Mudassar Imran, Ph.D.
Affiliations: | 2006 | Arizona State University, Tempe, AZ, United States |
Area:
MathematicsGoogle:
"Mudassar Imran"Parents
Sign in to add mentorHal L. Smith | grad student | 2006 | Arizona State | |
(Mathematical models in biofilm and antibiotic treatment.) |
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Publications
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Ali M, Shah STH, Imran M, et al. (2020) The role of asymptomatic class, quarantine and isolation in the transmission of COVID-19. Journal of Biological Dynamics. 14: 389-408 |
Dur-e-Ahmad M, Imran M. (2020) Transmission Dynamics Model of Coronavirus COVID-19 for the Outbreak in Most Affected Countries of the World International Journal of Interactive Multimedia and Artificial Intelligence. 6: 4 |
Imran M, Usman M, Malik T, et al. (2018) Mathematical analysis of the role of hospitalization/isolation in controlling the spread of Zika fever. Virus Research |
Khan A, Imran M. (2018) Optimal Dosing Strategies Against Susceptible And Resistant Bacteria Journal of Biological Systems. 26: 41-58 |
Imran M, Khan A, Ansari AR, et al. (2017) Modeling transmission dynamics of Ebola virus disease International Journal of Biomathematics. 10: 1750057 |
Imran M, Usman M, Dur-e-Ahmad M, et al. (2017) Transmission Dynamics of Zika Fever: A SEIR Based Model Differential Equations and Dynamical Systems. 1-24 |
Imran M, Malik T, Ansari AR, et al. (2016) Mathematical analysis of swine influenza epidemic model with optimal control. Japan Journal of Industrial and Applied Mathematics. 33: 269-296 |
Khan A, Waleed M, Imran M. (2015) Mathematical analysis of an influenza epidemic model, formulation of different controlling strategies using optimal control and estimation of basic reproduction number Mathematical and Computer Modelling of Dynamical Systems. 21: 432-459 |
Waleed M, Imran M, Khan A. (2015) Stochastic Analysis of an Influenza Epidemic Model International Journal of Applied and Computational Mathematics. 3: 425-443 |
Khan A, Hassan M, Imran M. (2014) Estimating the basic reproduction number for single-strain dengue fever epidemics. Infectious Diseases of Poverty. 3: 12 |