Prioritizing COVID-19 vaccine allocation in resource poor settings: Towards an Artificial Intelligence-enabled and Geospatial-assisted decision support framework

Shayegh, Soheil, Andreu-Perez, Javier, Akoth, Caroline, Bosch-Capblanch, Xavier, Dasgupta, Shouro, Falchetta, Giacomo, Gregson, Simon, Hammad, Ahmed T., Herringer, Mark, Kapkea, Festus, Labella, Alvaro, Lisciotto, Luca, Martínez, Luis, Macharia, Peter M., Morales-Ruiz, Paulina, Murage, Njeri, Offeddu, Vittoria, South, Andy, Torbica, Aleksandra, Trentini, Filippo and Melegaro, Alessia (2023) 'Prioritizing COVID-19 vaccine allocation in resource poor settings: Towards an Artificial Intelligence-enabled and Geospatial-assisted decision support framework'. PLoS ONE, Vol 18, Issue 8, e0275037.

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Abstract

Objectives:
To propose a novel framework for COVID-19 vaccine allocation based on three components of Vulnerability, Vaccination, and Values (3Vs).

Methods:
A combination of geospatial data analysis and artificial intelligence methods for evaluating vulnerability factors at the local level and allocate vaccines according to a dynamic mechanism for updating vulnerability and vaccine uptake.

Results:
A novel approach is introduced including (I) Vulnerability data collection (including country-specific data on demographic, socioeconomic, epidemiological, healthcare, and environmental factors), (II) Vaccination prioritization through estimation of a unique Vulnerability Index composed of a range of factors selected and weighed through an Artificial Intelligence (AI-enabled) expert elicitation survey and scientific literature screening, and (III) Values consideration by identification of the most effective GIS-assisted allocation of vaccines at the local level, considering context-specific constraints and objectives.

Conclusions:
We showcase the performance of the 3Vs strategy by comparing it to the actual vaccination rollout in Kenya. We show that under the current strategy, socially vulnerable individuals comprise only 45% of all vaccinated people in Kenya while if the 3Vs strategy was implemented, this group would be the first to receive vaccines.

Item Type:	Article
Subjects:	QW Microbiology and Immunology > Immunotherapy and Hypersensitivity > QW 806 Vaccination WC Communicable Diseases > Virus Diseases > Viral Respiratory Tract Infections. Respirovirus Infections > WC 506 COVID-19
Faculty: Department:	Biological Sciences > Vector Biology Department
Digital Object Identifer (DOI):	https://doi.org/10.1371/journal.pone.0275037
SWORD Depositor:	JISC Pubrouter
Depositing User:	JISC Pubrouter
Date Deposited:	11 Aug 2023 10:11
Last Modified:	14 Sep 2023 11:55
URI:	https://archive.lstmed.ac.uk/id/eprint/22936

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