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Comparative study of a mathematical epidemic model, statistical modeling, and deep learning for COVID-19 forecasting and management

Mohammad Masum, M. A. Masud, Muhaiminul Islam Adnan, Hossain Shahriar, Sangil Kim

2022Socio-Economic Planning Sciences34 citationsDOIOpen Access PDF

Topics & Concepts

Recurrent neural networkComputer scienceDependency (UML)OutlierIdentification (biology)Coronavirus disease 2019 (COVID-19)Artificial intelligencePoisson distributionMachine learningEconometricsArtificial neural networkStatisticsMathematicsMedicineBiologyDiseaseBotanyPathologyInfectious disease (medical specialty)COVID-19 epidemiological studiesAnomaly Detection Techniques and ApplicationsCOVID-19 diagnosis using AI
Comparative study of a mathematical epidemic model, statistical modeling, and deep learning for COVID-19 forecasting and management | Litcius