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

Link：

1、Detecting Suspected Epidemic Cases Using Trajectory Big Data

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

28、An 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

43、Predicting local COVID-19 outbreaks and infectious disease epidemics based on landscape network entropy

44、Potential transmission chains of variant B.1.1.7 and co-mutations of SARS-CoV-2

ICIAM Link：

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