AJIBODE, I. A and Adeboye, Nurain Olawale (2020) CLUSTER ANALYSIS OF THE SPREAD OF COVID-19 IN NIGERIA. In: Proceedings of the 2nd International Conference, The Federal Polytechnic, Ilaro, 10th – 11th Nov., 2020, 10th – 11th Nov., 2020, The Federal Polytechnic, Ilaro.

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Coronaviruses are viruses that can cause illnesses such as the common cold and severe acute respiratory syndrome. Shortly after declaring the COVID-19 as a pandemic, there was a massive increase in the growth of the virus across the countries including Africa and Nigeria is no exception. However, little is known about pattern of the virus in Nigeria especially the States. Thus, the needs for this research where hierarchical clustering has been employed to classified states according to the impact of COVID-19 cases using number of cases, number on admission, number discharged and number of deaths. The data for the research work was extracted from the record of Nigeria Centre for Disease Control up to 27nd of August, 2020. Clustering analysis was used to classify the states into their respective groups and the result revealed three classes which were classified as extremely affected (cluster 1), highly affected (cluster 2) and moderately affected (cluster 3). The results revealed that Lagos state is in cluster 1, Abuja is in cluster2 while the remaining states are found in cluster 3. The ANOVA tests carried out equally revealed the significance difference in the 3 classifications in relations to all the considered cases. The paper then conclude that there is a need for the government to intensify efforts in sustaining policies that could help flattening the curve of the pandemic

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QM Human anatomy
R Medicine > RX Homeopathy
Divisions: Faculty of Medicine, Health and Life Sciences > School of Biological Sciences
Depositing User: Mr. Bolanle Yisau I.
Date Deposited: 29 May 2021 16:23
Last Modified: 29 May 2021 16:23

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