Volume 5, Issue 4, August 2017, Page: 134-138
Generalized Linear Models of Malaria Incidence in Jubek State, South Sudan
Loro Gore Lado Jumi, Department of Statistics and Demography, University of Juba, Juba, South Sudan
Received: May 8, 2017;       Accepted: May 20, 2017;       Published: Jul. 7, 2017
DOI: 10.11648/j.sjams.20170504.12      View  1569      Downloads  76
Abstract
Malaria is a leading cause of morbidity and mortality in South Sudan. This study is meant to focus on the trend of malaria incidence in Jubek state, South Sudan. Data on weekly malaria incidence for the period January 2011 to October 2015 were used in the study. Generalized linear models, Poisson and negative binomial regression models were employed to analyze the data. Results obtained suggest that malaria incidence has been still on increase by 0.0030 and 0.0032 per week respectively. Additionally, incidence rate ratio suggests an increase of 0.3% per week of malaria incidence in Jubek state. The study recommends malaria control programmes focused on reducing malaria incidence be introduced in South Sudan in general and in Jubek state in particular.
Keywords
Malaria Incidence, Poisson Regression, Negative Binomial Regression, South Sudan
To cite this article
Loro Gore Lado Jumi, Generalized Linear Models of Malaria Incidence in Jubek State, South Sudan, Science Journal of Applied Mathematics and Statistics. Vol. 5, No. 4, 2017, pp. 134-138. doi: 10.11648/j.sjams.20170504.12
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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