Estimating, monitoring, and forecasting COVID-19 epidemics: a spatiotemporal approach applied to NYC data

Estimating, monitoring, and forecasting COVID-19 epidemics: a spatiotemporal approach applied to NYC data

Abstract We propose a susceptible-exposed-infective-recovered-type (SEIR-type) meta-population model to simulate and monitor the (COVID-19) epidemic evolution. The basic model consists of seven categories, namely, susceptible (S), exposed (E), three infective classes, recovered (R), and deceased (D)...

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Autores principales: Vinicius V. L. Albani, Roberto M. Velho, Jorge P. Zubelli
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/0d9237327f4042a091c0875700acee01
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