A discrete-time-evolution model to forecast progress of Covid-19 outbreak

Here we present a discrete-time-evolution model with one day interval to forecast the propagation of Covid-19. The proposed model can be easily implemented with daily updated data sets of the pandemic publicly available by distinct online sources. It has only two adjustable parameters and it predict...

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Veröffentlicht in:PloS one 2020-10, Vol.15 (10), p.e0241472-e0241472
Hauptverfasser: Curado, Evaldo M F, Curado, Marco R
Format: Artikel
Sprache:eng
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