County-level longitudinal clustering of COVID-19 mortality to incidence ratio in the United States
Abstract As of November 12, 2020, the mortality to incidence ratio (MIR) of COVID-19 was 5.8% in the US. A longitudinal model-based clustering system on the disease trajectories over time was used to identify “vulnerable” clusters of counties that would benefit from allocating additional resources b...
Guardado en:
Autores principales: | Nasim Vahabi, Masoud Salehi, Julio D. Duarte, Abolfazl Mollalo, George Michailidis |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/714dc68c8436436e912b5be6eea3f40b |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
The reversal of fortunes: trends in county mortality and cross-county mortality disparities in the United States.
por: Majid Ezzati, et al.
Publicado: (2008) -
Spatial Clustering of County-Level COVID-19 Rates in the U.S.
por: Marcus R. Andrews, et al.
Publicado: (2021) -
Neutrophil-to-lymphocyte ratio and mortality in the United States general population
por: Minkyo Song, et al.
Publicado: (2021) -
Universal risk phenotype of US counties for flu-like transmission to improve county-specific COVID-19 incidence forecasts.
por: Yi Huang, et al.
Publicado: (2021) -
Spatio-temporal clustering of hand, foot, and mouth disease at the county level in Guangxi, China.
por: Yi-hong Xie, et al.
Publicado: (2014)