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20162025
most citedIdentification and prediction of time-varying parameters of COVID-19 model: a data-driven deep learning approach

2 citations · 2 across the 6 of their papers we have counts for

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2 papers · 1 filter

q-bio.PE2022

Multi-variant COVID-19 model with heterogeneous transmission rates using deep neural networks

K. D. Olumoyin, A. Q. M. Khaliq, K. M. Furati

Mutating variants of COVID-19 have been reported across many US states since 2021. In the fight against COVID-19, it has become imperative to study the heterogeneity in the time-va…

q-bio.PE2021

Data-driven deep learning algorithms for time-varying infection rates of COVID-19 and mitigation measures

K. D. Olumoyin, A. Q. M. Khaliq, K. M. Furati

Epidemiological models with constant parameters may not capture satisfactory infection patterns in the presence of pharmaceutical and non-pharmaceutical mitigation measures during…