2026-06-14T02:16:35Zhttps://repisalud.isciii.es/rest/oai/requestoai:repisalud.isciii.es:20.500.12105/142702024-09-27T18:33:15Zcom_20.500.12105_2052com_20.500.12105_2051col_20.500.12105_19608
Repisalud
author
Guzmán-Merino, Miguel
author
Durán, Christian
author
Marinescu, Maria-Cristina
author
Delgado-Sanz, Concepcion
author
Gomez-Barroso, Diana
author
Carretero, Jesus
author
Singh, David E
funder
Red Española de Supercomputación
funder
Unión Europea. Comisión Europea. H2020
funder
Instituto de Salud Carlos III
2022-05-05T11:06:47Z
2022-05-05T11:06:47Z
2021-12
Comput Biol Med. 2021 Dec;139:104938.
10.1016/j.compbiomed.2021.104938
1879-0534
Computers in Biology and Medicine
34678482
http://hdl.handle.net/20.500.12105/14270
As long as critical levels of vaccination have not been reached to ensure heard immunity, and new SARS-CoV-2 strains are developing, the only realistic way to reduce the infection speed in a population is to track the infected individuals before they pass on the virus. Testing the population via sampling has shown good results in slowing the epidemic spread. Sampling can be implemented at different times during the epidemic and may be done either per individual or for combined groups of people at a time. The work we present here makes two main contributions. We first extend and refine our scalable agent-based COVID-19 simulator to incorporate an improved socio-demographic model which considers professions, as well as a more realistic population mixing model based on contact matrices per country. These extensions are necessary to develop and test various sampling strategies in a scenario including the 62 largest cities in Spain; this is our second contribution. As part of the evaluation, we also analyze the impact of different parameters, such as testing frequency, quarantine time, percentage of quarantine breakers, or group testing, on sampling efficacy. Our results show that the most effective strategies are pooling, rapid antigen test campaigns, and requiring negative testing for access to public areas. The effectiveness of all these strategies can be greatly increased by reducing the number of contacts for infected individual.
eng
Agent-based simulation
Contact matrices
SARS-CoV-2(COVID-19)
Sampling strategies
Social model
Assessing population-sampling strategies for reducing the COVID-19 incidence
journal article
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