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A close contact identification algorithm using kernel density estimation for the ship passenger health

COVID-19 has been spread globally, with ships posing a significant challenge for virus containment due to their close-quartered environments. The most effective method for preventing the spread of the virus currently involves tracking and physically isolating close contacts. In this paper, we propos...

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Detalles Bibliográficos
Autores principales: Lin, Qianfeng, Son, Jooyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier B.V. on behalf of King Saud University. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10129340/
https://www.ncbi.nlm.nih.gov/pubmed/37152893
http://dx.doi.org/10.1016/j.jksuci.2023.101564

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