Abstract

The research objective was to investigate the level of COVID-19 outbreak in Rwanda using mathematical and linear models for future prediction of the disease. Both Mathematical model and linear model were used. A sequential mathematical preliminary of COVID-19 was considered to check how it grows within a large number of population. The model diagram was proposed with four compartmental model. The non-linear dynamical system of COVID-19 was derived from the model. The model was checked for positivity and boundedness in system. We found that it’s positively invariant in system. The results also showed that the disease is locally and globally unstable due to the fact that the basic reproduction number is greater than zero i.e., R0 > 0. The basic reproduction number was computed using the next generation Matrix and found that COVID-19 affects a very large population in the system. Method for real data: The study used a sample of 463 COVID-19 daily reports, that is, the available data by 9 April 2021. The data are analyzed using Statistical software (STATA version 13.1). The probability of skewness and kurtosis was P ≤ 0.0001 for New cases, and New deaths. Besides Chi-Square p ≤ 0.0001 for both New cases and New deaths was < 0.05 that means the significance at a 5% level. Results: By comparing the mean and standard deviation, the results show that the number of New cases is higher than that of New deaths, that is 50.00432 with high standard deviation 78.47841, and 0.6781857 with low standard deviation 1.474935; respectively. A spearman rank correlation shows strong correlation between New cases and New deaths. Linear regression analysis model shows that there is a linear relationship of New cases with New deaths. The findings show that the number of deaths will be higher than New cases. Conclusion: The statistics show that COVID-19 is still there within individuals and is moving around. The findings show that in future, the number of new deaths will be higher than that of new cases at a time t. We recommend the government of Rwanda to speed up the Vaccination to the total population to avoid more future deaths due to COVID-19 and to strictly tightening the preventive measures for both Rwandans and incoming travelers. With the above mentioned strategies and the measures, there is a hope that If the whole country is vaccinated, COVID-19 will vanish at time t.

Highlights

  • COVID-19 is an infectious disease caused by severe acute respiratory syndrome known as Corona virus

  • We found the association and linear relationship between the New COVID-19 cases and New COVID-19 deaths using the spearman rank correlation coefficient and the linear regression model of the extracted data available at Rwanda Biomedical Centre (RBC) [14] as per 9 April 2021 and from the available data, the first incidence of COVID-19 in Rwanda was recorded on 14 February 2020 introduced by one individual and started to spread

  • The plots show that the number of deaths will be greater than that of new cases within each 45 days at the current basic Reproduction number of R0 = 6.38 with the assumed recruitment rate of atleast the estimated 200 recruited individuals based on the current data as per 9 April 2021

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Summary

Introduction

COVID-19 is an infectious disease caused by severe acute respiratory syndrome known as Corona virus. Models to Predict the Outcomes of COVID-19 Pandemic in Rwanda many countries mildly started many different preventive measures to curb its spread. We used a comparative analysis of the two models to predict the impact of COVID-19 global pandemic in Rwanda. If one person is confirmed COVID-19 positive with lab test in Rwanda, s/he may contact the minimum of 3 persons within that day and the symptoms can be seen within 14 days. If this is the case, to find how many persons that s/he can spread COVID-19 in 14 days; consider a = 1, r = 3, n = 14,

Mathematical Model
Positivity of the System
Boundedness of the System
Linear Model
Results and Discussions
Conclusion
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