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 |
| _version_ | 1838551011944300544 |
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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 |