Work

Mathematical modeling of Taraba State population growth using exponential and logistic models

Year: 2023

Type: article

Abstract: The study models and simulates the future population growth of Taraba State using two models: exponential and logistic. Population data from 1991 to 2019 was obtained from the National Population Commission, and the models’ parameters were estimated and implemented using Python. The results showed that the exponential model performed better than the logistic model, with a higher R-squared value. Both models predict a growing population for Taraba State, reaching 9.8 million people by 2055, emphasizing the need for proper planning and policies to accommodate this growth. The study recommends that the state and federal governments use these findings to develop comprehensive plans for managing the increasing population.

Source: Results in Control and Optimization

DOI: 10.1016/j.rico.2023.100265

Authors: Samson Linus Manu, Samuel Shikaa

Institution: Taraba State University

Language: English

Topic: Insurance, Mortality, Demography, Risk Management

Subfield: Demography

Field: Social Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $1,000

OpenAlex ID: W4384831358

FWCI: 4.292

Cites: 4

Cited by: 13

Related to: 10