
David Niyukuri, PhD
Senior Lecturer in Mathematics
University of Burundi, Bujumbura
from February to May 2026
Born in 1988 in Bujumbura, Burundi
BSc in Mathematical Sciences, University of Burundi, MSc in Mathematical Sciences, Stellenbosch University, PhD in Epidemiology, Stellenbosch University
Fellowship
Iso Lomso-Fellow
Arbeitsvorhaben
Understanding the Effects of Biomolecular Dynamics of Malaria Parasites and Vector through Multiscale Modelling and Agent-Based Models
Malaria remains a significant public health problem in sub-Saharan Africa (SSA). Currently, all intervention tools, such as diagnostics, treatment, and vector control, are impeded by increasing concern about malaria parasites and vector biomolecular dynamics. In many African countries, the interventions of the National Malaria Control Programs are challenged by (1) hrp2/hrp3 deletions, which threaten the use of Rapid Diagnosis Tests (RDTs) with false-negatives, resulting in (2) asymptomatic cases of infections that remain undiagnosed and untreated with the current control efforts that focus on the diagnosis and treatment of febrile patients presenting to hospitals and health centers, (3) drug resistance, which has been documented against available antimalarial drugs, and mutations associated with it have been reported in some SSA countries, and (4) anopheles resistance to insecticide, whereas the success of long-lasting insecticidal nets (LLINs), distribution campaigns, and indoor residual spraying (IRS) depends on killing mosquitoes and destroying larval habitats by the insecticides sprayed. Thus, the overall aim of this project is to develop and compare two modelling frameworks (one using a multiscale modelling approach and another using agent-based models), which are believed to be able to provide more insight to advise the design of optimal and effective malaria interventions.Recommended Reading
Niyukuri, David, Denis Sinzinkayo, Emma V. Troth, et al. (2022). “Performance of Highly Sensitive and Conventional Rapid Diagnostic Tests for Clinical and Subclinical Plasmodium falciparum Infections, and hrp2/3 Deletion Status in Burundi.” PLOS Global Public Health 2 (7): e0000828. https://doi.org/10.1371/journal.pgph.0000828.
Sakubu, Daxelle, Kelly Joëlle Gatore Sinigirira, and David Niyukuri (2024). “Predicting Malaria Dynamics in Burundi Using Deep Learning Models.” Journal of Applied Mathematics and Physics 12 (8): 2904–2917. https://doi.org/10.4236/jamp.2024.128173.
Sinigirira, Kelly Joëlle Gatore, Wandera Ogana, Servat Nyandwi, Jean De Dieu Kwizera, and David Niyukuri (2024). “A Mathematical Model Exploring the Impact of Climatic Factors on Malaria Transmission Dynamics in Burundi.” Journal of Applied Mathematics and Physics 12 (11): 3728–3757. https://doi.org/10.4236/jamp.2024.1211224.
Publikationen aus der Fellowbibliothek
Niyukuri, David (Irvine, Calif., 2024)
Niyukuri, David (Irvine, Calif., 2024)
Predicting Malaria dynamics in Burundi using deep learning models