REDACS: Regional emergency-driven adaptive cluster sampling for effective COVID-19 management
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Archivos
Fecha
2023
Profesor/a Guía
Facultad/escuela
Idioma
en
Título de la revista
ISSN de la revista
Título del volumen
Editor
Taylor and Francis Ltd.
Nombre de Curso
Licencia CC
CC BY-NC-ND 4.0 DEED
Attribution-NonCommercial-NoDerivs 4.0 International
Licencia CC
https://creativecommons.org/licenses/by-nc-nd/4.0/
Resumen
As COVID-19 is spreading, national agencies need to monitor and track several metrics. Since we do not have perfect testing programs on the hand, one needs to develop an advanced sampling strategies for prevalence study, control and management. Here we introduce REDACS: Regional emergency-driven adaptive cluster sampling for effective COVID-19 management and control and justify its usage for COVID-19. We show its advantages over classical massive individual testing sampling plans. We also point out how regional and spatial heterogeneity underlines proper sampling. Fundamental importance of adaptive control parameters from emergency health stations and medical frontline is outlined. Since the Northern hemisphere entered Autumn and Winter season (this paper was originally submitted in November 2020), practical illustration from spatial heterogeneity of Chile (Southern hemisphere, which already experienced COVID-19 winter outbreak peak) is underlying the importance of proper regional heterogeneity of sampling plan. We explain the regional heterogeneity by microbiological backgrounds and link it to behavior of Lyapunov exponents. We also discuss screening by antigen tests from the perspective of “on the fly” biomarker validation, i.e., during the screening. © 2022 The Author(s). Published with license by Taylor & Francis Group, LLC.
Notas
Indexación: Scopus.
Palabras clave
ACS, Antigen test validation, Prevalence, Primary 40E10, REDACS, Sampling, Secondary 60G07
Citación
Stochastic Analysis and Application, Volume 41, Issue 3, Pages 474 - 508, 2023
DOI
10.1080/07362994.2022.2033126