Publication Date: 2023/04/07
Abstract: This study uses the Ebola virus disease (EVD) post-death transmission analytical power spectral density (PSD) prediction model to understand the dynamics of the COVID-19 pandemic. This is because the steady-state analysis and calculation of the Susceptible-Infected-Recovered-Dead (SIRD) analytical PSD model of the Ebola epidemic are equivalent to an asymptomatic infection (AI) SEIR model under the same conditions. This study aims to investigate the significant impact of the infection transmission routes, asymptomatic proportion, and latency period of the COVID-19 pandemic using an analytical PSD, AI-SEI model. The results show that the latent infections and asymptomatic proportion are challenging to identify using the infected equation (I(t)) to describe the disease dynamics. Despite the challenges, the observation shows the negative impact of asymptomatic infection transmission depends on the degree at which an infected individual becomes infectious (latency period).
Keywords: COVID-19 Pandemic, Ebola Epidemic, Post-Death Transmission, Spectral Density
DOI: https://doi.org/10.5281/zenodo.10153108
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23MAR1851.pdf
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