ArticleData in brief2018
Quantitative evaluation of pregnant women delivery status' records in Akure, Nigeria.
Article in Data in brief, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed.
- Predictors of institutional delivery service utilization among women in Northern region of Ghana.PloS one · 2025Article
- Prevalence and determinants of home delivery among reproductive age women, Margibi County, Liberia.BMC pregnancy and childbirth · 2022Article
- Hepatitis E Infection in Nigeria: A Systematic Review.Open access Macedonian journal of medical sciences · 2019Review
- Systematic Review of Prevalence of Antepartum Depression during the Trimesters of Pregnancy.Open access Macedonian journal of medical sciences · 2019Review
- Survival Analysis of Cancer Patients in North Eastern Nigeria from 2004 - 2017 - A Kaplan - Meier Method.Open access Macedonian journal of medical sciences · 2019Article
- On the Epidemiology and Statistical Analysis of HIV/AIDS Patients in the Insurgency Affected States of Nigeria.Open access Macedonian journal of medical sciences · 2018Article
- Data in support of high rate of pregnancy related deaths in Maiduguri, Borno State, Northeast Nigeria.Data in brief · 2018Article
- Statistical data analysis of cancer incidences in insurgency affected states in Nigeria.Data in brief · 2018Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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