A Data Driven Approach for Prioritizing COVID-19 Vaccinations in the Midwestern United States.

Autor:	Arling G; Purdue University, School of Nursing, College of Health and Human Sciences., Blaser M; United States Environmental Protection Agency, Research Associate under an inter-agency agreement with Oak Ridge Institute for Science and Education., Cailas MD; Environmental and Occupational Health Sciences, School of Public Health, University of Illinois Chicago., Canar JR; United States Environmental Protection Agency Region V; and Health Policy and Administration, School of Public Health, University of Illinois Chicago., Cooper B; United States Environmental Protection Agency Region V; and Health Policy and Administration, School of Public Health, University of Illinois Chicago., Flax-Hatch J; Environmental and Occupational Health Sciences, School of Public Health, University of Illinois Chicago., Geraci PJ; Health Policy and Administration, School of Public Health, University of Illinois Chicago., Osiecki KM; University of Minnesota, Rochester, Center for Learning Innovation., Sambanis A; Health Policy and Administration, School of Public Health, University of Illinois Chicago.
Jazyk:	angličtina
Zdroj:	Online journal of public health informatics [Online J Public Health Inform] 2021 Mar 12; Vol. 13 (1), pp. e5. Date of Electronic Publication: 2021 Mar 12 (Print Publication: 2021).
DOI:	10.5210/ojphi.v13i1.11621
Abstrakt:	Considering the potential for widespread adoption of social vulnerability indices (SVI) to prioritize COVID-19 vaccinations, there is a need to carefully assess them, particularly for correspondence with outcomes (such as loss of life) in the context of the COVID-19 pandemic. The University of Illinois at Chicago School of Public Health Public Health GIS team developed a methodology for assessing and deriving vulnerability indices based on the premise that these indices are, in the final analysis, classifiers. Application of this methodology to several Midwestern states with a commonly used SVI indicates that by using only the SVI rankings there is a risk of assigning a high priority to locations with the lowest mortality rates and low priority to locations with the highest mortality rates. Based on the findings, we propose using a two-dimensional approach to rationalize the distribution of vaccinations. This approach has the potential to account for areas with high vulnerability characteristics as well as to incorporate the areas that were hard hit by the pandemic. (This is an Open Access article. Authors own copyright of their articles appearing in the Journal of Public Health Informatics. Readers may copy articles without permission of the copyright owner(s), as long as the author and OJPHI are acknowledged in the copy and the copy is used for educational, not-for-profit purposes.)
Databáze:	MEDLINE
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