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Computer Simulation of the Impact of Cigarette Smoking On Humans
- Source :
- West African Journal of Industrial and Academic Research; Vol 5, No 1 (2012); 99-113
- Publication Year :
- 2013
- Publisher :
- Olliverson Industrial Publishing House, 2013.
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Abstract
- In this edition, emphasis has been laid on computer simulation of the impact of cigarette smoking on the population between now and the next 50 years, if no government intervention is exercised to control the behaviour of smokers. The statistical indices derived from the previous article (WAJIAR Volume 4) in the series were plugged in as input to the simulation model. The software simulation followed a statistical model. The simulation software was developed using the internationally accepted Software Engineering Methodology – the Structured System Analysis and Design Methodology (SSADM), coding by OOP and packaging by Prototyping methodologies. The simulation is intended to be predictive and to enable policy makers see the impact and dangers of cigarette smoking between now and the next 50 years if current abuse is not controlled, that is, the number of smokers likely to contact liver, brain and related diseases and who are most likely to die from these diseases. The summary of the result shows that in the next fifty years, a total of 2379591 people will likely suffer liver diseases, 2379818 people will likely suffer lung diseases, 2380297 people will likely suffer hepatitis and 2379689 will also likely suffer Brain Damage. Generally, a total of 9519395 people will likely suffer these four diseases caused by cigarette smoking and most importantly, the total number of deaths is expected to be 1903880. This result suggests that the negative impact of cigarette smoking is significant and demands immediate government intervention to avoid further population decimation. Keywords: Simulation, Software, Model, Population, Design.
- Subjects :
- Simulation, Software, Model, Population, Design
Subjects
Details
- Language :
- English
- ISSN :
- 11165405
- Database :
- OpenAIRE
- Journal :
- West African Journal of Industrial and Academic Research
- Accession number :
- edsair.78975075580c..ce2f16e4f38e92d787d7be077f5da643