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Tracking Covid-19 cases and deaths in the United States: metrics of pandemic progression derived from a queueing framework
We analyze the progression of COVID-19 in the United States over a nearly one-year period beginning March 1, 2020 with a novel metric motivated by queueing models, tracking partial-average day-of-event and cumulative probability distributions for events, where events are points in time when new case...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592548/ https://www.ncbi.nlm.nih.gov/pubmed/36282367 http://dx.doi.org/10.1007/s10729-022-09619-y |