Comparative Analysis of School Life Expectancy in Two Randomly Selected Basic Schools in Ghana: Using Life Table Functions and Survival Analysis
Bosson-Amedenu Senyefia,
Danku Diaba Kafui,
Opoku Frank
Issue:
Volume 7, Issue 2, April 2019
Pages:
8-14
Received:
26 March 2019
Accepted:
15 May 2019
Published:
4 June 2019
Abstract: This study applies life table functions and survival analysis to determine school life expectancy in Ghanaian private and public Basic Schools from grade 1 to grade 9 (JHS 3). The Kaplan Meier statistics such as Log Rank (Mantel-Cox), Breslow (Generalized Wilcoxon), and Tarone-Ware tests consistently showed a statistically significant difference between the male and female school dropout rate for private school pupils but showed statistically insignificant difference between male and female pupils’ dropout rate in public school pupils. The school life expectancy of grade 1 pupil in private and public schools were respectively found to be approximately 7 years for female and 8years for male; clearly showing that a grade one pupil in a private or public school who is a female has lower school life expectancy than the male counterparts. The survival curves for both private and public school cohorts showed that male pupils generally performed better than female counterparts. The survival curves and life table methods all established that peak dropout among male and female pupils generally occurred between grades 6 and 8 inclusive. It was also evident that average school life expectancy decreases with increasing age (i. e. with increasing grade levels). The study recommended further research to explore the effect of adolescent stage on the girl child education.
Abstract: This study applies life table functions and survival analysis to determine school life expectancy in Ghanaian private and public Basic Schools from grade 1 to grade 9 (JHS 3). The Kaplan Meier statistics such as Log Rank (Mantel-Cox), Breslow (Generalized Wilcoxon), and Tarone-Ware tests consistently showed a statistically significant difference be...
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Mathematical Modeling of Cervical Cancer with HPV Transmission and Vaccination
Issue:
Volume 7, Issue 2, April 2019
Pages:
21-25
Received:
1 March 2019
Accepted:
24 May 2019
Published:
26 June 2019
Abstract: Cervical cancer is the most common cancer which affects women next to breast cancer in the worldwide. Most cervical cancers are related to Human Papillomavirus (HPV) infection. We can prevent about 40% of cancer through Primary prevention and considered as the most cost-effective way of battling cancer. In this paper I have constructed a mathematical model of cervical cancer with Human papilloma virus transmission with and without vaccination. Infection with human papillomavirus (HPV) is the main cause of cervical cancer. To construct the mathematical model I consider the population in four compartment (the number of susceptible women, the number of infected women with HPV. Since HPV infected human may or may not infected by cervical cancer, we have two additional compartments, the number of Infectious HPV women population who are uninfected with cervical cancer and number of Infectious HPV women population who are infected with cervical cancer. Ordinary differential equation is used to construct the model and dimension less model is obtained, then the model validity lucidly verified using simulation study and mathematical analysis tools. These models have generally shown that vaccinating females can be technique to reduce and control cervical cancer. Essential observations are made from the simulation study and physical interpretations are drawn and presented strongly in the paper.
Abstract: Cervical cancer is the most common cancer which affects women next to breast cancer in the worldwide. Most cervical cancers are related to Human Papillomavirus (HPV) infection. We can prevent about 40% of cancer through Primary prevention and considered as the most cost-effective way of battling cancer. In this paper I have constructed a mathematic...
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