Cargando…
Analysis of COVID-19 mathematical model for predicting the impact of control measures in Rwanda
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 [Formula: see text]. We have introduced different levels of the control measures in the model, precisely, 90%, 80%, 60%, 40%, 20%, 0%...
Autores principales: | Mpinganzima, Lydie, Ntaganda, Jean Marie, Banzi, Wellars, Muhirwa, Jean Pierre, Nannyonga, Betty Kivumbi, Niyobuhungiro, Japhet, Rutaganda, Eric |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9930676/ https://www.ncbi.nlm.nih.gov/pubmed/36819990 http://dx.doi.org/10.1016/j.imu.2023.101195 |
Ejemplares similares
-
Compartmental mathematical modelling of dynamic transmission of COVID-19 in Rwanda
por: Mpinganzima, Lydie, et al.
Publicado: (2023) -
Prediction of prevalence of type 2 diabetes in Rwanda using the metropolis-hasting sampling
por: Dukunde, Angelique, et al.
Publicado: (2021) -
Prediction of the Prevalence of Hypertension and Associated Risk Factors in Rwanda Using Gibbs Sampling Method
por: Dukunde, Angélique, et al.
Publicado: (2023) -
Prediction of Stunting Among Under-5 Children in Rwanda Using Machine Learning Techniques
por: Ndagijimana, Similien, et al.
Publicado: (2023) -
Application of random forest model to predict the demand of essential medicines for non-communicable diseases management in public health facilities
por: Mbonyinshuti, François, et al.
Publicado: (2022)