Simulation Algorithms for The Transmissibility to Evaluate Novel Coronavirus Pandemic
10.15520/jmbas.v8i4.226
摘要
A novel coronavirus (COVID-19) reported by World Health Organization
(WHO) was identified as the causative virus of pneumonia based
on unknown etiology. Public health concerns are being paid globally
on how many people are infected and suspected reach to pandemics.
Therefore, it is urgent to develop a mathematical model to estimate the
transmissibility and dynamic of the transmission of the virus. In order
to assess their threat to humans, we explored to infer the potential hosts
of coronaviruses using a dual-model approach based on parameters
computed from genes of coronaviruses.
How to Cite
Hyunjo Kim, Jae-Hoon Song (2020). Simulation Algorithms for The Transmissibility to Evaluate Novel Coronavirus Pandemic. Journal of Medical Biomedical and Applied Sciences , 卷 8 期 4 (2020) , 392-408 . https://doi.org/10.15520/jmbas.v8i4.226