A Comprehensive Analysis of COVID-19 Spread in Nigeria
| dc.contributor.author | Omolayo Abegunde | |
| dc.date.accessioned | 2025-05-27T16:21:00Z | |
| dc.date.available | 2025-05-27T16:21:00Z | |
| dc.date.issued | 2021 | |
| dc.description | This article looked at the COVID-19 cases that were reported in Nigeria between March 29th and December 27th 2020 to see how the virus affected the country's various states. We were able to illustrate the virus's spread in the three states with the highest and lowest rates of infection. It was also discovered that the cases display a downward trend from August to November 2020, before increasing in December. Our findings indicate that just because a strategy works well for one country does not mean it will work for another, even though they are battling the same enemy. It is suggested that government agencies and policymakers investigate which methods helped to reduce the observed curve and apply them in the future. Applying the data to predict new cases (confirm, death and discharge) is a noted area for further research. | |
| dc.description.abstract | The COVID-19 pandemic emanated from China was not only unexpected by the rest of the world, but it also resulted in an economic downturn. In Nigeria, attempts have been made at different levels of government to combat the virus' spread, with some promising results. In this paper, we looked at the impact of the spread from February 29 to December 27, 2020 to see what it was like. The findings were based on data from reported cases, deaths, recoveries, and active cases. The data was preprocessed and feature engineering was performed by adding new features (active, days, month). The pandas library were used to analyse the two sets of data. The results of the analysis provide us with a description of the COVID-19 pandemic's spread in Nigeria and the need to slow it down even further. | |
| dc.description.sponsorship | Self | |
| dc.identifier.citation | 0 | |
| dc.identifier.uri | https://repository.run.edu.ng/handle/123456789/4820 | |
| dc.language.iso | en | |
| dc.publisher | Baze Universityc | |
| dc.title | A Comprehensive Analysis of COVID-19 Spread in Nigeria | |
| dc.type | Article |