Authors :
NKPORDEE, Leki; OGOLO,Ibinabo Magnus
Volume/Issue :
Volume 7 - 2022, Issue 2 - February
Google Scholar :
http://bitly.ws/gu88
Scribd :
https://bit.ly/3JuGHJG
DOI :
https://doi.org/10.5281/zenodo.6374879
Abstract :
The goal of this study was to simulate the
impact of infant mortality and maternal death rates on
the Nigerian population from 1980 to 2021. This study
has five particular objectives that were created and used.
Relevant related literatures were reviewed based on the
factors in the objectives. This study was conducted using
a cross-sectional research design. For this study,
secondary data was taken from yearly records of
Nigerian infant/maternal mortality rates and population
from the World Development Indicators- World Bank
Data – 2019 and World Bank, and the data was analyzed
using a multiple regression model. MINITAB (version
20.0) and Microsoft Excel 2013 were used for all
calculations. The series plot results for the variables that
affected the Nigerian population show a downward trend
across the plot, indicating a linear but negative link
between the mortality variables and the Nigerian
population. To determine the significant parameters, the
Durbin method of estimating a multiple regression
model was used; this found that all of the model's
parameters were significant at 5%, which appears
unbiased. It was discovered that Nigeria's population
will continue to grow over the next six years, despite the
effects of newborn and maternal mortality on the
population. It was suggested that the government and
community leaders use the media to inform, educate, and
sensitize people about baby and maternal health.
Keywords :
Infant Mortality, Maternal Mortality, Population, Modelling, Regression Model.
The goal of this study was to simulate the
impact of infant mortality and maternal death rates on
the Nigerian population from 1980 to 2021. This study
has five particular objectives that were created and used.
Relevant related literatures were reviewed based on the
factors in the objectives. This study was conducted using
a cross-sectional research design. For this study,
secondary data was taken from yearly records of
Nigerian infant/maternal mortality rates and population
from the World Development Indicators- World Bank
Data – 2019 and World Bank, and the data was analyzed
using a multiple regression model. MINITAB (version
20.0) and Microsoft Excel 2013 were used for all
calculations. The series plot results for the variables that
affected the Nigerian population show a downward trend
across the plot, indicating a linear but negative link
between the mortality variables and the Nigerian
population. To determine the significant parameters, the
Durbin method of estimating a multiple regression
model was used; this found that all of the model's
parameters were significant at 5%, which appears
unbiased. It was discovered that Nigeria's population
will continue to grow over the next six years, despite the
effects of newborn and maternal mortality on the
population. It was suggested that the government and
community leaders use the media to inform, educate, and
sensitize people about baby and maternal health.
Keywords :
Infant Mortality, Maternal Mortality, Population, Modelling, Regression Model.
