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Understanding the Differences in COVID-19 Case Fatality Rates Observed Across Alabama Counties

机译:了解Alabama县观察到Covid-19病例差异的差异

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摘要

To understand county-level variation in case fatality rates of COVID-19, a statewide analysis of COVID-19 incidence and fatality data was performed, using publicly available incidence and case fatality rate data of COVID-19 for all 67 Alabama counties and mapped with health disparities at the county level. A specific adaptation of the Shewhart p-chart, called a funnel chart, was used to compare case fatality rates. Important differences in case fatality rates across the counties did not appear to be reflective of differences in testing or incidence rates. Instead, a higher prevalence of comorbidities and vulnerabilities was observed in high fatality rate counties, while showing no differences in access to acute care. Funnel charts reliably identify counties with unexpected high and low COVID-19 case fatality rates. Social determinants of health are strongly associated with such differences. These data may assist in public health decisions including vaccination strategies, especially in southern states with similar demographics.
机译:2019冠状病毒疾病死亡率2019冠状病毒疾病2019冠状病毒疾病的发病率和病死率资料,采用COVID-19的67个阿拉巴马县的公开可获得的发病率和病死率数据,并在县级与健康差异进行了映射,以了解县级的变化。Shewhart p图的一种特殊适应症,称为漏斗图,用于比较病死率。各县病死率的重要差异似乎并未反映出检测或发病率的差异。相反,在高病死率县观察到了更高的共病和脆弱性患病率,而在获得急性护理方面没有表现出差异。漏斗图2019冠状病毒疾病死亡率高,低,可靠地识别县。健康的社会决定因素与这种差异密切相关。这些数据可能有助于公共卫生决策,包括疫苗接种策略,尤其是在人口结构相似的南部各州。

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