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Joshua Mwasunda

Name
Joshua Angolwisye Mwasunda

Academic Rank
Lecturer

Department
Mathematics, Physics, and Informatics

Biography

Biography

Early Life and Background: Dr. Joshua A. Mwasunda was born and raised in Mbozi district of Songwe region in Tanzania. His early years were marked years were marked by a profound curiosity for Mathematics and Science, which laid the foundation for his academic journey.

Education: Dr. Mwasunda pursued his higher education at the University of Dar es Salaam, where he earned a Bachelor of Science with Education and later a Master of Science in Mathematical Modelling. His passion for advancing his knowledge led him to pursue a PhD in Applied Mathematics and Computational Sciences at the Nelson Mandela African Institution of Science and Technology.

Career and Expertise: Currently, Dr. Mwasunda serves as a Lecturer in the Department of Mathematics, Physics and Informatics at Mkwawa University College of Education (A Constituent College of the University of Dar es Salaam). 

Achievements and Contributions: Dr. Mwasunda has made significant contributions to his field, evident in his research and publications. Since  2015, he has authored several articles in reputable journals, contributing valuable insights to the scientific community. Additional, Dr. Mwasunda teaches and supervises research for postgraduate students who carry out their studies on applied mathematics or mathematical modelling.  

Current Endeavors: Currently, Dr. Mwasunda continues to engage actively in research and teaching, striving to inspire and educate the next generation of mathematicians and scientists. His current researches focus on modeling biological control strategies for pests and fruit flies in order to improve food sustainability.

Legacy and Impact: Dr. Mwasunda's dedication to advancing mathematical modelling in the context of infectious diseases has not only expanded the theoretical understanding of these complex issues but also contributed to practical applications in public health and policy-making. His work is recognized for its rigorous methodology and potential to influence health strategies.

Conclusion: In summary, Dr. Joshua A. Mwasunda exemplifies a committed educator and researcher whose expertise in mathematical modelling has made significant contribution for understanding and addressing infectious diseases. His journey underscores a steadfast pursuit of knowledge and a commitment to making meaningful contributions to society through academia.

Contacts

Email:

Email Address
joshuamwasunda@gmail.com

Research Interest

Research Interest
Modelling the Dynamics of Infection Diseases, Optimal Control, Cost effectiveness Analysis and Modelling Population Dynamics through Deterministic and Stochastic Models

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Projects

Projects

SUPERVISON OF POSTGRADUATE STUDENTS

  1. Neema Shaibu Mbugi:  Modelling Malaria Transmission Dynamics in the Population with Different Immune Statuses and Asymptomatic Carriers (Completed).

  2. Farida Kisinda: Modeling and Analysis of Pulmonary and Extra-Pulmonary Tuberculosis Dynamics in Presence of Vaccination and Treatment: A Deterministic and Stochastic Modeling Perspective (Completed).

  3. Mohamedi Salum Manjenga: Mathematical Modelling of Onchocerciasis Dynamics with Integrated Sterile Insect Technology (In Progress).

RESEARCH ON PROGRESS:

Modelling the impact of biological control methods for management of fruit flies and other pests.

Publications

Publications

  1. Kigodi OJ, Manjenga MS, Katundu NC, Chacha CS, Mwasunda JA, Nyerere N. Modeling the Impact of Vaccination on Newcastle Disease Dynamics in Caged Chickens. Journal of Mathematical Analysis and Modeling. 2024 Jun 28;5(2):81-97.

  2. Kisinda F, Mwasunda JA, Aloni MS. Modeling the Transmission Dynamics of Tuberculosis in Humans. Tanzania Journal of Science. 2024 May 3;50(1):147-58.

  3. Kisinda, F., Mwasunda, J. A., & Aloni, M. S. (2023). The Galton–Watson branching process for TB dynamics: The potential for disease persistence or extinction. Informatics in Medicine Unlocked, 43, 101401.

  4. Irunde, J. I., Ndendya, J. Z., Mwasunda, J. A., & Robert, P. K. (2023). Modeling the impact of screening and treatment on typhoid fever dynamics in unprotected population. Results in Physics, 54, 107120.

  5. Mwasunda, J. A., & Irunde, J. I. (2023). Stability and bifurcation analysis of a Taenia saginata model with control measures. Results in Control and Optimization, 13, 100311.

  6. Chacha, C. S., Stephano, M. A., Irunde, J. I., & Mwasunda, J. A. (2023). Cystic echinococcosis dynamics in dogs, humans and cattle: Deterministic and stochastic modeling. Results in Physics, 106697.

  7. Mwasunda, J. A., Irunde, J. I., Stephano, M. A., & Chacha, C. S. (2023). Fish-borne parasitic zoonoses transmission dynamics: The case of anisakiasis. Informatics in Medicine Unlocked, 38, 101205.

  8. Mwasunda, J. A., Stephano, M. A., & Irunde, J. I. (2022). Pasteurellosis transmission dynamics in free range chicken and wild birds: A deterministic and stochastic modeling approach. Informatics in Medicine Unlocked, 34, 101108.

  9. Mwasunda, J. A., Chacha, C. S., Stephano, M. A., & Irunde, J. I. (2022). Modelling cystic echinococcosis and bovine cysticercosis co-infections with optimal control. Computational and Applied Mathematics, 41(8), 1-37.

  10. Stephano, M. A., Irunde, J. I., Mwasunda, J. A., & Chacha, C. S. (2022). A continuous time Markov chain model for the dynamics of bovine tuberculosis in humans and cattle. Ricerche di Matematica, 1-27

  11. Mwasunda, J. A., Irunde, J. I., Kajunguri, D.,& Kuznetsov, D. (2022). Outbreak or extinction of bovine cysticercosis and human taeniasis: A Stochastic modelling approach. Applied Mathematical Modelling, 106, 73-85. 4. 

  12. Mwasunda, J. A., Irunde, J. I., Kajunguri, D., & Kuznetsov, D. (2022). Optimal control analysis of Taenia saginata bovine cysticercosis and human taeniasis. Parasite Epidemiology and Control, 16, e00236. 3. 

  13. Mwasunda, J. A., Irunde, J. I., Kajunguri, D., & Kuznetsov, D. (2021). Optimal control and Cost-Effectiveness Analysis of Taeniasis and Cysticercois in Humans, Pigs and Cattle.Commun. Math. Biol. Neurosci,1-35. 

  14. Mwasunda, J. A., Irunde, J. I., Kajunguri, D., & Kuznetsov, D. (2021). Modeling and analysis of taeniasis and cysticercosis transmission dynamics in humans, pigs and cattle. Advances in Difference Equations, 2021(1), 1-23.

  15. Mwasunda, J. A., Mureithi, E. W., & Shaban, N. (2015). The Use of Non-Standard Finite Difference Schemes to Solve the DAMP and SIT Models. Journal of Mathematical Sciences, 3(2), 25-32.