Machine learning-driven COVID-19 early triage and large-scale testing strategies based on the 2021 Costa Rican Actualidades survey

The COVID-19 pandemic underscored the importance of mass testing to mitigate the spread of the virus. This study presents mass-testing strategies developed through machine learning models, which predict the risk of COVID-19 contagion based on health determinants. Using data from the 2021 “Actualidad...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Carlos Pasquier, Maikol Solís, Vivian Vilchez, Santiago Núñez-Corrales
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Taylor & Francis Group 2025-12-01
Σειρά:	Mathematics in Medical and Life Sciences
Θέματα:	COVID-19 mass testing strategies machine learning health determinants Costa Rica
Διαθέσιμο Online:	https://www.tandfonline.com/doi/10.1080/29937574.2025.2494001
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