Accessible location of mobile labs for COVID-19 testing
In this study, we address the problem of fnding the best locations for mobile labs ofering COVID-19 testing. We assume that people within known demand centroids have a degree of mobility, i.e., they can travel a reasonable distance, and mobile labs have a limited-and-variable service area. Thus, we...
Autores principales: | , |
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Formato: | Artículo |
Lenguaje: | inglés |
Publicado: |
Springer
2024
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Materias: | |
Acceso en línea: | http://eprints.uanl.mx/27405/1/276.pdf |
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author | Villicaña Cervantes, Dianne Larissa Ibarra Rojas, Omar Jorge |
author_facet | Villicaña Cervantes, Dianne Larissa Ibarra Rojas, Omar Jorge |
author_sort | Villicaña Cervantes, Dianne Larissa |
collection | Repositorio Institucional |
description | In this study, we address the problem of fnding the best locations for mobile labs ofering COVID-19 testing. We assume that people within known demand centroids have a degree of mobility, i.e., they can travel a reasonable distance, and mobile labs have a limited-and-variable service area. Thus, we defne a location problem concerned with optimizing a measure representing the accessibility of service to its potential clients. In particular, we use the concepts of classical, gradual, and cooperative coverage to defne a weighted sum of multiple accessibility indicators. We formulate our optimization problem via a mixed-integer linear program which is intractable by commercial solvers for large instances. In response, we designed a Biased Random-Key Genetic Algorithm to solve the defned problem; this is capable of obtaining high-quality feasible solutions over large numbers of instances in seconds. Moreover, we present insights derived from a case study into the locations of COVID-19 testing mobile laboratories in Nuevo Leon, Mexico. Our experimental results show that our optimization approach can be used as a diagnostic tool to determine the number of mobile labs needed to satisfy a set of demand centroids, assuming that users have reduced mobility due to the restrictions because of the pandemic. |
format | Article |
id | eprints-27405 |
institution | UANL |
language | English |
publishDate | 2024 |
publisher | Springer |
record_format | eprints |
spelling | eprints-274052025-07-07T16:58:31Z http://eprints.uanl.mx/27405/ Accessible location of mobile labs for COVID-19 testing Villicaña Cervantes, Dianne Larissa Ibarra Rojas, Omar Jorge QA Matemáticas, Ciencias computacionales In this study, we address the problem of fnding the best locations for mobile labs ofering COVID-19 testing. We assume that people within known demand centroids have a degree of mobility, i.e., they can travel a reasonable distance, and mobile labs have a limited-and-variable service area. Thus, we defne a location problem concerned with optimizing a measure representing the accessibility of service to its potential clients. In particular, we use the concepts of classical, gradual, and cooperative coverage to defne a weighted sum of multiple accessibility indicators. We formulate our optimization problem via a mixed-integer linear program which is intractable by commercial solvers for large instances. In response, we designed a Biased Random-Key Genetic Algorithm to solve the defned problem; this is capable of obtaining high-quality feasible solutions over large numbers of instances in seconds. Moreover, we present insights derived from a case study into the locations of COVID-19 testing mobile laboratories in Nuevo Leon, Mexico. Our experimental results show that our optimization approach can be used as a diagnostic tool to determine the number of mobile labs needed to satisfy a set of demand centroids, assuming that users have reduced mobility due to the restrictions because of the pandemic. Springer 2024 Article PeerReviewed text en cc_by_nc_nd http://eprints.uanl.mx/27405/1/276.pdf http://eprints.uanl.mx/27405/1.haspreviewThumbnailVersion/276.pdf Villicaña Cervantes, Dianne Larissa y Ibarra Rojas, Omar Jorge (2024) Accessible location of mobile labs for COVID-19 testing. Health Care Management Science, 27 (1). pp. 1-19. ISSN 1386-9620 http://doi.org/10.1007/s10729-022-09614-3 doi:10.1007/s10729-022-09614-3 |
spellingShingle | QA Matemáticas, Ciencias computacionales Villicaña Cervantes, Dianne Larissa Ibarra Rojas, Omar Jorge Accessible location of mobile labs for COVID-19 testing |
thumbnail | https://rediab.uanl.mx/themes/sandal5/images/online.png |
title | Accessible location of mobile labs for COVID-19 testing |
title_full | Accessible location of mobile labs for COVID-19 testing |
title_fullStr | Accessible location of mobile labs for COVID-19 testing |
title_full_unstemmed | Accessible location of mobile labs for COVID-19 testing |
title_short | Accessible location of mobile labs for COVID-19 testing |
title_sort | accessible location of mobile labs for covid 19 testing |
topic | QA Matemáticas, Ciencias computacionales |
url | http://eprints.uanl.mx/27405/1/276.pdf |
work_keys_str_mv | AT villicanacervantesdiannelarissa accessiblelocationofmobilelabsforcovid19testing AT ibarrarojasomarjorge accessiblelocationofmobilelabsforcovid19testing |