165 related articles for article (PubMed ID: 33062043)
1. A Mathematical Model to Investigate the Transmission of COVID-19 in the Kingdom of Saudi Arabia.
Alshammari FS
Comput Math Methods Med; 2020; 2020():9136157. PubMed ID: 33062043
[TBL] [Abstract][Full Text] [Related]
2. Predicting the Epidemiological Outbreak of the Coronavirus Disease 2019 (COVID-19) in Saudi Arabia.
Alboaneen D; Pranggono B; Alshammari D; Alqahtani N; Alyaffer R
Int J Environ Res Public Health; 2020 Jun; 17(12):. PubMed ID: 32630363
[TBL] [Abstract][Full Text] [Related]
3. Mathematical modelling on COVID-19 transmission impacts with preventive measures: a case study of Tanzania.
Mumbu AJ; Hugo AK
J Biol Dyn; 2020 Dec; 14(1):748-766. PubMed ID: 32990177
[TBL] [Abstract][Full Text] [Related]
4. COVID-19 Spread in Saudi Arabia: Modeling, Simulation and Analysis.
Alrasheed H; Althnian A; Kurdi H; Al-Mgren H; Alharbi S
Int J Environ Res Public Health; 2020 Oct; 17(21):. PubMed ID: 33113936
[TBL] [Abstract][Full Text] [Related]
5. Predicting the cumulative number of cases for the COVID-19 epidemic in China from early data.
Liu ZH; Magal P; Seydi O; Webb G
Math Biosci Eng; 2020 Apr; 17(4):3040-3051. PubMed ID: 32987515
[TBL] [Abstract][Full Text] [Related]
6. Modelling the effects of media coverage and quarantine on the COVID-19 infections in the UK.
Feng LX; Jing SL; Hu SK; Wang DF; Huo HF
Math Biosci Eng; 2020 May; 17(4):3618-3636. PubMed ID: 32987547
[TBL] [Abstract][Full Text] [Related]
7. Optimal control strategies for the transmission risk of COVID-19.
Lemecha Obsu L; Feyissa Balcha S
J Biol Dyn; 2020 Dec; 14(1):590-607. PubMed ID: 32696723
[TBL] [Abstract][Full Text] [Related]
8. Studying on the impact of media coverage on the spread of COVID-19 in Hubei Province, China.
Chang XH; Liu X; Jin Z; Wang JR
Math Biosci Eng; 2020 Apr; 17(4):3147-3159. PubMed ID: 32987521
[TBL] [Abstract][Full Text] [Related]
9. Predicting COVID-19 spread in the face of control measures in West Africa.
Taboe HB; Salako KV; Tison JM; Ngonghala CN; Glèlè Kakaï R
Math Biosci; 2020 Oct; 328():108431. PubMed ID: 32738248
[TBL] [Abstract][Full Text] [Related]
10. A discrete stochastic model of the COVID-19 outbreak: Forecast and control.
He S; Tang SY; Rong L
Math Biosci Eng; 2020 Mar; 17(4):2792-2804. PubMed ID: 32987496
[TBL] [Abstract][Full Text] [Related]
11. Current trends and future prediction of novel coronavirus disease (COVID-19) epidemic in China: a dynamical modeling analysis.
Wang K; Lu ZZ; Wang XM; Li H; Li HL; Lin DD; Cai YL; Feng X; Song YT; Feng ZW; Ji WD; Wang XY; Yin Y; Wang L; Peng ZH
Math Biosci Eng; 2020 Apr; 17(4):3052-3061. PubMed ID: 32987516
[TBL] [Abstract][Full Text] [Related]
12. Estimation of the Probability of Reinfection With COVID-19 by the Susceptible-Exposed-Infectious-Removed-Undetectable-Susceptible Model.
Victor Okhuese A
JMIR Public Health Surveill; 2020 May; 6(2):e19097. PubMed ID: 32369029
[TBL] [Abstract][Full Text] [Related]
13. The within-host viral kinetics of SARS-CoV-2.
Li CT; Xu JH; Liu JW; Zhou YC
Math Biosci Eng; 2020 Mar; 17(4):2853-2861. PubMed ID: 32987502
[TBL] [Abstract][Full Text] [Related]
14. Modelling and assessing the effects of medical resources on transmission of novel coronavirus (COVID-19) in Wuhan, China.
Wang LP; Wang J; Zhao HY; Shi YY; Wang K; Wu P; Shi L
Math Biosci Eng; 2020 Mar; 17(4):2936-2949. PubMed ID: 32987508
[TBL] [Abstract][Full Text] [Related]
15. Analysis and prediction of the COVID-19 outbreak in Pakistan.
Ali M; Imran M; Khan A
J Biol Dyn; 2020 Dec; 14(1):730-747. PubMed ID: 32875961
[TBL] [Abstract][Full Text] [Related]
16. An analytical study on the awareness, attitude and practice during the COVID-19 pandemic in Riyadh, Saudi Arabia.
Alahdal H; Basingab F; Alotaibi R
J Infect Public Health; 2020 Oct; 13(10):1446-1452. PubMed ID: 32563674
[TBL] [Abstract][Full Text] [Related]
17. Modeling COVID-19 pandemic using Bayesian analysis with application to Slovene data.
Manevski D; Ružić Gorenjec N; Kejžar N; Blagus R
Math Biosci; 2020 Nov; 329():108466. PubMed ID: 32920095
[TBL] [Abstract][Full Text] [Related]
18. Estimating the time interval between transmission generations when negative values occur in the serial interval data: using COVID-19 as an example.
Zhao S
Math Biosci Eng; 2020 May; 17(4):3512-3519. PubMed ID: 32987541
[TBL] [Abstract][Full Text] [Related]
19. Effects of Latency on Estimates of the COVID-19 Replication Number.
Sadun L
Bull Math Biol; 2020 Aug; 82(9):114. PubMed ID: 32816135
[TBL] [Abstract][Full Text] [Related]
20. Phase-adjusted estimation of the COVID-19 outbreak in South Korea under multi-source data and adjustment measures: a modelling study.
Feng XM; Chen J; Wang K; Wang L; Zhang FQ; Jin Z; Zou L; Wang X
Math Biosci Eng; 2020 May; 17(4):3637-3648. PubMed ID: 32987548
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]