Statistical Analysis Of Reported Cases Of Malaria In Parklane Specialist Hospital In Enugu Urban For The Period Of 2009 - 2015

Ozofor, N.M and Ekene-Okafor, Comfort Njideka (2017) Statistical Analysis Of Reported Cases Of Malaria In Parklane Specialist Hospital In Enugu Urban For The Period Of 2009 - 2015. Researchjournali’s Journal of Mathematics, 4 (3). ISSN 2349-5375

[img] Text
Article 3606.pdf
Download (462kB)

Abstract

This research “statistical analysis on the reported cases of malaria in Enugu state urban Area; A case study of parklane specialist hospital, Enugu. (2009-2015)” is a report to determine the regression between malaria and time factor. The data collected is a secondary data and its unit is in thousands, and the data comprises 84 data points which spread from 2009 to 2015. The study reviewed relevant literature to acquaint researchers on the rate of spread of malaria. It can be generally agreed that seasonal variation help in increasing or decreasing rate of spread of malaria as shown on the graph. From the data collected the study used is the method of least square. From the analysis done the following finding were made; it was discovered that there was a linear relationship between prevalence of malaria attack and the various times of the year, the rate of decrease is more in male than in females. Also using the computerized package “Statistical Package for Social Science (SPSS)” to run the data analysis It was also discovered that there was a decrease in malaria attack as the years increases. Generally the reported number of malaria in Enugu Urban Area from 2009-2015 is decreasing. Nevertheless, recommendation is made mandatory for public place, residential areas, companies, schools etc. be made clean to reduce breeding site for mosquitoes to reproduce

Item Type: Article
Subjects: Q Science > Q Science (General)
Divisions: Faculty of Natural and Applied Sciences
Depositing User: miss ifeoma agbo
Date Deposited: 03 May 2019 10:46
Last Modified: 03 May 2019 10:46
URI: http://eprints.gouni.edu.ng/id/eprint/1452

Actions (login required)

View Item View Item
GOUNI Repository is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.