVID-19 regulations in Alberta, people are gradually back to their
normal life. However, we cannot be careless, since there is a possibility for a new variant …
normal life. However, we cannot be careless, since there is a possibility for a new variant …
[PDF][PDF] A Brief Summary on Covid-19 Pandemic and Machine Learning Approaches
E Korkmaz - ezgikorkmaz.github.io
Beginning in 2019 the world has been under the effect of a global pandemic caused by
SARS-CoV-2 infecting over 134 million people, resulting in approximately three million …
SARS-CoV-2 infecting over 134 million people, resulting in approximately three million …