Modeling birth registration in the Savannah Region of Ghana

Authors

  • Fatawu Issah a:1:{s:5:"en_US";s:83:"C. K. Tedam University of Technology and Applied Sciences, Box 24, Navrongo, Ghana.";}
  • Jakperik Dioggban C. K. Tedam University of Technology and Applied Sciences, Box 24, Navrongo, Ghana.

DOI:

https://doi.org/10.22452/josma.vol7no2.5

Keywords:

Negative binomial regression, Occupation, District, Registration of birth, Educational level of parents

Abstract

Accurate birth registration plays a vital role in national development planning and organizational decision-making. The Births and Deaths Registry is a key provider of demographic information, offering insights into the composition, magnitude, growth, and spatial distribution of a country's population across different administrative divisions. Inaccurate birth records can lead to misallocation of resources, such as immunization supplies, educational funding, and child protection initiatives. This research examines the factors influencing birth registration in the Savannah Region of Ghana, based on secondary data obtained from the regional Births and Deaths office for the years 2020 and 2021. The analysis was conducted using a Linear Mixed Effects model. The results indicate that parental education levels, employment status, the identity of the informant, and the location of residence significantly impact birth registration outcomes. The findings highlight an urgent need to improve public awareness, especially within rural areas and communities with low literacy levels, in order to increase birth registration rates.

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Author Biography

Jakperik Dioggban, C. K. Tedam University of Technology and Applied Sciences, Box 24, Navrongo, Ghana.

Dioggban Jakperik is an Associate Professor in the Department of Biometry of the School of Mathematical Sciences, C. K. Tedam University of Technology and Applied Sciences. He is widely researched and have many publications in peer refereed journals.

 

 

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Published

2026-02-06

How to Cite

Issah, F., & Jakperik, D. . (2026). Modeling birth registration in the Savannah Region of Ghana. Journal of Statistical Modeling and Analytics (JOSMA), 7(2). https://doi.org/10.22452/josma.vol7no2.5