Mena Gonzalo, Martinez Pamela P, Mahmud Ayesha S, Marquet Pablo A, Buckee Caroline O, Santillana Mauricio
medRxiv. 2021 Jan 15:2021.01.12.21249682. doi: 10.1101/2021.01.12.21249682.
The current coronavirus disease 2019 (COVID-19) pandemic has impacted dense urban populations particularly hard. Here, we provide an in-depth characterization of disease incidence and mortality patterns, and their dependence on demographic and socioeconomic strata in Santiago, a highly segregated city and the capital of Chile. We find that among all age groups, there is a strong association between socioeconomic status and both mortality -measured either by direct COVID-19 attributed deaths or excess deaths- and public health capacity. Specifically, we show that behavioral factors like human mobility, as well as health system factors such as testing volumes, testing delays, and test positivity rates are associated with disease outcomes. These robust patterns suggest multiple possibly interacting pathways that can explain the observed disease burden and mortality differentials: (i) in lower socioeconomic status municipalities, human mobility was not reduced as much as in more affluent municipalities; (ii) testing volumes in these locations were insufficient early in the pandemic and public health interventions were applied too late to be effective; (iii) test positivity and testing delays were much higher in less affluent municipalities, indicating an impaired capacity of the health-care system to contain the spread of the epidemic; and (iv) infection fatality rates appear much higher in the lower end of the socioeconomic spectrum. Together, these findings highlight the exacerbated consequences of health-care inequalities in a large city of the developing world, and provide practical methodological approaches useful for characterizing COVID-19 burden and mortality in other segregated urban centers.
当前的2019冠状病毒病(COVID-19)大流行对人口密集的城市地区造成了尤为严重的影响。在此,我们深入描述了智利首都圣地亚哥的疾病发病率和死亡率模式,以及它们对人口和社会经济阶层的依赖性。圣地亚哥是一个高度隔离的城市。我们发现,在所有年龄组中,社会经济地位与死亡率(通过直接归因于COVID-19的死亡或超额死亡来衡量)以及公共卫生能力之间存在密切关联。具体而言,我们表明,诸如人员流动等行为因素,以及诸如检测量、检测延迟和检测阳性率等卫生系统因素与疾病结果相关。这些有力的模式表明了多种可能相互作用的途径,这些途径可以解释观察到的疾病负担和死亡率差异:(i)在社会经济地位较低的城市,人员流动没有像在较富裕城市那样大幅减少;(ii)这些地区在疫情早期的检测量不足,公共卫生干预措施实施得太晚,因而无效;(iii)在较不富裕的城市,检测阳性率和检测延迟要高得多,这表明卫生保健系统控制疫情传播的能力受损;(iv)在社会经济谱的低端,感染死亡率似乎要高得多。这些发现共同凸显了发展中世界大城市卫生保健不平等加剧所带来的后果,并提供了有助于描述其他隔离城市中心COVID-19负担和死亡率的实用方法。