Aprproximation analysis9 of mortality rate of the selected diseases in the philippines from 1965-2009 / by Justine Joy N. Sabanal.
Material type:
TextLanguage: English Publication details: Indang, Cavite : 2014. Cavite State University- Main Campus,Description: xvii, 113 pages : Submitted copy to the University Library. 28 cmContent type: - text
- unmediated
- volume
- 362.28 Sa1 2014
- College of Arts and Science (CAS)
| Item type | Current library | Collection | Call number | Materials specified | URL | Status | Notes | Date due | Barcode |
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Theses / Manuscripts
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Ladislao N. Diwa Memorial Library Theses Section | Non-fiction | 362.28 Sa1 2014 (Browse shelf(Opens below)) | Link to resource | Room use only | T-5411 | 00008786 |
Thesis (BS Applied Mathematics) Cavite State University
Includes bibliographical references.
College of Arts and Science (CAS)
SABANAL, JUSTINE JOY N., Approximation Analysis of the Mortality Rate of the Selected Diseases in the Philippines from 1965- 2009. Undergraduate Thesis. Bachelor of Science in Applied Mathematics. Cavite State University, Indang, Cavite. Adviser: Michael E. Sta. Brigida.
This research study focused on the mortality rate in the Philippines. This study aimed to differentiate the mortality rate for male and female. It also sought to interpolate the missing mortality rate from 1965 to 2009. Also, it aimed to predict the average mortality rate of the selected diseases. Moreover, the study would like to extrapolate the unknown mortality rate for the subsequent years (2010-2016). This research focused only on the three leading causes of mortality in the Philippines, which had the most number of appearances in the past years. The top leading causes of mortality rate in the country were the following: heart disease (including cardiovascular disease), pneumonia and malignant neoplasm. In this study, it was very evident that the trends of mortality rate in the country varied depending on its cause. Thus, it also became apparent that the male and female mortality rate caused by malignant neoplasm has the least coefficient of variation among the selected diseases while pneumonia has the highest value on the other hand. The missing values of the mortality rate of the selected disease from 1965-2009 were generated through the use of the interpolating polynomial. By using the actual data and the generated missing values, the interpolating polynomial functions that define the mortality rate of the selected diseases were determined and used to predict the average mortality rate.
Based from the results, male and female mortality rate caused by malignant neoplasm or cancer had a low coefficient of variation and had an increasing sequence pattern, each unit caused by malignant neoplasm or cancer was not concentrated about their mean. The trend of the mortality rate was not so dispersed. On the other hand, the mortality rate caused by pneumonia has the highest coefficient of variation. It was also the least consistent among the three selected disease. It also implies that each unit was concentrated about their mean compare to the other disease. The trend of the mortality rate of pneumonia has a decreasing pattern and varied a lot. By extrapolating the unknown values of the mortality rate of the selected disease from 2010-2016 it revealed the pattern of the mortality rate depending on its cause. Since it was possible to generate a polynomial that could define the mortality rate for the next 7 years, larger span of years would also expand the interval of the extrapolating polynomial. The mortality rate of male and female caused by heart disease have a decreasing pattern. It only means that by 2010-2016, our government has to made an aggressive effort to prevent these two diseases. On the other hand, the mortality rate of malignant neoplasm or cancer has still a decreasing pattern.
Submitted copy to the University Library. 04/24/2014 T-5411