TIME SERIES MODEL ON FEMALE BIRTH RECORDS AND THE PROPENSITY OF FEMALE BIRTHS IN ABAK LOCAL GOVERNMENT: A STUDY OF GENERAL HOSPITAL ,UKPOM ABAK

This research study utilizes the Time Series Model analytical approach to investigate and predict the monthly records of female births at the General Hospital in Ukpom Abak, estimating the expected pattern of female births in the Abak Metropolis. Currently, there is a significant neglect of the documentation of female births, leading to a need for more reliable statistics on female births. This lack of data adversely affects the accuracy of predicting the number of daughters born to a female as she progresses through her reproductive age. Furthermore, with rapid population growth, government planners require assistance planning for various aspects such as workforce, education, healthcare facilities, and other essential amenities. Despite the efforts of government agencies such as the Bureau of Statistics to ensure proper birth records, parents have shown reluctance to provide the necessary information. The researcher suggests using time series analysis, which involves collecting well-defined data items obtained through repeated measurements over time, to gain reliable insights into the trends and patterns of female births. The analysis's findings could prove invaluable to governmental planners and other stakeholders managing the population.

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Publication Details

Journal
Afrischolar Discovery
Published
2024-09-12
DOI
https://doi.org/10.60787/apjocasr.vol7no2.28
Primary Topic
Global Maternal and Child Health
Type
article
Field-Weighted Citation Impact
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article

TIME SERIES MODEL ON FEMALE BIRTH RECORDS AND THE PROPENSITY OF FEMALE BIRTHS IN ABAK LOCAL GOVERNMENT: A STUDY OF GENERAL HOSPITAL ,UKPOM ABAK

Afrischolar Discovery
Global Maternal and Child Health
article

TIME SERIES MODEL ON FEMALE BIRTH RECORDS AND THE PROPENSITY OF FEMALE BIRTHS IN ABAK LOCAL GOVERNMENT: A STUDY OF GENERAL HOSPITAL ,UKPOM ABAK

article en

Abstract

This research study utilizes the Time Series Model analytical approach to investigate and predict the monthly records of female births at the General Hospital in Ukpom Abak, estimating the expected pattern of female births in the Abak Metropolis. Currently, there is a significant neglect of the documentation of female births, leading to a need for more reliable statistics on female births. This lack of data adversely affects the accuracy of predicting the number of daughters born to a female as she progresses through her reproductive age. Furthermore, with rapid population growth, government planners require assistance planning for various aspects such as workforce, education, healthcare facilities, and other essential amenities. Despite the efforts of government agencies such as the Bureau of Statistics to ensure proper birth records, parents have shown reluctance to provide the necessary information. The researcher suggests using time series analysis, which involves collecting well-defined data items obtained through repeated measurements over time, to gain reliable insights into the trends and patterns of female births. The analysis's findings could prove invaluable to governmental planners and other stakeholders managing the population.

Afrischolar Discovery
Akwa Ibom State University (NG), Akwa Ibom State Polytechnic
Gender equality
Openalex Percentile: Top 41%
Global Maternal and Child Health
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