COVID-19 Pandemic Simulation Studies on the Transmissibility

Abstract

be critical for the response to the COVID-19 outbreak. In order to assess their threat to humans, we explored to infer the potential hosts of coronaviruses using a dual-model approach with discriminant model achieved high accuracies in leave-one-out cross-validation of training data consisting of standard representative coronaviruses [34-37]. Predictions on chosen additional coronaviruses precisely conformed to conclusions or speculations by other researchers. The novel coronavirus disease 19 (COVID-19) is rapidly spreading with a rising death toll and transmission rate reported in high income countries rather than in low income countries. The overburdened healthcare systems and poor disease surveillance systems in resource-limited settings may struggle to cope with this COVID-19 outbreak and this calls for a tailored strategic response for these settings. Here, we recommend blockchain Abstract COVID-19 was identified as the causative virus of pneumonia based on unknown etiology. COVID-19 has multiple characteristics distinct from other infectious diseases, including high infectivity during incubation, time delay between real dynamics and daily numbers of confirmed cases, and the intervention effects of quarantine and control measures. 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.