2026-10-14T09:49:17Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34021335 2026-09-29T05:27:07Z portal_1183 item_type_8 month_year_09_2026

A Compartment Model and Deep Learning Approach for Simulating the Dynamic Transmission of Covid-19 Afnan Almuhaysh (25135383) COVID-19 transmission modelling ODE-based modelling CNN-LSTM hybrid modelling <p dir="ltr">This thesis develops and evaluates two approaches for modelling COVID-19 transmission. The first approach is an ODE-based compartmental model incorporating vaccination and mask usage. The model is analysed through stability analysis, sensitivity analysis, numerical simulation, and differential evolution optimisation. The results show good agreement with observed data. A hybrid CNN–LSTM model is also applied to forecast COVID-19 cases in Victoria and Western Australia, compared with ARIMA-based models.</p> 2026-09-29T05:27:07Z Text Thesis 10.25917/curtin.34021335.v1 https://figshare.com/articles/thesis/A_Compartment_Model_and_Deep_Learning_Approach_for_Simulating_the_Dynamic_Transmission_of_Covid-19/34021335 All rights reserved, written permission required Open Access after 2028-09-22