United States County-level COVID-19 Death Rates and Case Fatality Rates Vary by Region and Urban Status.
United States County-level COVID-19 Death Rates and Case Fatality Rates Vary by Region and Urban Status.
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DOI：
10.3390/healthcare8030330
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发表时间：
2020-09-09
期刊：
影响因子：
--
通讯作者：
Ashraf N
中科院分区：
文献类型：
--
作者：
Ahmed R;Williamson M;Hamid MA;Ashraf N
COVID-19 是一种死亡率不确定的全球流行病。我们按美国地区和城乡分类检查了县级人口道德率（每 10 万人）和病死率，同时控制了人口、社会经济和医院变量。我们发现，人口死亡率和病死率在不同地区、城乡分类及其相互作用之间存在显着差异。所有显着比较的 p < 0.001。东北县的人口死亡率最高（27.4），但与其他地区相似（5.9%），但东南部县的病死率明显较低（4.1%）。城市县的人口死亡率最高，但相反，农村县的病死率最高。东北部的死亡率是由城市地区（例如东海岸小州）驱动的，而所有地区的大多数农村县的病死率往往最高，尤其是西南部。然而，进一步检查发现，西南部以及美国各县的高病死率是由低病例数造成的。这使得很难区分真正较高的死亡率还是小样本的人为因素。总之，美国各地的冠状病毒死亡人数并不相同，而是因地区和人口而异，这凸显了精细分析的重要性。
COVID-19 is a global pandemic with uncertain death rates. We examined county-level population morality rates (per 100,000) and case fatality rates by US region and rural-urban classification, while controlling for demographic, socioeconomic, and hospital variables. We found that population mortality rates and case fatality rates were significantly different across region, rural-urban classification, and their interaction. All significant comparisons had p < 0.001. Northeast counties had the highest population mortality rates (27.4) but had similar case fatality rates (5.9%) compared to other regions except the Southeast, which had significantly lower rates (4.1%). Population mortality rates were highest in urban counties but conversely, case fatality rates were highest in rural counties. Death rates in the Northeast were driven by urban areas (e.g., small, East Coast states), while case fatality rates tended to be highest in the most rural counties for all regions, especially the Southwest. However, on further inspection, high case fatality rate percentages in the Southwest, as well as in overall US counties, were driven by a low case number. This makes it hard to distinguish genuinely higher mortality or an artifact of a small sample size. In summary, coronavirus deaths are not homogenous across the United States but instead vary by region and population and highlight the importance of fine-scale analysis.
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影响因子：
3.7
作者：
Mathews JD;McBryde ES;McVernon J;Pallaghy PK;McCaw JM
通讯作者：
McCaw JM
影响因子：
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作者：
Raisi-Estabragh, Zahra;McCracken, Celeste;Petersen, Steffen E.
通讯作者：
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影响因子：
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作者：
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通讯作者：
Luo, Bin
DOI：
10.1016/s1473-3099(20)30243-7
发表时间：
2020-06-01
期刊：
The Lancet. Infectious diseases
影响因子：
--
作者：
Verity, Robert;Okell, Lucy C;Ferguson, Neil M
通讯作者：
Ferguson, Neil M
DOI：
10.2307/3314912
发表时间：
1987-09-01
影响因子：
0.6
作者：
LAWLESS, JF
通讯作者：
LAWLESS, JF