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Forecasting the Trends of Covid-19 and Causal Impact of Vaccines Using Bayesian Structural time Series and ARIMA

Muhammed Navas Thorakkattle, Shazia Farhin, Athar Ali khan

2022Annals of Data Science31 citationsDOIOpen Access PDF

Topics & Concepts

Autoregressive integrated moving averageTime seriesCoronavirus disease 2019 (COVID-19)Series (stratigraphy)CasualEconometricsStatisticsGeographyBayesian probabilityDemographyMathematicsPolitical scienceMedicineDiseaseInfectious disease (medical specialty)SociologyBiologyLawPathologyPaleontologyCOVID-19 epidemiological studiesCOVID-19 Pandemic ImpactsInfluenza Virus Research Studies
Forecasting the Trends of Covid-19 and Causal Impact of Vaccines Using Bayesian Structural time Series and ARIMA | Litcius