Equitable Allocation of COVID Vaccines to States in India: An Optimization Approach

Ronak Tiwari () and R. Sridharan ()
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Ronak Tiwari: National Institute of Technology Calicut
R. Sridharan: National Institute of Technology Calicut

Chapter Chapter 30 in Applications of Operational Research in Business and Industries, 2023, pp 465-475 from Springer

Abstract: Abstract This study explores an objective way to equitably allocate COVID-19 vaccines, based on vulnerability of states in India. A unique weighted rank approach is introduced to calculate the vulnerability index for each state. Population-adjusted vulnerability index is finally used to make vaccine allocations to all the states, given a limited supply. The resulting allocations are then compared with the allocations made by the Government of India. A comparison of results shows that the allocations made by the proposed model successfully capture the vulnerability aspect of a state and are closer to the actual allocation figures. Finally, a possible extension of the current approach using a nonlinear programming model, under capacity limitations, is discussed.

Keywords: Vaccine equity; Equitable resource allocation; Vaccine inequity Gini coefficient; Weighted rank vulnerability index; Nonlinear programming; Optimization (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-981-19-8012-1_30

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DOI: 10.1007/978-981-19-8012-1_30

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