Author: Norden E Huang; Fangli Qiao; Ka-Kit Tung
Title: A data-driven tool for tracking and predicting the course of COVID-19 epidemic as it evolves Document date: 2020_3_30
ID: mxen3n0k_154
Snippet: For our purpose we assume that the solution of this model yields a distribution with 870 age that has a full spectrum 0 < s < T of infectives at a time t B , long after a full 871 incubation period has passed. 872 . CC-BY-NC-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity......
Document: For our purpose we assume that the solution of this model yields a distribution with 870 age that has a full spectrum 0 < s < T of infectives at a time t B , long after a full 871 incubation period has passed. 872 . CC-BY-NC-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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