INVESTIGADORES
FRAIMAN BORRAZAS Daniel Edmundo
artículos
Título:
Group testing with nested pools
Autor/es:
ARMENDÁRIZ, INÉS; FERRARI, PABLO A.; FRAIMAN, DANIEL; MARTINEZ, MARIO; PONCE DAWSON, SILVINA
Revista:
IEEE TRANSACTIONS ON INFORMATION THEORY
Editorial:
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Referencias:
Lugar: New York; Año: 2022
ISSN:
0018-9448
Resumen:
In order to identify the infected individuals of a population, their samples are divided in equally sized groups called pools and a single laboratory test is applied to each pool. Individuals whose samples belong to pools that test negative are declared healthy, while each pool that tests positive is divided into smaller, equally sized pools which are tested in the next stage. In the $(k+1)$-th stage all remaining samples are tested. If $p2^{-51}$. We also show that the cost of the best among the schemes $(3^k,dots,3)$ is of order $Oig(plog(1/p)ig)$, comparable to the information theoretical lower bound $plog_2(1/p)+(1-p)log_2(1/(1-p))$, the entropy of a Bernoulli$(p)$ random variable.