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After the sudden outbreak of Coronavirus in Wuhan, continuous and rich dataof the epidemic has been made public as the vital fact for decision support incontrol measures and aggressive implementation of containment strategies andplans. With the further growth and spreading of the virus, future resourceallocation and planning under updated strategies and measures rely on carefulstudy of the epidemic data and characteristics for accurate prediction andestimation. By using the SIR model and reported data, key parameters areobtained from least sum of squared errors for an accurate prediction ofepidemic trend in the last four weeks.

SIR Model-based Prediction of Infected Population of Coronavirus in Hubei Province