Generalized Linear Models of Malaria Incidence in Jubek State, South Sudan

Loro Gore Lado Jumi

doi:doi:10.11648/j.sjams.20170504.12

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Generalized Linear Models of Malaria Incidence in Jubek State, South Sudan

Loro Gore Lado Jumi

Published in Science Journal of Applied Mathematics and Statistics (Volume 5, Issue 4)

Received: 8 May 2017 Accepted: 20 May 2017 Published: 7 July 2017

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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.

Published in	Science Journal of Applied Mathematics and Statistics (Volume 5, Issue 4)
DOI	10.11648/j.sjams.20170504.12
Page(s)	134-138
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Malaria Incidence, Poisson Regression, Negative Binomial Regression, South Sudan

References

[1]	Chanda, E., Daggale, C., Pasquale, H., Aairwe, R., Baba, S and Mnzava, A.2013. Addressing malaria vector control challenges in South Sudan; proposed recommendations. Malaria Journal 12: 59.
[2]	Draebel T, Kueil, B., G. and Meyrowitsch D. W. (2013) Prevalence of Malaria and use of Malaria Risk Reduction Measures among resettled pregnant woman in South Sudan.
[3]	Gosoniu, L. 2008. Development of Bayesian geostatistical models with applications in malaria epidemiology. Doctoral Dissertation, Swiss Tropical Institute, University of Basel.
[4]	Gujarati, D. N. (2004) Basic Econometrics, 4^th edition, McGraw-Hill Companies.
[5]	Kakchapati, S. & Ardkaew, J.2011. Modeling of Malaria Incidence in Nepal. Journal of Research in Health Sciences 11 (1): 7-13.
[6]	Musa M, I, Shohaimi S., Hashim N, R., and Krishnarajah I (2012) Environmental and Socio-Economic Determinants of Malaria Rate in Sudan. Research Journal of Environmental and Earth Sciences 4 (11): 923-929.
[7]	Nelder, J., A. et al. 1992. Generalized linear models. In Breakthrough in Statistics: 547-563, Springer New York.
[8]	Nkurunziza H., Gebhardt A., Pilz J. 2010. Bayesian modelling of the effect of climate on malaria in Burundi. Malaria Journal 9: 114.
[9]	Pasquale H., Jarvese M., Julla A., Doggale C., Sebit B., Lual M. Y., Baba S. P. and Chand E. 2013. Malaria control in South Sudan, 2006-2013: Strategies, progress and challenges. Malaria Journal 12: 374.
[10]	Patience, E. O. and Osagie A. M. 2014. Modeling the prevalence of malaria in Niger State: An application of Poisson regression and negative binomial regression models. International Journal of Physical Sciences 2 (4): 061-068.
[11]	Saikia N. J., Hazarika J., Das P. K., and Hussain S. 2015. Role of environmental factors on incidence of malaria cases: a case study using polynomial regression. International Journal of Current Research 7 (12): 24157-24160.
[12]	Vennables, W. N. and Ripley, B. D. 2002. Modern Applied Statistics with S. 4^th ed. New York, Springer.
[13]	Wardrop N. A., Barnett A. G., Atkinson J. A., and Clements A. C. 2013. Plasmodium vivax malaria incidence over time and its association with temperature and rainfall in four Counties of Yunnan Province, China. Malaria Journal 12: 452.
[14]	WHO. 2015. Global malaria programme. World malaria report.
[15]	WHO. 2015. World health statistics.
[16]	Williams, R. (2016) Models for Count Outcomes, University of Notre Dame, USA.

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Loro Gore Lado Jumi. (2017). Generalized Linear Models of Malaria Incidence in Jubek State, South Sudan. Science Journal of Applied Mathematics and Statistics, 5(4), 134-138. https://doi.org/10.11648/j.sjams.20170504.12

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Loro Gore Lado Jumi. Generalized Linear Models of Malaria Incidence in Jubek State, South Sudan. Sci. J. Appl. Math. Stat. 2017, 5(4), 134-138. doi: 10.11648/j.sjams.20170504.12

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AMA Style

Loro Gore Lado Jumi. Generalized Linear Models of Malaria Incidence in Jubek State, South Sudan. Sci J Appl Math Stat. 2017;5(4):134-138. doi: 10.11648/j.sjams.20170504.12

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@article{10.11648/j.sjams.20170504.12,
  author = {Loro Gore Lado Jumi},
  title = {Generalized Linear Models of Malaria Incidence in Jubek State, South Sudan},
  journal = {Science Journal of Applied Mathematics and Statistics},
  volume = {5},
  number = {4},
  pages = {134-138},
  doi = {10.11648/j.sjams.20170504.12},
  url = {https://doi.org/10.11648/j.sjams.20170504.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjams.20170504.12},
  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.},
 year = {2017}
}

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TY  - JOUR
T1  - Generalized Linear Models of Malaria Incidence in Jubek State, South Sudan
AU  - Loro Gore Lado Jumi
Y1  - 2017/07/07
PY  - 2017
N1  - https://doi.org/10.11648/j.sjams.20170504.12
DO  - 10.11648/j.sjams.20170504.12
T2  - Science Journal of Applied Mathematics and Statistics
JF  - Science Journal of Applied Mathematics and Statistics
JO  - Science Journal of Applied Mathematics and Statistics
SP  - 134
EP  - 138
PB  - Science Publishing Group
SN  - 2376-9513
UR  - https://doi.org/10.11648/j.sjams.20170504.12
AB  - 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.
VL  - 5
IS  - 4
ER  -

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Author Information

Loro Gore Lado Jumi

Department of Statistics and Demography, University of Juba, Juba, South Sudan

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APA Style

Loro Gore Lado Jumi. (2017). Generalized Linear Models of Malaria Incidence in Jubek State, South Sudan. Science Journal of Applied Mathematics and Statistics, 5(4), 134-138. https://doi.org/10.11648/j.sjams.20170504.12

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ACS Style

Loro Gore Lado Jumi. Generalized Linear Models of Malaria Incidence in Jubek State, South Sudan. Sci. J. Appl. Math. Stat. 2017, 5(4), 134-138. doi: 10.11648/j.sjams.20170504.12

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AMA Style

Loro Gore Lado Jumi. Generalized Linear Models of Malaria Incidence in Jubek State, South Sudan. Sci J Appl Math Stat. 2017;5(4):134-138. doi: 10.11648/j.sjams.20170504.12

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@article{10.11648/j.sjams.20170504.12,
  author = {Loro Gore Lado Jumi},
  title = {Generalized Linear Models of Malaria Incidence in Jubek State, South Sudan},
  journal = {Science Journal of Applied Mathematics and Statistics},
  volume = {5},
  number = {4},
  pages = {134-138},
  doi = {10.11648/j.sjams.20170504.12},
  url = {https://doi.org/10.11648/j.sjams.20170504.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjams.20170504.12},
  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.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Generalized Linear Models of Malaria Incidence in Jubek State, South Sudan
AU  - Loro Gore Lado Jumi
Y1  - 2017/07/07
PY  - 2017
N1  - https://doi.org/10.11648/j.sjams.20170504.12
DO  - 10.11648/j.sjams.20170504.12
T2  - Science Journal of Applied Mathematics and Statistics
JF  - Science Journal of Applied Mathematics and Statistics
JO  - Science Journal of Applied Mathematics and Statistics
SP  - 134
EP  - 138
PB  - Science Publishing Group
SN  - 2376-9513
UR  - https://doi.org/10.11648/j.sjams.20170504.12
AB  - 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.
VL  - 5
IS  - 4
ER  -

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