Jean Marie Ntaganda
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Explore the profile of Jean Marie Ntaganda including associated specialties, affiliations and a list of published articles.
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5
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6
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Recent Articles
1.
Ndagijimana S, Kabano I, Masabo E, Ntaganda J
F1000Res
. 2025 Feb;
13:128.
PMID: 39981107
Background: Stunting is a serious public health concern in Rwanda, affecting around 33.3% of children under five in 2020. The researchers have employed machine learning algorithms to predict stunting in...
2.
Dukunde A, Ntaganda J, Kasozi J, Nzabanita J
Diseases
. 2023 Jun;
11(2).
PMID: 37366875
In Rwanda, the prevalence of hypertension was 15.3% in 2015. At present, there are no accurate predictions of the prevalence of hypertension and its trend over time in Rwanda to...
3.
Mpinganzima L, Ntaganda J, Banzi W, Muhirwa J, Nannyonga B, Niyobuhungiro J, et al.
Inform Med Unlocked
. 2023 Feb;
37:101195.
PMID: 36819990
This paper shows the impact of control measures on the predictive COVID-19 mathematical model in Rwanda through sensitivity analysis of the basic reproduction number . We have introduced different levels...
4.
Ndagijimana S, Kabano I, Masabo E, Ntaganda J
J Prev Med Public Health
. 2023 Feb;
56(1):41-49.
PMID: 36746421
Objectives: Rwanda reported a stunting rate of 33% in 2020, decreasing from 38% in 2015; however, stunting remains an issue. Globally, child deaths from malnutrition stand at 45%. The best...
5.
Mpinganzima L, Ntaganda J, Banzi W, Muhirwa J, Nannyonga B, Niyobuhungiro J, et al.
IJID Reg
. 2023 Jan;
6:99-107.
PMID: 36644499
Objectives: Mathematical modelling is of interest to study the dynamics of coronavirus disease 2019 (COVID-19), and models such as SEIR (Susceptible-Exposed-Infected-Recovered) have been considered. This article describes the development of...
6.
Dukunde A, Ntaganda J, Kasozi J, Nzabanita J
Afr Health Sci
. 2021 Nov;
21(2):702-709.
PMID: 34795726
In this work, we predict the prevalence of type 2 diabetes among adult Rwandan people. We used the Metropolis-Hasting method that involved calculating the metropolis ratio. The data are those...