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niyukuri@sun.ac.za

David Niyukuri, PhD

Research Associate

Research Associate

Recent publications

Niyukuri D, Nyandwi J, Kamatari O, Uwizeyimana C, Mikaza C, Barengayabo M (2022) A leap to non-communicable diseases epidemic in Burundi: overall trends of the disproportionate burden http://dx.doi.org/10.1101/2022.09.18.22280066 Preprint

Niyukuri D, Sinzinkayo D, Troth EV, Oduma CO, Barengayabo M, Ndereyimana M, Holzschuh, Vera-Arias C, Gebre Y, Badu K, Nyandwi J, Baza D, Juma E, Köpfli C (2022) Performance of highly sensitive and conventional rapid diagnostic tests for clinical and subclinical Plasmodium falciparum infections, and hrp2/3 deletion status in Burundi doi.org/10.1371/journal.pgph.0000828 PLOS Global Public Health

Ousman K, Thumath M, Kckay G, Niyukuri D, Ombeni M, Kabego L, Banzua B, Mangala S, Tatabod R, Mirindi P, Talisuna A, Houndjo B, Baller A, Keïta M (2022) Evaluation of a health systems strengthening intervention to improve Ebola Virus Disease infection prevention and control in the Democratic Republic of the Congo doi.org/10.29392/001c.36558 Journal of Global Health Reports

Niyukuri D, Sinzinkayo D, Troth E, Oduma C, Barengayabo M, Ndereyimana M, Holzschuh A, Vera-Arias CA, Gebre Y, Badu K, Nyandwi J, Baza D, Juma E, Koepfli C (2022) High sensitivity of a novel rapid test for the diagnosis of clinical and subclinical Plasmodium falciparum infections in a high transmission setting in Burundi doi.org/10.1101/2022.04.26.22274317 Preprint

Niyukuri D, Chibawara T, Nyasulu PS, Delva W (2021) Inferring HIV Transmission Network Determinants Using Agent-Based Models Calibrated to Multi-Data Sources Mathematics doi.org/10.3390/ math9212645

Niyukuri D, Nyasulu P, Delva W (2021) Assessing the uncertainty around age-mixing patterns in HIV transmission inferred from phylogenetic trees PLOS One doi.org/10.1371/journal.pone.0249013

Liesenborgs, J., D.M. Hendrickx, E. Kuylen, D. Niyukuri, N. Hens, & W. Delva (2019) SimpactCyan 1.0: An Open-source Simulator for Individual-Based Models in HIV Epidemiology with R and Python Interfaces. Scientific Reports 9, 19289 doi: 10.1038/s41598-019-55689-4

DSI-NRF Centre of Excellence in Epidemiological Modelling and Analysis