BUOYE, P. and OJUAWO, Olutayo (2021) Covid-19 Crisis Management in Nigeria and Brazil. Journal of Pure & Applied Sciences, 3 (2). pp. 49-65.
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Abstract
In Nigeria and Brazil after 134 days. Nigeria and Brazil recorded their index cases at the same time, have almost the same population and climatic conditions. Brazil recorded 2,076,635 cases after 134 days while Nigeria recorded 36,663 cases. This high number of confirmed cases in Brazil was the bases for this research. Four independent variables were considered for the evaluation. These variables are; population, number of sample test, temperature and early lockdown policy. Secondary data, which were collected from the website of Nigeria centre for disease control and worldometer were used to analyze the number of covid-19 cases recorded after 134 days in Nigeria and Brazil. After carrying out Correlation and regression analyze on the data, the result showed p = .077 for Brazil and p = .073 for Nigeria which indicate evidence for the null hypothesis that says dependent variable (covid-19 confirmed cases) does not depend on the temperature of the location. Analysis also showed that the ratio of sample test in Brazil to Nigeria was not significant enough (18:1) when compared to what was determined from the bivariate model of the two countries (409:1). Lockdown policy, which is a dummy variable (classification variable), have p = .0001, this is p-value for a one-tailed t-test. This p-value is less than 0.05, the bench mark, and showed a statistically significant difference against the null hypothesis which says dependent variable (covid-19 confirmed cases) does not depend on the lockdown policy of the governments. The paper concluded that early lockdown policy which is a part of integrated coordination in crisis management was responsible for the low confirmed cases of covid-19 recorded in Nigeria.
| Item Type: | Article |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | Mr. Bolanle Yisau I. |
| Date Deposited: | 11 Feb 2022 23:45 |
| Last Modified: | 11 Feb 2022 23:45 |
| URI: | http://eprints.federalpolyilaro.edu.ng/id/eprint/1897 |
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