了解COVID-19对南非住院患者的不同影响,以促进公平应对。

IF 1.2
N Phaswana-Mafuya, O Shisana, W Jassat, S D Baral, Keletso Makofane, E Phalane, Khangelani Zuma, N Zungu, Martha Chadyiwa
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引用次数: 6

摘要

背景:对COVID-19不同影响的深入分析有限,特别是在南非等资源有限的国家。目的:探讨特定背景下的社会人口异质性,以了解COVID-19的不同影响。方法:描述性流行病学COVID-19住院和死亡率数据来自每日医院监测数据、国家传染病研究所(NICD)更新报告(2020年3月6日至2021年1月24日)和东开普省每日流行病学报告(截至2021年3月24日)。我们使用绝对数字、比例和比率按社会人口统计学(年龄使用10岁年龄组、性别和种族)检查住院率和死亡率。这些数据是用从国家传染病研究所收到的表格提出的,并制作了图表来显示趋势和模式。死亡率(每10万人)是用人口估计值作为标准化的分母来计算的。通过相对危险度(RRs)、95%置信区间(CIs)和p值(lt;0.001)确定相关性。结果:非洲黑人女性的住院率(8.7% (95% CI 8.5 - 8.9))明显高于有色人种、印第安人和白人(分别为6.7% (95% CI 6.0 - 7.4)、6.3% (95% CI 5.5 - 7.2)和4% (95% CI 3.5 - 4.5)。同样,与其他种族群体相比,非洲黑人女性在30 - 39岁年龄组的住院率最高(16.1%)。白人住院的年龄比其他种族要大,平均年龄为63岁。非洲黑人住院的年龄比其他种族群体要小,平均年龄为52岁。与非洲黑人相比,白人在老年死亡的可能性明显更高(RR 1.07;95% CI 1.06 - 1.08)或有色人种(RR 1.44;95% ci 1.33 - 1.54);在印度人和白人之间也发现了类似的模式(RR 1.59;95% ci 1.47 - 1.73)。女性的死亡年龄比男性大,尽管她们入院的年龄更小。在非洲黑人和有色人种中,女性的COVID-19死亡率(分别为50.9 / 10万和37 / 10万)高于男性(分别为41.2 / 10万和41.5 / 10万)。然而,在印第安人和白人中,男性的死亡率高于女性。按种族和性别分列的死亡率与住院率随着年龄的增长而增加。在每个年龄组中,这一比例在非洲黑人中最高,在白人中最低。结论:该研究揭示了COVID-19对SA影响的异质性。现有的社会经济不平等似乎影响着COVID-19的影响,对非洲黑人以及边缘化和低社会经济群体的影响尤为严重。这些不同的影响要求认真注意减轻非洲黑人之间的健康差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding the differential impacts of COVID-19 among hospitalised patients in South Africa for equitable response.

Background: There are limited in-depth analyses of COVID-19 differential impacts, especially in resource-limited settings such as South Africa (SA).

Objectives: To explore context-specific sociodemographic heterogeneities in order to understand the differential impacts of COVID-19.

Methods: Descriptive epidemiological COVID-19 hospitalisation and mortality data were drawn from daily hospital surveillance data, National Institute for Communicable Diseases (NICD) update reports (6 March 2020 - 24 January 2021) and the Eastern Cape Daily Epidemiological Report (as of 24 March 2021). We examined hospitalisations and mortality by sociodemographics (age using 10-year age bands, sex and race) using absolute numbers, proportions and ratios. The data are presented using tables received from the NICD, and charts were created to show trends and patterns. Mortality rates (per 100 000 population) were calculated using population estimates as a denominator for standardisation. Associations were determined through relative risks (RRs), 95% confidence intervals (CIs) and p-values <0.001.

Results: Black African females had a significantly higher rate of hospitalisation (8.7% (95% CI 8.5 - 8.9)) compared with coloureds, Indians and whites (6.7% (95% CI 6.0 - 7.4), 6.3% (95% CI 5.5 - 7.2) and 4% (95% CI 3.5 - 4.5), respectively). Similarly, black African females had the highest hospitalisation rates at a younger age category of 30 - 39 years (16.1%) compared with other race groups. Whites were hospitalised at older ages than other races, with a median age of 63 years. Black Africans were hospitalised at younger ages than other race groups, with a median age of 52 years. Whites were significantly more likely to die at older ages compared with black Africans (RR 1.07; 95% CI 1.06 - 1.08) or coloureds (RR 1.44; 95% CI 1.33 - 1.54); a similar pattern was found between Indians and whites (RR 1.59; 95% CI 1.47 - 1.73). Women died at older ages than men, although they were admitted to hospital at younger ages. Among black Africans and coloureds, females (50.9 deaths per 100 000 and 37 per 100 000, respectively) had a higher COVID-19 death rate than males (41.2 per 100 000 and 41.5 per 100 000, respectively). However, among Indians and whites, males had higher rates of deaths than females. The ratio of deaths to hospitalisations by race and gender increased with increasing age. In each age group, this ratio was highest among black Africans and lowest among whites.

Conclusions: The study revealed the heterogeneous nature of COVID-19 impacts in SA. Existing socioeconomic inequalities appear to shape COVID-19 impacts, with a disproportionate effect on black Africans and marginalised and low socioeconomic groups. These differential impacts call for considered attention to mitigating the health disparities among black Africans.

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