Dynamics identification and forecasting of COVID-19 by switching Kalman filters
Sign Up to like & getrecommendations! Published in 2020 at "Computational Mechanics"
DOI: 10.1007/s00466-020-01911-4
Abstract: The COVID-19 pandemic has captivated scientific activity since its early days. Particular attention has been dedicated to the identification of underlying dynamics and prediction of future trend. In this work, a switching Kalman filter formalism… read more here.
Keywords: dynamics identification; identification forecasting; covid switching; identification ... See more keywords
Forecasting COVID-19 Infection Trends and New Hospital Admissions in Spain due to SARS-CoV-2 Variant of Concern Omicron
Sign Up to like & getrecommendations! Published in 2022 at "Archivos De Bronconeumologia"
DOI: 10.1016/j.arbres.2022.01.001
Abstract: Spain has been among the hardest hit countries by COVID-19 worldwide, particularly during the first wave and the ongoing sixth wave.1 There have been several successful attempts to forecast trends of incidence and mortality of… read more here.
Keywords: sars cov; infection trends; covid infection; trends new ... See more keywords
Data-driven modeling and forecasting of COVID-19 outbreak for public policy making
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DOI: 10.1016/j.isatra.2021.01.028
Abstract: This paper presents a data-driven approach for COVID-19 modeling and forecasting, which can be used by public policy and decision makers to control the outbreak through Non-Pharmaceutical Interventions (NPI). First, we apply an extended Kalman… read more here.
Keywords: public policy; driven modeling; data driven; modeling forecasting ... See more keywords
Forecasting COVID-19 pandemic: Unknown unknowns and predictive monitoring
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DOI: 10.1016/j.techfore.2021.120602
Abstract: During the current COVID-19 pandemic, there have been many efforts to forecast infection cases, deaths, and courses of development, using a variety of mechanistic, statistical, or time-series models. Some forecasts have influenced policies in some… read more here.
Keywords: forecasting covid; unknown unknowns; predictive monitoring; covid pandemic ... See more keywords
Estimating, monitoring, and forecasting COVID-19 epidemics: a spatiotemporal approach applied to NYC data
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DOI: 10.1038/s41598-021-88281-w
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).… read more here.
Keywords: age; estimating monitoring; model; covid epidemics ... See more keywords
Real-time nowcasting and forecasting of COVID-19 dynamics in England: the first wave
Sign Up to like & getrecommendations! Published in 2021 at "Philosophical Transactions of the Royal Society B: Biological Sciences"
DOI: 10.1098/rstb.2020.0279
Abstract: England has been heavily affected by the SARS-CoV-2 pandemic, with severe ‘lockdown’ mitigation measures now gradually being lifted. The real-time pandemic monitoring presented here has contributed to the evidence informing this pandemic management throughout the… read more here.
Keywords: real time; time nowcasting; nowcasting forecasting; first wave ... See more keywords