Modelling and predicting the spatio-temporal spread of COVID-19, associated deaths and impact of key risk factors in England
Abstract COVID-19 caseloads in England have passed through a first peak, and at the time of this analysis appeared to be gradually increasing, potentially signalling the emergence of a second wave. To ensure continued response to the epidemic is most effective, it is imperative to better understand...
Guardado en:
Autores principales: | B. Sartorius, A. B. Lawson, R. L. Pullan |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/13749932c2a847758bd5173060b04162 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Author Correction: Modelling and predicting the spatio‑temporal spread of COVID‑19, associated deaths and impact of key risk factors in England
por: B. Sartorius, et al.
Publicado: (2021) -
Spatio-temporal predictive modeling framework for infectious disease spread
por: Sashikumaar Ganesan, et al.
Publicado: (2021) -
Modelling the impact of lockdown-easing measures on cumulative COVID-19 cases and deaths in England
por: Hisham Ziauddeen, et al.
Publicado: (2021) -
Spatio-Temporal Analysis of the Spread of ASF in the Russian Federation in 2017-2019
por: Andrey Blokhin, et al.
Publicado: (2020) -
A spatio-temporal analysis of dengue spread in a Brazilian dry climate region
por: Aloísio S. Nascimento Filho, et al.
Publicado: (2021)