Reducing the Number of Tests Using Bayesian Inference to Identify Infected Patients in Group Testing
© The Physical Society of Japan
This article is on
Bayesian Inference of Infected Patients in Group Testing with Prevalence Estimation
(JPSJ Editors' Choice)
J. Phys. Soc. Jpn.
89,
084001
(2020)
.
Group testing is a method of identifying infected patients by performing tests on a pool of specimens. Bayesian inference and a corresponding belief propagation (BP) algorithm are introduced to identify the infected patients in group testing.
Bayesian Inference of Infected Patients in Group Testing with Prevalence Estimation
(JPSJ Editors' Choice)
J. Phys. Soc. Jpn.
89,
084001
(2020)
.
Share this topic
Fields
Related Articles
-
How Heart Cells Come to Beat Together through an Elastic Substrate
Cross-disciplinary physics and related areas of science and technology
Statistical physics and thermodynamics
2026-8-24
Two isolated cardiomyocytes (heart muscle cells) can synchronize through deformations of a soft substrate. A dynamical theory explains geometry-dependent phase-locking and synchronization time.
-
Rumors Spread Wider Despite Low Transmissibility
Cross-disciplinary physics and related areas of science and technology
2026-8-7
This study proposes an SIS competition model that integrates rumor spread and opinion changes. This analysis reveals novel mechanisms for conflicting rumor coexistence, thus demonstrating that rumors paradoxically survive through low transmissibility.
-
Giant Brute-Force Simulation to Reveal Nucleation and Growth of Ultrasonic Cavitation Bubbles
Electromagnetism, optics, acoustics, heat transfer, and classical and fluid mechanics
Statistical physics and thermodynamics
2026-7-27
This study reveals the early-stage dynamics of ultrasonic cavitation using a record 100-billion-atom simulation to capture bubble nucleation, growth, clustering, and periodic splitting under nonequilibrium conditions.
-
Monitored Quantum Systems and Quantum Trajectories
Mathematical methods, classical and quantum physics, relativity, gravitation, numerical simulation, computational modeling
Statistical physics and thermodynamics
2026-7-21
This review in Progress of Theoretical and Experimental Physics introduces monitored quantum systems and quantum trajectories, emphasizing their spectral properties, typical behaviors such as ergodicity and purification, and measurement-induced phases.
-
Topological Defects as Seeds of Phase Separation: Insights from a Minimal Lattice Model
Cross-disciplinary physics and related areas of science and technology
Statistical physics and thermodynamics
2026-7-13
A minimal lattice model revealed that topological defects with winding number +1 serve as nucleation sites for phase separation in active matter systems.

