Statistical Modelling and Forecasting of Reported HIV Cases in Nepal

Authors

  • Brijesh Sathian Assistant Professor Community Medicine Department Pokhara
  • Jayadevan Sreedharan Assistant Director (Research), Gulf Medical University, Ajman
  • Ankush Mittal Associate Professor, Department of Biochemistry, Manipal College of Medical Sciences, Pokhara
  • Suresh N Baboo Professor, Department of Physiology, Manipal College of Medical Sciences, Pokhara
  • Nishida Chandrasekharan Assistant Professor, Department of Orthopaedics, Manipal College of Medical Sciences, Pokhara
  • Suresh Devkota Assistant Professor Community Medicine Department Pokhara
  • E S Abhilash Lecturer, Department of Biological Sciences, Grammar School (UAE).
  • E Rajesh Assistant Professor, School of Health and Behavioural Sciences, Mahatma Gandhi University
  • Shyam Bihari Dixit Professor & Head, Department of Community Medicine, Manipal College of Medical Sciences, Pokhara

DOI:

https://doi.org/10.3126/nje.v1i3.5570

Keywords:

Statistical Modelling, HIV, Nepal

Abstract

Background

The real state about the spread of the HIV epidemic in Nepal is not clear since the details available are on the basis of risk group. The objective of the study is to extract as much as information possible from available data and find out the trends of HIV cases in future.

Material and methods

A retrospective study was carried out on the data collected from the Health ministry records of Nepal, between 1988 and 2004. Descriptive statistics and statistical modelling were used for the analysis and forecasting of data.

Results

Excluding the constant term from the equation, the cubic model was the best fit, for the forecasting of HIV cases(p=0.001). NCASC reported cumulative number of HIV cases up to 2009 differs from our projected cases by 46 (99.99% accuracy in prediction). Using cubic equation, it is estimated that 4773 males, 2163 females and 6936 total reported number of HIV cases will be there in Nepal by the year 2015.

Conclusion

The HIV cases in Nepal are having an increasing trend. Estimates of the total number of prevalent HIV infections attributable to the major routes of infection make an important contribution to public health policy. They can be used for the planning of healthcare services and for contributing to estimates of the future numbers with severe HIV infection used for planning health promotion programmes.

Key words: Statistical Modelling; HIV; Nepal

DOI: http://dx.doi.org/10.3126/nje.v1i3.5570

Nepal Journal of Epidemiology 2011;1(3) 106-110

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How to Cite

Sathian, B., Sreedharan, J., Mittal, A., Baboo, S. N., Chandrasekharan, N., Devkota, S., Abhilash, E. S., Rajesh, E., & Dixit, S. B. (2011). Statistical Modelling and Forecasting of Reported HIV Cases in Nepal. Nepal Journal of Epidemiology, 1(3), 106–110. https://doi.org/10.3126/nje.v1i3.5570

Issue

Vol. 1 No. 3 (2011)

Section

Original Articles

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