Statistical Analysis on Types of Vesico Vaginal Fistula (vvf) Among Women Attending Gynecologist Clinic in Yusuf Dantsoho Memorial Hospital, Kaduna (from 2013 – 2022)
Student: Divine Davies (Project, 2025)
Department of Mathematics and Statistics
Kaduna Polytechnic, Kaduna
Abstract
This paper title statistical analysis on types vesico vaginal fistula in Yusuf Dansoho Memorial Hospital Tudun wada, kaduna. The aim of this study was to determine the statistical analysis on types vesico vaginal fistula in Yusuf Dansoho Memorial Hospital Tudun wada, kaduna, which can be achieve through the following objective. TSo know if types of vesico vaginal fistula is statistical significance and also to determine the trend analysis of types of vesico vaginal fistula. The statistical tools used were Kruskal Wallis U-test and Time series analysis. The data used in this project was secondary data collected from the medical record office of Yusuf Dantsoho Memorial Hospital Tudun wada, Kaduna. The result obtained from the analysis of the Descriptive statistics table reveals that the average number of reported cases over the period spanning 2013 to 2022 is 12. Additionally, examination of the rank table illustrates the mean rank of each group of VVF diseases, with GURF displaying the highest mean rank of 44 cases and SF exhibiting the lowest mean rank of 13 cases. Furthermore, the Test statistics indicate a p-value of 0.000, which is below the alpha value of 0.05. Consequently, this discrepancy leads to the rejection of the null hypothesis (H0) and the conclusion that a significant difference exists in the number of reported cases of VVF disease from 2013 to 2022. And the trend analysis reveals that trend analysis, a forecast was conducted to predict the potential number of Vesicovaginal Fistula (VVF) cases for the years 2021 and 2022. The resulting regression model was derived as follows: Yt = 66.47 + 1.33×t, where Yt represents the estimated number of cases at time t. Utilizing this model, the projected number of cases for the year 2023 is 81, 2024 is 82 , while for the year 2025, it is anticipated to be 83 Based on the finding above, it was recommended that future cases of VVF should be prevented and controlled through a legislation preventing early marriage.
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- Kebbi State University of Science and Technology, Aliero, Kebbi State 6
- Kenule Benson Saro-Wiwa Polytechnic, Bori, Rivers State 18
- Kogi State Polytechnic, Lokoja, Kogi State 4
- Kogi State University, Anyigba 2
- Kwara State College of Health Technology, offa, Kwara State 9
- Kwara State Polytechnic, Ilorin, Kwara State 20
- Kwara State University, Malete, Ilorin, Kwara State 13
- Ladoke Akintola University of Technology, Ogbomoso, Oyo State 39
- Lagos State Poly, Ikorodu, Lagos State 2
- Lagos State University, Ojo, Lagos State 7