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publishDate:"[2019 TO 2021]"
journalStr:"arXiv.org"
#:"(allfields_unstemmed:2019-nCov OR allfields:2019nCov OR allfields_unstemmed:2019nCov OR allfields_unstemmed:Sars-CoV-2 OR allfields_unstemmed:COVID-19 OR allfields_unstemmed:Sars-CoV-2 OR allfields_unstemmed:COVID-19 NOT format:Book NOT collection_details:ZDB-2-SEB)"
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A Time Delay Dynamical Model for Outbreak of 2019-nCoV and the Parameter Identification
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Jiang, Y.
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A Simple Prediction Model for the Development Trend of 2019-nCov Epidemics Based on Medical Observations
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Xu, D.
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Fu, S.
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Infodemiological Study Using Google Trends on Coronavirus Epidemic in Wuhan, China
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Preliminary prediction of the basic reproduction number of the Wuhan novel coronavirus 2019-nCoV
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Epidemic model on a network: analysis and applications to COVID-19
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| 2019
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Caputo, J.
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Cruz-Pacheco, G.
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