Adejumo Adebowale O, Suleiman Esivue A, Okagbue Hilary I, Oguntunde Pelumi E, Odetunmibi Oluwole A
Department of Mathematics, Covenant University, Ota, Nigeria.
Department of Statistics, University of Ilorin, Ilorin, Nigeria.
Data Brief. 2017 Nov 14;16:127-134. doi: 10.1016/j.dib.2017.11.041. eCollection 2018 Feb.
In this data article, monthly records (datasets) of total delivery, normal delivery, delivery through Caesarean section and number of still births from pregnant women in Akure, the capital city of Ondo state Nigeria, for a period of ten years, between January 2007 and December 2016 were considered. Correlational and time series analyses were conducted on the monthly records of total delivery, normal delivery (delivery through woman virginal), delivery through Caesarean section, and number of still births, in order to observe the patterns each of these indicators follows and to recommend appropriate model for forecasting their future values. The data were obtained in raw form from State Specialist Hospital (SSH), Akure, Ondo state, Nigeria. A clear description and variation in each of these indicators (total delivery, normal delivery, caesarean section, and still births) were considered separately using descriptive statistics and box plots. Different models were also proposed for each of these indicators using time series models.
在本数据文章中，我们考虑了2007年1月至2016年12月这十年间，尼日利亚翁多州首府阿库雷市孕妇的总分娩数、顺产数、剖腹产数和死产数的月度记录（数据集）。对总分娩数、顺产（经阴道分娩）数、剖腹产数和死产数的月度记录进行了相关性和时间序列分析，以观察这些指标各自遵循的模式，并推荐预测其未来值的合适模型。数据以原始形式从尼日利亚翁多州阿库雷市的州立专科医院（SSH）获取。使用描述性统计和箱线图分别考虑了这些指标（总分娩数、顺产数、剖腹产数和死产数）中的每一个的清晰描述和变化。还使用时间序列模型为这些指标中的每一个提出了不同的模型。
