Yanni Xiao

Xi'an Jiaotong University (XJTU) - The Interdisplinary Research Center for Mathematics and Life Sciences

China

Xi'an Jiaotong University (XJTU) - School of Mathematics and Statistics

China

SCHOLARLY PAPERS

2

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2

Scholarly Papers (2)

1.

Estimation of the Transmission Risk of 2019-nCov and Its Implication for Public Health Interventions (2019-nCov的传播风险估计及其对公共卫生干预的意义)

Number of pages: 20 Posted: 27 Jan 2020
Xi'an Jiaotong University (XJTU) - The Interdisplinary Research Center for Mathematics and Life Sciences, Shaanxi Normal University - School of Mathematics and Information Science, Xi'an Jiaotong University (XJTU) - School of Mathematics and Statistics, York University - Laboratory for Industrial and Applied Mathematics, Shaanxi Normal University - School of Mathematics and Information Science, Xi'an Jiaotong University (XJTU) - The Interdisplinary Research Center for Mathematics and Life Sciences and York University
Downloads 11,402 (367)
Citation 15

Abstract:

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coronavirus, infection management and control, travel restriction, mathematical model, SEIR model

2.

The Evolution of Quarantined and Suspected Cases Determines the Final Trend of the 2019-nCoV Epidemics Based on Multi-Source Data Analyses

Number of pages: 26 Posted: 13 Feb 2020
Xi'an Jiaotong University (XJTU) - The Interdisplinary Research Center for Mathematics and Life Sciences, Xi'an Jiaotong University (XJTU) - The Interdisplinary Research Center for Mathematics and Life Sciences, Shaanxi Normal University - School of Mathematics and Information Science, York University - Laboratory for Industrial and Applied Mathematics, York University - Laboratory for Industrial and Applied Mathematics, Xi'an Jiaotong University (XJTU) - The Interdisplinary Research Center for Mathematics and Life Sciences, Shaanxi Normal University - School of Mathematics and Information Science, Xi'an Jiaotong University (XJTU) - The Interdisplinary Research Center for Mathematics and Life Sciences and York University
Downloads 276 (116,120)

Abstract:

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coronavirus; multi-source data; mathematical model; SEIR model