美国 COVID-19 疫苗接种的时空差异

Urban informatics Pub Date : 2022-01-01 Epub Date: 2022-12-19 DOI:10.1007/s44212-022-00019-9
Qian Huang, Susan L Cutter
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引用次数: 0

摘要

尽管 COVID-19 结果的差异已经得到证实,但它们与 COVID-19 疫苗接种率之间并没有明确的联系。本文研究了 2020 年 12 月 24 日至 2021 年 9 月 30 日期间美国县级 COVID-19 病例率、死亡率和全面接种率的时空模式。统计和地理空间分析表明,COVID-19 结果和疫苗接种的进展具有明显的时间和空间模式。在两个时间序列之间的关系中,死亡率序列与病例率序列过去的滞后期呈正相关。同时,病例率系列和死亡率系列与全部接种率系列过去的滞后期呈负相关。城市和农村地区的滞后水平各不相同。部分相关性、普通最小二乘法(OLS)和地理加权回归(GWR)的结果也证实,现有的 COVID-19 感染和不同的社会经济、医疗服务、健康状况和环境特征在时间和空间上与 COVID-19 疫苗接种独立相关。这些结果从经验上确定了 COVID-19 疫苗接种和结果的地域健康差异,为有针对性地采取大流行恢复和公共卫生缓解行动提供了证据基础:在线版本包含补充材料,可查阅 10.1007/s44212-022-00019-9。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Spatial-temporal differences of COVID-19 vaccinations in the U.S.

Spatial-temporal differences of COVID-19 vaccinations in the U.S.

Spatial-temporal differences of COVID-19 vaccinations in the U.S.

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 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.

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