International Journal of Statistical Distributions and Applications

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Fitting a Poisson Regression Model to Reported Deaths from HIV/AIDS in Nigeria

Received: 14 March 2017    Accepted: 02 May 2017    Published: 31 October 2017
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Abstract

The Human Immunodeficiency Virus (HIV)/Acquired Immunodeficiency syndrome (AIDS) epidemic has become one of the greatest challenges to public health among adults in Sub-Saharan African. In Nigeria, HIV/AIDS epidemic remain one of the major causes of death in the general population, particularly among young adult. In this paper, we will use Poisson regression model to study the linear trend of annual deaths resulting from HIV/AIDS in Nigeria for the period of 1996 to 2004. The result from the Poisson regression revealed an increase in rate of death resulting from HIV/AIDS in Nigeria. Therefore, there should be increase in the level of awareness of HIV/AIDS and other precautionary measures should also be observed in other to reduce the menace.

DOI 10.11648/j.ijsd.20170303.15
Published in International Journal of Statistical Distributions and Applications (Volume 3, Issue 3, September 2017)
Page(s) 56-60
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), 2024. Published by Science Publishing Group

Keywords

Fitting, Poisson Regression, Deaths, Human Immunodeficiency Virus (HIV), Acquired Immunodeficiency Syndrome (AIDS)

References
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Author Information
  • Department of Mathematical Sciences, Nasarawa State University, Keffi, Nigeria

  • Department of Administration, The Federal Medical Centre, Bida, Nigeria

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  • APA Style

    Adenomon Monday Osagie, Adenomon Clara Adebukola. (2017). Fitting a Poisson Regression Model to Reported Deaths from HIV/AIDS in Nigeria. International Journal of Statistical Distributions and Applications, 3(3), 56-60. https://doi.org/10.11648/j.ijsd.20170303.15

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    Adenomon Monday Osagie; Adenomon Clara Adebukola. Fitting a Poisson Regression Model to Reported Deaths from HIV/AIDS in Nigeria. Int. J. Stat. Distrib. Appl. 2017, 3(3), 56-60. doi: 10.11648/j.ijsd.20170303.15

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    AMA Style

    Adenomon Monday Osagie, Adenomon Clara Adebukola. Fitting a Poisson Regression Model to Reported Deaths from HIV/AIDS in Nigeria. Int J Stat Distrib Appl. 2017;3(3):56-60. doi: 10.11648/j.ijsd.20170303.15

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  • @article{10.11648/j.ijsd.20170303.15,
      author = {Adenomon Monday Osagie and Adenomon Clara Adebukola},
      title = {Fitting a Poisson Regression Model to Reported Deaths from HIV/AIDS in Nigeria},
      journal = {International Journal of Statistical Distributions and Applications},
      volume = {3},
      number = {3},
      pages = {56-60},
      doi = {10.11648/j.ijsd.20170303.15},
      url = {https://doi.org/10.11648/j.ijsd.20170303.15},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ijsd.20170303.15},
      abstract = {The Human Immunodeficiency Virus (HIV)/Acquired Immunodeficiency syndrome (AIDS) epidemic has become one of the greatest challenges to public health among adults in Sub-Saharan African. In Nigeria, HIV/AIDS epidemic remain one of the major causes of death in the general population, particularly among young adult. In this paper, we will use Poisson regression model to study the linear trend of annual deaths resulting from HIV/AIDS in Nigeria for the period of 1996 to 2004. The result from the Poisson regression revealed an increase in rate of death resulting from HIV/AIDS in Nigeria. Therefore, there should be increase in the level of awareness of HIV/AIDS and other precautionary measures should also be observed in other to reduce the menace.},
     year = {2017}
    }
    

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