A MATHEMATICAL MODEL APPROACH FOR OPTIMAL COST IN COVID-19 VACCINE DISTRIBUTION: Evidence from Lagos State, Nigeria
- Williams H. Tega
- Abiola Bankole
- Peter N. Amah
- ( paper pages. 407 - 423 )
Abstract
Budgeted cost for
COVID-19 vaccine distribution in Nigeria during the COVID-19 period was a
crucial issue. This research analysed the budgeting techniques used by the
Federal Government of Nigeria in budgeting for the distribution of the COVAX 3.94 million doses of the
AstraZeneca/Oxford vaccine across states in Nigeria that resulted in
high budgeted transportation cost. Using data from Lagos State population,
Google map, Uber standard cost per kilometre, quantities of vaccines available,
and employing the game theory and transportation model, this study revealed
that transportation model is the optimal technique to solve transportation cost
problem and to plan budgeted cost for vaccine distribution during a pandemic.
However, population statistics and distance in kilometres were found to have
impacts on transportation modelling for vaccine distribution. The study
recommends that policy makers collaborate with researchers skilled in
optimization to participate in budgeting of the cost for transporting vaccines
during a pandemic.
Citation
Williams H. Tega, Abiola Bankole, Peter N. Amah.
2022.
"A MATHEMATICAL MODEL APPROACH FOR OPTIMAL COST IN COVID-19 VACCINE DISTRIBUTION: Evidence from Lagos State, Nigeria"
The Nigerian Journal of Economic and Social Studies,
64 (3): 407 - 423.
JEL Classification
R4, J1, J2, C6
