학술논문
Prioritizing COVID-19 vaccine allocation in resource poor settings: Towards an Artificial Intelligence-enabled and Geospatial-assisted decision support framework.
Document Type
Article
Author
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
Source
Subject
*COVID-19 vaccines
*RESOURCE allocation
*VACCINATION status
*SCIENTIFIC literature
*GEOSPATIAL data
*GLYCEMIC index
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Language
ISSN
1932-6203
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. [ABSTRACT FROM AUTHOR]