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     Research Journal of Applied Sciences, Engineering and Technology


Correspondence Analysis for the Trend of Human African Trypanosomiasis

H.I. Okagbue, S.O. Edeki and A.A. Opanuga
Department of Mathematics, Covenant University, Canaanland, Otta, Nigeria
Research Journal of Applied Sciences, Engineering and Technology  2016  6:448-453
http://dx.doi.org/10.19026/rjaset.13.3005  |  © The Author(s) 2016
Received: July ‎7, ‎2015  |  Accepted: August ‎30, ‎2015  |  Published: September 15, 2016

Abstract

The aim of this research work is to give a graphical picture of the declining trend of the Human African Trypanosomiasis (T.b. gambiense) in 12 selected endemic countries (based on 10 years data) via the application of correspondence analysis. Grouping the countries into three regions affects the model but reveals that the disease is most endemic in Central Africa but least in West Africa. Hence, we therefore recommend that efforts must be intensified by the countries in the Central Africa to reduce the menace of the disease since graphically; there have been reported cases mostly in this region for the past 10 years.

Keywords:

Correspondence analysis , endemic , Human African Trypanosomiasis,


References

  1. Benzecri, J.P., 1992. Correspondence Analysis Handbook. Marcel Decker, New York.
    PMid:1610434    
  2. Brun, R., J. Blum, F. Chappuis and C. Burri, 2010. Human African trypanosomiasis. Lancet, 375(9709): 148-159.
    CrossRef    Direct Link
  3. Cattand, P., 2001. The epidemiology of human African trypanosomiasis: A complex multifactorial history. Med. Trop. (Mars.), 61(4-5): 313-322. (In French).
  4. Clausen, S.E., 1998. Applied Correspondence Analysis: An Introduction. Sage Publications, Thousand Oaks, CA, US.
    CrossRef    Direct Link
  5. Cox, F.E., 2004. History of sleeping sickness (African trypanosomiasis). Infect. Dis. Clin. N. Am., 18(2): 231-245.
  6. Doey, L. and J. Kurta, 2011. Correspondence analysis applied to psychological research. Tutorials Quant. Method. Psychol., 7(1): 5-14.
    CrossRef    Direct Link
  7. Franco, J.R., M. Paone, G. Cecchi, A. Diarra, J.A. Ruiz, R.C. Mattioli, J. Jannin and P.P. Simarro, 2013. The Atlas of human African trypanosomiasis. Progress status and prospects. Proceeding of the 32st ISCTRC Conference. Khartoum, Sep. 8th-12th.
  8. Garson, D., 2008. Correspondence from Statistics. Topics in Multivariate Analysis. Retrieved from: http://faculty.chass.ncsu.Edu/garson/pa765/statnote.htm.
    Direct Link
  9. Hide, G., 1999. History of sleeping sickness in East Africa. Clin. Microbiol. Rev., 12(1): 112-125. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC88909/.
    PMid:9880477 PMCid:PMC88909    Direct Link
  10. Higgs, N.T., 1991. Practical and innovative uses of correspondence analysis. J. Roy. Stat. Soc. D-Sta., 40(2): 183-194.
  11. Hill, M.O., 1974. Correspondence analysis: A neglected multivariate method. J. Roy. Stat. Soc. C-App., 23(3): 340-354.
  12. Kennedy, P.G., 2013. Clinical features, diagnosis, and treatment of human African trypanosomiasis (sleeping sickness). Lancet Neurol., 12(2): 186-194.
    CrossRef    Direct Link
  13. Lundkvist, G.B., K. Kristensson and M. Bentivoglio, 2004. Why trypanosomes cause sleeping sickness. Physiology, 19: 198-206.
    CrossRef    PMid:15304634    Direct Link
  14. Moore, S., S. Shrestha, K.W. Tomlinson and H. Vuong, 2012. Predicting the effect of climate change on African trypanosomiasis: Integrating epidemiology with parasite and vector biology. J. R. Soc. Interface, 9(70): 817-830.
    CrossRef    PMid:22072451 PMCid:PMC3306657    Direct Link
  15. Panagiotakos, D.B. and C. Pitsavos, 2004. Interpretation of epidemiological data using multiple correspondence analysis and log-linear models. J. Data Sci., 2: 75-86.
    Direct Link
  16. Simarro, P.P., G. Cecchi, J.R. Franco, M. Paone, E.M. Fèvre, A. Diarra, J.A.R. Postigo, R.C. Mattioli and J.G. Jannin, 2011. Risk for human African trypanosomiasis, Central Africa, 2000-2009. Emerg. Inf. Dis., 17(12): 2322-2324.
  17. Sourial, N., C. Wolfson, B. Zhu, J. Quail, J. Fletcher, S. Karunananthan, K. Bandeen-Roche, F. Béland and H. Bergman, 2010. Correspondence analysis is a useful tool to uncover the relationships among categorical variables. J. Clin. Epidemiol., 63(6): 638-646.
    CrossRef    PMid:19896800 PMCid:PMC3718710    Direct Link
  18. Tongué, L.K., M.P. M'eyi, R.G. Kamkuimo, D. Kaba, J.F. Louis and R. Mimpfoundi, 2011. Transmission of human African trypanosomiasis in the Komo-Mondah focus, Gabon. Pan Afr. Med. J., 8: 36. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3201599/.
    CrossRef    Direct Link
  19. Uganda, 2008. Sleeping Sickness Reaching Alarming Levels: New Vision.
  20. WHO, 2014. Media Center, Fact Sheet on Trypanosomiasis Human African (Sleeping Sickness). World Health Organization, Washington.
  21. Yelland, P.M., 2010. An introduction to correspondence analysis. Math. J., 12: 1-23.

Competing interests

The authors have no competing interests.

Open Access Policy

This article is 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, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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