… than estimates based on confirmed case … modelling to understand COVID-19 thus far, the
challenges posed by data availability and uncertainty, and the continuing utility of modelling-…

… A prominent example was the report by Imperial College London on the potential of
COVID-19 to cause widespread infection across the UK and the US if a mitigation (reproduction …

… The difference to other modelling … of modelling epidemics are collected first, focusing on
the standard SIR model. Proofs of various properties of the model are included. But such models …

… This study aimed to review the most important forecasting models for COVID-19 and provides
a short analysis of published literature. This paper highlighted the most important subject …

… Our analysis was based on the publicly available data of the new confirmed daily cases
reported for the Hubei province from the 11th of January until the 10th of February [14–16]. …

… state, we will use data on the current daily … on day t, after the onset of the epidemic, depends
both on the duration of the t epidemic since the beginning of its exponential stage and on …

… Considering predictive analytical results and the trend of COVID-19 outbreak, recently, …
information regarding the COVID-19 pandemic. Further, below are the few examples on how we …

… Based on our model fit to officially reported COVID-19 deaths, … ·4–19·7) deaths due to
COVID-19 would have occurred without … relying on model fits based on reported COVID-19 …

… We report discussions from the ‘Models for an exit strategy… modelling exit strategies that
arose during discussions at the workshop. Most participants were working actively on COVID-19 …

… The input parameters were calibrated to generate key characteristics in line with reported
epidemiological data on COVID-19. We primarily calibrated by comparing these …