[HTML][HTML] Application of big data and artificial intelligence in epidemic surveillance and containment

Z Jiao, H Ji, J Yan, X Qi - Intelligent medicine, 2023‏ - Elsevier
Faced with the current time-sensitive COVID-19 pandemic, the overburdened healthcare
systems have resulted in a strong demand to develop newer methods to control the spread …

Contagion modeling and simulation in transport and air travel networks during the COVID-19 pandemic: a survey

F Riquelme, A Aguilera, A Inostrosa-Psijas - IEEE Access, 2021‏ - ieeexplore.ieee.org
The COVID-19 pandemic has generated a huge volume of research from various
disciplines, such as health sciences, social sciences, mathematical modeling, social network …

Predicting COVID-19 community infection relative risk with a Dynamic Bayesian Network

DP Johnson, V Lulla - Frontiers in Public Health, 2022‏ - frontiersin.org
As COVID-19 continues to impact the United States and the world at large it is becoming
increasingly necessary to develop methods which predict local scale spread of the disease …

On the generalization discrepancy of spatiotemporal dynamics-informed graph convolutional networks

Y Sun, C Chen, Y Xu, S **e, RS Blum… - Frontiers in …, 2024‏ - frontiersin.org
Graph neural networks (GNNs) have gained significant attention in diverse domains,
ranging from urban planning to pandemic management. Ensuring both accuracy and …

Incorporating Domain Differential Equations into Graph Convolutional Networks to Lower Generalization Discrepancy

Y Sun, C Chen, Y Xu, S **e, RS Blum… - arxiv preprint arxiv …, 2024‏ - arxiv.org
Ensuring both accuracy and robustness in time series prediction is critical to many
applications, ranging from urban planning to pandemic management. With sufficient training …

Modeling of various spatial patterns of SARS-CoV-2: the case of Germany

A Mościcka, A Araszkiewicz, J Wabiński… - Journal of Clinical …, 2021‏ - mdpi.com
Among numerous publications about the SARS-CoV-2, many articles present research from
the geographic point of view. The cartographic research method used in this area of science …

[PDF][PDF] Exploring machine learning in healthcare and its impact on the sars-cov-2 outbreak

D James, T James - Asian Journal of Applied Science and …, 2021‏ - researchgate.net
Machine learning can be defined as a comprehensive range of tools utilized for recognizing
patterns in data. Owing to its reliance on artificial intelligence in lieu of age-old, traditional …

A generalized forecasting solution to enable future insights of COVID-19 at sub-national level resolutions

U Marikkar, H Weligampola, R Perera, J Hassan… - arxiv preprint arxiv …, 2021‏ - arxiv.org
COVID-19 continues to cause a significant impact on public health. To minimize this impact,
policy makers undertake containment measures that however, when carried out …