47 citations · 93 across the 13 of their papers we have counts for
7 papers · 1 filter
Analysis of COVID-19 evolution in Senegal: impact of health care capacity
Mouhamed M. Fall, Babacar M. Ndiaye, Ousmane Seydi +1
We consider a compartmental model from which we incorporate a time-dependent health care capacity having a logistic growth. This allows us to take into account the Senegalese autho…
Logistic growth model and modeling of factors for community case transmission
Massamba Diouf, Babacar Mbaye Ndiaye
In this article, we analyze the spread of cases resulting from community transmission of COVID-19 in Senegal in order to identify statistical associations. The identification and k…
Visualization and machine learning for forecasting of COVID-19 in Senegal
Babacar Mbaye Ndiaye, Mouhamadou A. M. T. Balde, Diaraf Seck
In this article, we give visualization and different machine learning technics for two weeks and 40 days ahead forecast based on public data. On July 15, 2020, Senegal reopened its…
Impact of contamination factors on the COVID-19 evolution in Senegal
Vieux Medoune Ndiaye, Serigne Omar Sarr, Babacar Mbaye Ndiaye
In this article, we perform an analysis of COVID-19 on one of the South Saharan countries (hot zone), the Senegal (West Africa). Many questions remain unanswered: why the African c…
Impact studies of nationwide measures COVID-19 anti-pandemic: compartmental model and machine learning
Mouhamadou A. M. T. Balde, Coura Balde, Babacar M. Ndiaye
In this paper, we deal with the study of the impact of nationwide measures COVID-19 anti-pandemic. We drive two processes to analyze COVID-19 data considering measures. We associat…
Comparative prediction of confirmed cases with COVID-19 pandemic by machine learning, deterministic and stochastic SIR models
Babacar Mbaye Ndiaye, Lena Tendeng, Diaraf Seck
In this paper, we propose a machine learning technics and SIR models (deterministic and stochastic cases) with numerical approximations to predict the number of cases infected with…
Analysis of the COVID-19 pandemic by SIR model and machine learning technics for forecasting
Babacar Mbaye Ndiaye, Lena Tendeng, Diaraf Seck
This work is a trial in which we propose SIR model and machine learning tools to analyze the coronavirus pandemic in the real world. Based on the public data from \cite{datahub}, w…