Gathering observational data for medical decision-making often involves uncertainties
arising from both type I (false positive) and type II (false negative) errors. In this work, we …

We investigate the problem of screening a large population for an infectious disease (ie,
classifying subjects as positive or negative) using group testing while considering important …

Group testing, a problem with applications in various fields, traditionally assumes
independent node states. Recent research, however, focuses on real-world scenarios that …

Pooled testing is an established strategy for efficient surveillance testing of infectious
diseases with low prevalence. Pooled testing works by combining clinical samples from …

The SARS-CoV-2 virus has undergone mutations over time, leading to genetic diversity
among circulating viral strains. This genetic diversity can affect the characteristics of the …

In the fight to control the spread of infectious diseases such as COVID-19, simple-to-use,
sensitive, scalable, and rapid diagnostics are critical for early infection diagnosis. In this …