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Understanding the coronavirus trends from mathematical point of view:Research in China
Date:2022/04/24 10:42      Share:

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


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



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


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



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



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


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



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