[HTML][HTML] Mathematical models for covid-19 pandemic: a comparative analysis
COVID-19 pandemic represents an unprecedented global health crisis in the last 100 years.
Its economic, social and health impact continues to grow and is likely to end up as one of the …
Its economic, social and health impact continues to grow and is likely to end up as one of the …
A survey on mathematical, machine learning and deep learning models for COVID-19 transmission and diagnosis
COVID-19 is a life threatening disease which has a enormous global impact. As the cause of
the disease is a novel coronavirus whose gene information is unknown, drugs and vaccines …
the disease is a novel coronavirus whose gene information is unknown, drugs and vaccines …
Collaborative city digital twin for the COVID-19 pandemic: A federated learning solution
The novel coronavirus, COVID-19, has caused a crisis that affects all segments of the
population. As the knowledge and understanding of COVID-19 evolve, an appropriate …
population. As the knowledge and understanding of COVID-19 evolve, an appropriate …
Artificial intelligence–enabled public health surveillance—from local detection to global epidemic monitoring and control
Artificial intelligence (AI) techniques have been widely applied to infectious disease
outbreak detection and early warning, trend prediction, and public health response …
outbreak detection and early warning, trend prediction, and public health response …
Deepcovid: An operational deep learning-driven framework for explainable real-time covid-19 forecasting
How do we forecast an emerging pandemic in real time in a purely data-driven manner?
How to leverage rich heterogeneous data based on various signals such as mobility, testing …
How to leverage rich heterogeneous data based on various signals such as mobility, testing …
STAN: spatio-temporal attention network for pandemic prediction using real-world evidence
Objective We aim to develop a hybrid model for earlier and more accurate predictions for the
number of infected cases in pandemics by (1) using patients' claims data from different …
number of infected cases in pandemics by (1) using patients' claims data from different …
Cola-GNN: Cross-location attention based graph neural networks for long-term ILI prediction
Forecasting influenza-like illness (ILI) is of prime importance to epidemiologists and health-
care providers. Early prediction of epidemic outbreaks plays a pivotal role in disease …
care providers. Early prediction of epidemic outbreaks plays a pivotal role in disease …
Deepcovidnet: An interpretable deep learning model for predictive surveillance of covid-19 using heterogeneous features and their interactions
In this paper, we propose a deep learning model to forecast the range of increase in COVID-
19 infected cases in future days and we present a novel method to compute …
19 infected cases in future days and we present a novel method to compute …
Review on the COVID-19 pandemic prevention and control system based on AI
As a new technology, artificial intelligence (AI) has recently received increasing attention
from researchers and has been successfully applied to many domains. Currently, the …
from researchers and has been successfully applied to many domains. Currently, the …
Artificial intelligence for social good: A survey
Artificial intelligence for social good (AI4SG) is a research theme that aims to use and
advance artificial intelligence to address societal issues and improve the well-being of the …
advance artificial intelligence to address societal issues and improve the well-being of the …