Adeboye, N. O and Ajibode, I. A (2019) SPATIAL AUTOCORRELATION ESTIMATION OF MALARIA MORBIDITY AMONG POLYTECHNIC STUDENTS IN NIGERIA. Journal of Pure and Applied Science, FPI, 1 (1). pp. 110-115. ISSN 2714-2531
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Abstract
While malaria effect on people of all ages is quite immense, the most serious impact of malaria is on students of tertiary institutions who lives and operate mostly in mosquito infested environment. The frequent rate of malaria incidence for this category has been largely responsible for poor academic performance, whereby majority struggle through schooling amidst unstable healthy condition. This research thus attempt to estimate spatial autocorrelation of malaria morbidity among the students of Yaba College of Technology and Federal Polytechnic Ilaro. As a result, Ordinary Least Square (OLS), Spatial Lag Regression (SLR) and Spatial Error Regression Models (SERM) were employed for modeling the secondary data collected from the institutions medical centers. Moran I test statistic was introduced to check for the presence of spatial autocorrelation among the adopted explanatory variables of headache, pain, fever and cold for the two locations. OLS was discarded due to its low significant level while SLR model was adopted based on its Akaike Information Criterion (AIC) and Log Likelihood test as the best measure of spatial autocorrelation existence in malaria morbidity between the two selected institutions, thereby given credence to the fact that malaria incidence in Nigerian tertiary institutions have a universal effect on students.
| Item Type: | Article |
|---|---|
| Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Mathematics |
| Depositing User: | Mr Taiwo Egbeyemi |
| Date Deposited: | 13 Jul 2020 11:07 |
| Last Modified: | 13 Jul 2020 11:07 |
| URI: | http://eprints.federalpolyilaro.edu.ng/id/eprint/986 |
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