Predicting population using the logistic growth model with slowly
varying coefficients: A Multi-scale study in Bangladesh
Abstract
Bangladesh is one of the most overcrowded and densely populated
countries in the world, where population growth is said to be worried.
For the development and progression of the country, it would be
essential to perceive and estimate the knowledge of the structure of the
population. This article mainly focuses on the analysis and forecast of
the approaching population growth of the country by considering several
mathematical methods. Available census data (1981-2011) of Bangladesh
applied in the well-known non-autonomous logistic population growth
model where the growth rate and carrying capacity both slowly fluctuate
with the time which provides several advantages to assess an approximate
closed-form of the solutions. Although, most of the previous studies
conducted with the population models of single species employed constant
growth rate and carrying capacity. The findings of this article
illuminate that the prediction and estimation of population data fairly
compare with the census data of the population of Bangladesh.