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Modeling and prediction of the 2019 coronavirus disease spreading in China incorporating human migration data
This study integrates the daily intercity migration data with the classic Susceptible-Exposed-Infected-Removed (SEIR) model to construct a new model suitable for describing the dynamics of epidemic spreading of Coronavirus Disease 2019 (COVID-19) in China. Daily intercity migration data for 367 citi...
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| Udgivet i: | PLoS One |
|---|---|
| Main Authors: | , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Public Library of Science
2020
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7591076/ https://ncbi.nlm.nih.gov/pubmed/33108386 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0241171 |
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