WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
Laboratory of Data Discovery for Health Limited, Hong Kong Science Park, New Territories, Hong Kong Special Administrative Region, China.
Clin Infect Dis. 2021 Dec 16;73(12):2298-2305. doi: 10.1093/cid/ciab002.
Disparities were marked in previous pandemics, usually with higher attack rates reported for those in lower socioeconomic positions and for ethnic minorities.
We examined characteristics of laboratory-confirmed coronavirus disease 2019 (COVID-19) cases in Hong Kong, assessed associations between incidence and population-level characteristics at the level of small geographic areas, and evaluated relations between socioeconomics and work-from-home (WFH) arrangements.
The largest source of COVID-19 importations switched from students studying overseas in the second wave to foreign domestic helpers in the third. The local cases were mostly individuals not in formal employment (retirees and homemakers) and production workers who were unable to WFH. For every 10% increase in the proportion of population employed as executives or professionals in a given geographic region, there was an 84% (95% confidence interval [CI], 1-97%) reduction in the incidence of COVID-19 during the third wave. In contrast, in the first 2 waves, the same was associated with 3.69 times (95% CI, 1.02-13.33) higher incidence. Executives and professionals were more likely to implement WFH and experienced frequent changes in WFH practice compared with production workers.
Consistent findings on the reversed socioeconomic patterning of COVID-19 burden between infection waves in Hong Kong in both individual- and population-level analyses indicated that risks of infections may be related to occupations involving high exposure frequency and WFH flexibility. Contextual determinants should be taken into account in policy planning aiming at mitigating such disparities.
在以前的大流行中,差异显著,通常报告较低社会经济地位和少数族裔人群的发病率较高。
我们研究了香港实验室确诊的 2019 冠状病毒病(COVID-19)病例的特征,评估了小地理区域人群水平的发病率与人口特征之间的关系,并评估了社会经济状况与在家工作(WFH)安排之间的关系。
COVID-19 输入的最大来源从第二波在海外学习的学生转变为第三波的菲佣。本地病例主要是没有正式工作的人(退休人员和家庭主妇)和无法在家工作的生产工人。在给定地理区域内,每增加 10%从事行政或专业人员工作的人口比例,第三波 COVID-19 的发病率就会降低 84%(95%置信区间[CI],1-97%)。相比之下,在前两波中,同样的情况与发病率增加 3.69 倍(95%CI,1.02-13.33)相关。与生产工人相比,行政人员和专业人员更有可能实施在家工作,并经常改变在家工作的做法。
在香港个人和人群水平分析中,COVID-19 负担的社会经济模式在感染波之间的一致发现表明,感染风险可能与涉及高暴露频率和 WFH 灵活性的职业有关。在制定旨在减轻这种差异的政策时,应考虑到背景决定因素。