Nature

Multimodal graph attention network for COVID-19 outcome prediction

When dealing with a newly emerging disease such as COVID-19, the impact of patient- and disease-specific factors (e.g., body weight or known co-morbidities) on the immediate course of the disease is ...
Nature

COVID-19 infection inference with graph neural networks

Infectious diseases spread rapidly, and epidemiological surveys are vital to detect high-risk transmitters and reduce transmission rates. To enhance efficiency and reduce the burden on epidemiologists ...
GIGAZINE

'Coronavirus tracked: has your country's epidemic peaked?' Comparing the new coronavirus infection status between two countries using 'excess mortality' and 'logarithmic graph'

Coronavirus tracked: has your country's epidemic, a web application that displays a graph of the number of deaths and the number of infected people of new type coronavirus infection (COVID-19) in each ...
New Scientist

5 graphs that show how the world suddenly changed when covid-19 hit

As the covid-19 pandemic took hold, the world was transfixed and transformed while we came to terms with just how vulnerable society is to a deadly virus. These five graphs highlight just some of ...