Abstract: This paper focused on the statistical analysis of eight Sexually Transmitted Infections (STIs) reported in the University of Nigeria Teaching Hospital from 2010-2020. A population of 20,704 patients was recorded to have contracted eight (8) selected STIs. Prevalence analysis was computed to determine the most prevalent STI. Two-way CATANOVA cross-classification was computed to ascertain age group and gender that suffer more of each of these infections. Logistic regression model was fitted to predict reproductive status of patients that suffer the most prevalent STI. The prevalence analysis results showed Gonorrhea infection as the most prevalent STI. Two-way CATANOVA results for Gonorrhea and Chlamydia infections showed that there were significant difference in gender, age and interaction effects, significant difference in age and interaction effect for Trichomoniases infection, significant difference in age for Syphilis and HIV infections but no significant difference in gender, age and interaction effects for Human Papillomavirus (HPV), Hepatitis B Virus and Herpes infections. The results showed that the percentage of male that suffers STIs is more than the percentage of female, the percentage of 30-39 years that suffer STIs is more than the percentage of any other age group and the percentage of people without STIs history is more than the percentage of those that have history of them. Logistic regression results on Gonorrhea infection showed that an increase in age, body mass index, blood pressure, blood sugar, bacteria quantity, and Gonorrhea history were associated with an increased likelihood of the Gonorrhea patient being infertile.Abstract: This paper focused on the statistical analysis of eight Sexually Transmitted Infections (STIs) reported in the University of Nigeria Teaching Hospital from 2010-2020. A population of 20,704 patients was recorded to have contracted eight (8) selected STIs. Prevalence analysis was computed to determine the most prevalent STI. Two-way CATANOVA cross-c...Show More
Abstract: This research aimed to determine utilization level and effort level of scad mackerel (Decapterus spp) in the North Bolaangmongondow waters. One of the approach in the management of the fisheries resources is by mathematics modelling. In this research using Surplus Production Model with 5 estimator methods, that are: Schaefer, Fox, Schnute, Walter-Hilborn, and Clarke Yoshimoto Pooley. The analysis was performed aiming to get the best estimated for the surplus production model to determine the maximum sustainable yields (MSY), utilization level, and effort level of scad mackerel. The criteria of the best model (estimator) are: sign suitability of regression equation, values of coefficient determination, validations value (residual), and significance of regression coefficients. From the best model by using the formula can be determined the maximum sustainable yields (MSY), utilization level, and effort level. The data of catch and fishing effort scad mackerel collected from the Marine and Fisheries Service of the North Bolaangmongondow Residence and the North Sulawesi Province from 2009 – 2021. The best Surplus Production Model, which is used to assess the potential of scad mackerel is Fox Model. Optimal effort (EMSY) of 83 trips per year, with catches of optimal CMSY 287.679 kgs per year. The effort level for 2021 is 63.86%, which shows the quite efficient of effort, the utilization level of 95.93%, showing the production nearly optimum.Abstract: This research aimed to determine utilization level and effort level of scad mackerel (Decapterus spp) in the North Bolaangmongondow waters. One of the approach in the management of the fisheries resources is by mathematics modelling. In this research using Surplus Production Model with 5 estimator methods, that are: Schaefer, Fox, Schnute, Walter-H...Show More
