Understanding the coronavirus trends from mathematical point of view:Research in China

release: 2020/04/03 23:33


Understanding the coronavirus trends from mathematical point of view:Research in China


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1、Detecting Suspected Epidemic Cases Using Trajectory Big Data


2、基于一类时滞动力学系统对新型冠状病毒肺炎疫情的建模和预测

3、新型冠状病毒肺炎疫情下武汉及周边地区何时复工 ? 数据驱动的网络模型分析


4、The  reproductive number R0 of COVID-19 based on estimate of a statistical time delay dynamical system


5、CoVID-19 in Japan: What could happen in the future?


6、Nonlinear regression in COVID-19 forecasting(Chinese Version)


7、Studies of the strategies for controlling the COVID-19 epidemic in China: Estimation of control efficacy and suggestions for policy makers (Chinese Version


8、新型冠状病毒肺炎疫情数据挖掘与离散随机传播动力学模型分析


9、修正SEIR传染病动力学模型应用于湖北省2019冠状病毒病(COVID-19)疫情预测和评估


10、SEIR Transmission dynamics model of 2019 nCoV coronavirus with considering the weak infectious ability and changes in latency duration


11、 A time delay dynamical model for outbreak of 2019-nCoV and the parameter identification


12、A time delay dynamic system with external source for the local outbreak of 2019-nCoV


13、Dynamic models for coronavirus disease 2019 and data analysis


14、 COVID-19 in Singapore: another story of success


15、The reconstruction and prediction algorithm of the fractional TDD for the local outbreak of COVID-19


16、The reproductive number R 0 of COVID-19 based on estimate of a statistical time delay dynamical system


17、Modeling the control of COVID-19: impact of policy interventions and meteorological factors


18、基于脉冲微分方程的COVID-19境外输入型病例对我国疫情防控影响的分析


19、Epidemiological characteristics of 1212 COVID-19 patients in Henan, China


20、Statistical Inference for Coronavirus Infected Patients in Wuhan


21、Modeling analysis of COVID-19 based on morbidity data in Anhui, China


22、Quantitative assessment of the role of undocumented infection in the 2019 novel coronavirus (COVID-19) pandemic


23、Effect of Delay in Diagnosis on Transmission of COVID-19


24、疫情环境下价格导向的防护物资最优生产分配机制研究


25、新型冠状病毒肺炎疫情建模、数据融合与防控策略分析


26、Estimation of the Transmission Risk of the 2019-nCoV and Its Implication for Public Health Interventions


27、The effectiveness of quarantine and isolation determine the trend of the COVID-19epidemics in the final phase of the current outbreak in China


28An updated estimation of the risk of transmission of the novel coronavirus (2019-nCov)


29、Effects of media reporting on mitigating spread of COVID-19 in the early phase of the outbreak


30、A discrete stochastic model of the COVID-19 outbreak: Forecast and control


31缓疫策略执行力与依从性对COVID-19后期疫情及复工影响的模型研究


32、新型冠状病毒肺炎的早期传染病流行病学参数估计研究


33、Perspectives: An Estimation of the Total Number of Cases of NCIP (2019-nCoV) — Wuhan, Hubei Province, 2019–2020


34、Estimating the daily trend in the size of COVID-19 infected population in Wuhan


35、Estimation of the Time-Varying Reproduction Number of COVID-19 Outbreak in China


36、The Framework for the Prediction of the Critical Turning Period for Outbreak of COVID-19 Spread in China based on the iSEIR Model


37、A Dynamic Epidemic Model for Rumor Spread in Multiplex Network with Numerical Analysis


38、新冠肺炎疫情控制策略研究:效率评估及建议


39、Modeling the situation of COVID-19 and effects of different containment strategies in China with dynamic differential equations and parameters estimation


40、Coronavirus: Limit Economic Damage


41、Epidemic analysis of COVID-19 in China by dynamical modeling


42、Rational evaluation of various epidemic models based on the COVID-19 data of China



ICIAM Link:

    http://www.iciam.org/mathematics-and-covid-19





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