These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
200 related articles for article (PubMed ID: 33417605)
1. Prediction of the COVID-19 epidemic trends based on SEIR and AI models. Feng S; Feng Z; Ling C; Chang C; Feng Z PLoS One; 2021; 16(1):e0245101. PubMed ID: 33417605 [TBL] [Abstract][Full Text] [Related]
2. Retrospective prediction of the epidemic trend of COVID-19 in Wuhan at four phases. Li M; Guo X; Wang X J Med Virol; 2021 Apr; 93(4):2493-2498. PubMed ID: 33415760 [TBL] [Abstract][Full Text] [Related]
3. Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions. Yang Z; Zeng Z; Wang K; Wong SS; Liang W; Zanin M; Liu P; Cao X; Gao Z; Mai Z; Liang J; Liu X; Li S; Li Y; Ye F; Guan W; Yang Y; Li F; Luo S; Xie Y; Liu B; Wang Z; Zhang S; Wang Y; Zhong N; He J J Thorac Dis; 2020 Mar; 12(3):165-174. PubMed ID: 32274081 [TBL] [Abstract][Full Text] [Related]
4. Effect of Travel Restrictions of Wuhan City Against COVID-19: A Modified SEIR Model Analysis. Li Y; Hou S; Zhang Y; Liu J; Fan H; Cao C Disaster Med Public Health Prep; 2022 Aug; 16(4):1431-1437. PubMed ID: 33413723 [TBL] [Abstract][Full Text] [Related]
5. COVID-19 epidemic phases and morbidity in different areas of Chinese mainland, 2020. Wang Y; Yu J; Wang F; Zhang Y; Ma S Front Public Health; 2023; 11():1151038. PubMed ID: 37089485 [TBL] [Abstract][Full Text] [Related]
6. Application of genetic algorithm combined with improved SEIR model in predicting the epidemic trend of COVID-19, China. Qiu Z; Sun Y; He X; Wei J; Zhou R; Bai J; Du S Sci Rep; 2022 May; 12(1):8910. PubMed ID: 35618751 [TBL] [Abstract][Full Text] [Related]
7. The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study. Prem K; Liu Y; Russell TW; Kucharski AJ; Eggo RM; Davies N; ; Jit M; Klepac P Lancet Public Health; 2020 May; 5(5):e261-e270. PubMed ID: 32220655 [TBL] [Abstract][Full Text] [Related]
8. When will the battle against novel coronavirus end in Wuhan: A SEIR modeling analysis. Wan K; Chen J; Lu C; Dong L; Wu Z; Zhang L J Glob Health; 2020 Jun; 10(1):011002. PubMed ID: 32257174 [TBL] [Abstract][Full Text] [Related]
9. The effectiveness of quarantine of Wuhan city against the Corona Virus Disease 2019 (COVID-19): A well-mixed SEIR model analysis. Hou C; Chen J; Zhou Y; Hua L; Yuan J; He S; Guo Y; Zhang S; Jia Q; Zhao C; Zhang J; Xu G; Jia E J Med Virol; 2020 Jul; 92(7):841-848. PubMed ID: 32243599 [TBL] [Abstract][Full Text] [Related]
10. An evaluation of COVID-19 transmission control in Wenzhou using a modified SEIR model. Li W; Gong J; Zhou J; Zhang L; Wang D; Li J; Shi C; Fan H Epidemiol Infect; 2021 Jan; 149():e2. PubMed ID: 33413715 [TBL] [Abstract][Full Text] [Related]
11. Impact of Wuhan lockdown on the spread of COVID-19 in China: a study based on the data of population mobility. Wang S; Ye Y; Hu K; Lei H; Chen C; Xu X; Li W; Yuan C; Cao S; Wang S; Li S; Jia J; Wang Q; Bian Z; Wu X Zhejiang Da Xue Xue Bao Yi Xue Ban; 2021 Feb; 50(1):61-67. PubMed ID: 34117846 [TBL] [Abstract][Full Text] [Related]
12. Modeling the trend of coronavirus disease 2019 and restoration of operational capability of metropolitan medical service in China: a machine learning and mathematical model-based analysis. Liu Z; Huang S; Lu W; Su Z; Yin X; Liang H; Zhang H Glob Health Res Policy; 2020; 5():20. PubMed ID: 32391439 [TBL] [Abstract][Full Text] [Related]
13. [Fitting and forecasting the trend of COVID-19 by SEIR(+CAQ) dynamic model]. Wei YY; Lu ZZ; Du ZC; Zhang ZJ; Zhao Y; Shen SP; Wang B; Hao YT; Chen F Zhonghua Liu Xing Bing Xue Za Zhi; 2020 Apr; 41(4):470-475. PubMed ID: 32113198 [No Abstract] [Full Text] [Related]
14. Basic reproduction number and predicted trends of coronavirus disease 2019 epidemic in the mainland of China. Li Y; Wang LW; Peng ZH; Shen HB Infect Dis Poverty; 2020 Jul; 9(1):94. PubMed ID: 32678056 [TBL] [Abstract][Full Text] [Related]
15. Integrating socio-psychological factors in the SEIR model optimized by a genetic algorithm for COVID-19 trend analysis. Wang H; Wu D; Luo J; Zhang J Sci Rep; 2024 Jul; 14(1):15684. PubMed ID: 38977919 [TBL] [Abstract][Full Text] [Related]
16. Risk estimation and prediction of the transmission of coronavirus disease-2019 (COVID-19) in the mainland of China excluding Hubei province. Wan H; Cui JA; Yang GJ Infect Dis Poverty; 2020 Aug; 9(1):116. PubMed ID: 32831142 [TBL] [Abstract][Full Text] [Related]
17. First, second and potential third generation spreads of the COVID-19 epidemic in mainland China: an early exploratory study incorporating location-based service data of mobile devices. Hu B; Qiu J; Chen H; Tao V; Wang J; Lin H Int J Infect Dis; 2020 Jul; 96():489-495. PubMed ID: 32425632 [TBL] [Abstract][Full Text] [Related]
18. Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study. Wu JT; Leung K; Leung GM Lancet; 2020 Feb; 395(10225):689-697. PubMed ID: 32014114 [TBL] [Abstract][Full Text] [Related]
19. Analysis and prediction of improved SEIR transmission dynamics model: taking the second outbreak of COVID-19 in Italy as an example. Lu M; Zheng XY; Jia WN; Tian CZ Front Public Health; 2023; 11():1223039. PubMed ID: 37693704 [TBL] [Abstract][Full Text] [Related]
20. Modeling the complete spatiotemporal spread of the COVID-19 epidemic in mainland China. Hu B; Ning P; Qiu J; Tao V; Devlin AT; Chen H; Wang J; Lin H Int J Infect Dis; 2021 Sep; 110():247-257. PubMed ID: 33862212 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]