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Spatial-temporal differences of COVID-19 vaccinations in the U.S.
Although the disparities in COVID-19 outcomes have been proved, they have not been explicitly associated with COVID-19 full vaccinations. This paper examines the spatial and temporal patterns of the county-level COVID-19 case rates, fatality rates, and full vaccination rates in the United States fro...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9760536/ https://www.ncbi.nlm.nih.gov/pubmed/36569987 http://dx.doi.org/10.1007/s44212-022-00019-9 |
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author | Huang, Qian Cutter, Susan L. |
author_facet | Huang, Qian Cutter, Susan L. |
author_sort | Huang, Qian |
collection | PubMed |
description | Although the disparities in COVID-19 outcomes have been proved, they have not been explicitly associated with COVID-19 full vaccinations. This paper examines the spatial and temporal patterns of the county-level COVID-19 case rates, fatality rates, and full vaccination rates in the United States from December 24, 2020 through September 30, 2021. Statistical and geospatial analyses show clear temporal and spatial patterns of the progression of COVID-19 outcomes and vaccinations. In the relationship between two time series, the fatality rates series was positively related to past lags of the case rates series. At the same time, case rates series and fatality rates series were negatively related to past lags of the full vaccination rates series. The lag level varies across urban and rural areas. The results of partial correlation, ordinary least squares (OLS) and Geographically Weighted Regression (GWR) also confirmed that the existing COVID-19 infections and different sets of socioeconomic, healthcare access, health conditions, and environmental characteristics were independently associated with COVID-19 vaccinations over time and space. These results empirically identify the geographic health disparities with COVID-19 vaccinations and outcomes and provide the evidentiary basis for targeting pandemic recovery and public health mitigation actions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s44212-022-00019-9. |
format | Online Article Text |
id | pubmed-9760536 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Nature Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-97605362022-12-19 Spatial-temporal differences of COVID-19 vaccinations in the U.S. Huang, Qian Cutter, Susan L. Urban Inform Original Article Although the disparities in COVID-19 outcomes have been proved, they have not been explicitly associated with COVID-19 full vaccinations. This paper examines the spatial and temporal patterns of the county-level COVID-19 case rates, fatality rates, and full vaccination rates in the United States from December 24, 2020 through September 30, 2021. Statistical and geospatial analyses show clear temporal and spatial patterns of the progression of COVID-19 outcomes and vaccinations. In the relationship between two time series, the fatality rates series was positively related to past lags of the case rates series. At the same time, case rates series and fatality rates series were negatively related to past lags of the full vaccination rates series. The lag level varies across urban and rural areas. The results of partial correlation, ordinary least squares (OLS) and Geographically Weighted Regression (GWR) also confirmed that the existing COVID-19 infections and different sets of socioeconomic, healthcare access, health conditions, and environmental characteristics were independently associated with COVID-19 vaccinations over time and space. These results empirically identify the geographic health disparities with COVID-19 vaccinations and outcomes and provide the evidentiary basis for targeting pandemic recovery and public health mitigation actions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s44212-022-00019-9. Springer Nature Singapore 2022-12-19 2022 /pmc/articles/PMC9760536/ /pubmed/36569987 http://dx.doi.org/10.1007/s44212-022-00019-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Huang, Qian Cutter, Susan L. Spatial-temporal differences of COVID-19 vaccinations in the U.S. |
title | Spatial-temporal differences of COVID-19 vaccinations in the U.S. |
title_full | Spatial-temporal differences of COVID-19 vaccinations in the U.S. |
title_fullStr | Spatial-temporal differences of COVID-19 vaccinations in the U.S. |
title_full_unstemmed | Spatial-temporal differences of COVID-19 vaccinations in the U.S. |
title_short | Spatial-temporal differences of COVID-19 vaccinations in the U.S. |
title_sort | spatial-temporal differences of covid-19 vaccinations in the u.s. |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9760536/ https://www.ncbi.nlm.nih.gov/pubmed/36569987 http://dx.doi.org/10.1007/s44212-022-00019-9 |
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