Cargando…
COVID-19 cases and deaths in the United States follow Taylor’s law for heavy-tailed distributions with infinite variance
The spatial and temporal patterns of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cases and COVID-19 deaths in the United States are poorly understood. We show that variations in the cumulative reported cases and deaths by county, state, and date exemplify Taylor’s law of fluctuation...
Autores principales: | Cohen, Joel E., Davis, Richard A., Samorodnitsky, Gennady |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9499589/ https://www.ncbi.nlm.nih.gov/pubmed/36095214 http://dx.doi.org/10.1073/pnas.2209234119 |
Ejemplares similares
-
Analyzing and interpreting spatial and temporal variability of the United States county population distributions using Taylor's law
por: Xu, Meng, et al.
Publicado: (2019) -
Asymptotic expansions for infinite weighted convolutions of heavy tail distributions and applications
por: Barbe, Ph, et al.
Publicado: (2009) -
Taylor's law and body size in exploited marine ecosystems
por: Cohen, Joel E, et al.
Publicado: (2012) -
Chagas disease vector control and Taylor's law
por: Cohen, Joel E., et al.
Publicado: (2017) -
Stable non-Gaussian random processes: stochastic models with infinite variance
por: Samoradnitsky, Gennady, et al.
Publicado: (1994)