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.
258 related articles for article (PubMed ID: 34073942)
1. Predicting of the Coronavirus Disease 2019 (COVID-19) Epidemic Using Estimation of Parameters in the Logistic Growth Model. Kartono A; Wahyudi ST; Setiawan AA; Sofian I Infect Dis Rep; 2021 May; 13(2):465-485. PubMed ID: 34073942 [TBL] [Abstract][Full Text] [Related]
2. Modeling and tracking Covid-19 cases using Big Data analytics on HPCC system platformm. Villanustre F; Chala A; Dev R; Xu L; LexisNexis JS; Furht B; Khoshgoftaar T J Big Data; 2021; 8(1):33. PubMed ID: 33614394 [TBL] [Abstract][Full Text] [Related]
3. Forecasting the Long-Term Trends of Coronavirus Disease 2019 (COVID-19) Epidemic Using the Susceptible-Infectious-Recovered (SIR) Model. Kartono A; Karimah SV; Wahyudi ST; Setiawan AA; Sofian I Infect Dis Rep; 2021 Jul; 13(3):668-684. PubMed ID: 34449629 [TBL] [Abstract][Full Text] [Related]
4. Prediction of the COVID-19 Pandemic for the Top 15 Affected Countries: Advanced Autoregressive Integrated Moving Average (ARIMA) Model. Singh RK; Rani M; Bhagavathula AS; Sah R; Rodriguez-Morales AJ; Kalita H; Nanda C; Sharma S; Sharma YD; Rabaan AA; Rahmani J; Kumar P JMIR Public Health Surveill; 2020 May; 6(2):e19115. PubMed ID: 32391801 [TBL] [Abstract][Full Text] [Related]
5. A new SEAIRD pandemic prediction model with clinical and epidemiological data analysis on COVID-19 outbreak. Liu XX; Fong SJ; Dey N; Crespo RG; Herrera-Viedma E Appl Intell (Dordr); 2021; 51(7):4162-4198. PubMed ID: 34764574 [TBL] [Abstract][Full Text] [Related]
6. Logistic growth modelling of COVID-19 proliferation in China and its international implications. Shen CY Int J Infect Dis; 2020 Jul; 96():582-589. PubMed ID: 32376306 [TBL] [Abstract][Full Text] [Related]
7. Reconstructing and forecasting the COVID-19 epidemic in the United States using a 5-parameter logistic growth model. Chen DG; Chen X; Chen JK Glob Health Res Policy; 2020; 5():25. PubMed ID: 32435695 [TBL] [Abstract][Full Text] [Related]
8. Prediction of epidemic trends in COVID-19 with logistic model and machine learning technics. Wang P; Zheng X; Li J; Zhu B Chaos Solitons Fractals; 2020 Oct; 139():110058. PubMed ID: 32834611 [TBL] [Abstract][Full Text] [Related]
9. An approximation-based approach for periodic estimation of effective reproduction number: a tool for decision-making in the context of coronavirus disease 2019 (COVID-19) outbreak. Das A Public Health; 2020 Aug; 185():199-201. PubMed ID: 32653628 [TBL] [Abstract][Full Text] [Related]
10. Measuring the worldwide spread of COVID-19 using a comprehensive modeling method. Zhou X; Ma X; Gao S; Ma Y; Gao J; Jiang H; Zhu W; Hong N; Long Y; Su L BMC Med Inform Decis Mak; 2023 Sep; 21(Suppl 9):384. PubMed ID: 37715170 [TBL] [Abstract][Full Text] [Related]
11. Generalized logistic growth modeling of the COVID-19 pandemic in Asia. Aviv-Sharon E; Aharoni A Infect Dis Model; 2020; 5():502-509. PubMed ID: 32766462 [TBL] [Abstract][Full Text] [Related]
12. [A summary of characteristics of the first wave of new type coronavirus epidemic and potential association with tuberculosis vaccination]. Emődy-Kiss B; Pataki Á; Deli G; Papp S; Mátyus M; Fent J Orv Hetil; 2021 Jan; 162(4):123-134. PubMed ID: 33486464 [TBL] [Abstract][Full Text] [Related]
13. Predictive model with analysis of the initial spread of COVID-19 in India. Ghosh S Int J Med Inform; 2020 Nov; 143():104262. PubMed ID: 32911257 [TBL] [Abstract][Full Text] [Related]
14. Advanced Computing Approach for Modeling and Prediction COVID-19 Pandemic. Morsi SA; Alzahrani ME Appl Bionics Biomech; 2022; 2022():6056574. PubMed ID: 35432594 [TBL] [Abstract][Full Text] [Related]
15. Forecasting the long-term trend of COVID-19 epidemic using a dynamic model. Sun J; Chen X; Zhang Z; Lai S; Zhao B; Liu H; Wang S; Huan W; Zhao R; Ng MTA; Zheng Y Sci Rep; 2020 Dec; 10(1):21122. PubMed ID: 33273592 [TBL] [Abstract][Full Text] [Related]
16. Forecasting COVID-19 confirmed cases, deaths and recoveries: Revisiting established time series modeling through novel applications for the USA and Italy. Gecili E; Ziady A; Szczesniak RD PLoS One; 2021; 16(1):e0244173. PubMed ID: 33411744 [TBL] [Abstract][Full Text] [Related]
17. [Reviewing and Reflecting on Nursing During the COVID-19 Pandemic]. Chen SL Hu Li Za Zhi; 2020 Dec; 67(6):4-5. PubMed ID: 33274419 [TBL] [Abstract][Full Text] [Related]
18. Spatio-temporal data visualization for monitoring of control measures in the prevention of the spread of COVID-19 in Bosnia and Herzegovina. Ponjavić M; Karabegović A; Ferhatbegović E; Tahirović E; Uzunović S; Travar M; Pilav A; Mulić M; Karakaš S; Avdić N; Mulabdić Z; Pavić G; Bičo M; Vasilj I; Mamić D; Hukić M Med Glas (Zenica); 2020 Aug; 17(2):265-274. PubMed ID: 32602300 [TBL] [Abstract][Full Text] [Related]
19. Modelling and predicting the spatio-temporal spread of cOVID-19 in Italy. Giuliani D; Dickson MM; Espa G; Santi F BMC Infect Dis; 2020 Sep; 20(1):700. PubMed ID: 32967639 [TBL] [Abstract][Full Text] [Related]
20. Early trends of socio-economic and health indicators influencing case fatality rate of COVID-19 pandemic. Asfahan S; Shahul A; Chawla G; Dutt N; Niwas R; Gupta N Monaldi Arch Chest Dis; 2020 Jul; 90(3):. PubMed ID: 32696629 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]