Liu Yuan, Wang Kexin, Yang Lin, He Daihai
Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China.
School of Nursing, Hong Kong Polytechnic University, Hong Kong, China.
Infect Dis Model. 2022 Sep;7(3):364-373. doi: 10.1016/j.idm.2022.06.005. Epub 2022 Jul 3.
The ongoing Coronavirus disease of 2019 (COVID-19) pandemic has hit Brazil hard in period of different dominant variants. Different COIVD-19 variants have swept through the region, resulting that the total number of cases in Brazil is the third highest in the world. This study is aimed at investigating the regional heterogeneity of in-hospital mortality of COVID-19 in Brazil and the effects of vaccination and social inequality.
We fitted a multivariate mixed-effects Cox model to a national database of inpatient data in Brazil who were admitted for COVID-19 from February 27, 2020 to March 15, 2022. The in-hospital mortality risks of vaccinated and unvaccinated patients were compared, with adjustment for age, state, ethnicity, education and comorbidities. And the effects of variables to in-hospital mortality were also compared. Stratified analysis was conducted across different age groups and vaccine types.
By fitting the multivariate mixed-effects Cox model, we concluded that age was the most important risk factor for death. With regards to educational level, illiterate patients (hazard ratio: 1.63, 95% CI: 1.56-1.70) had a higher risk than those with a university or college degree. Some common comorbidities were more dangerous for hospitalized patients, such as liver disease (HR: 1.46, 95% CI: 1.34-1.59) and immunosuppression (HR:1.32, 95% CI: 1.26-1.40). In addition, the states involving Sergipe (HR: 1.75, 95% CI: 1.46-2.11), Roraima (HR: 1.65, 95% CI: 1.43-1.92), Maranhão (HR: 1.57, 95% CI: 1.38-1.79), Acre (HR: 1.44, 95% CI: 1.12-1.86), and Rondônia (HR: 1.26, 95% CI: 1.10-1.44) in the north and the northeast region tended to have higher hazard ratios than other area. In terms of vaccine protection, vaccination did not significantly reduce mortality among hospitalized patients. Sinovac and AstraZeneca offered different protection in different regions, and no vaccine provided high protection in all regions.
The study revealed the regional heterogeneity of in-hospital mortality of Covid-19 in Brazil and the effects of vaccination and social inequality. We found that ethnic concentrations were consistent with higher proportion of death cases relative to population size. White Brazilians had more frequent international travel opportunities. As race revealed the intersection of social connections, we speculated that uneven interactions with residential communities partially contribute to the spread of the epidemic. Additionally, the vaccine showed different protection in different regions. In the northern and northeastern regions, AstraZeneca was much more protective than Sinovac, while Sinovac was more protective for hospitalized patients with varying numbers of comorbidities in the Central-west, Southeast and South regions.
持续的2019冠状病毒病(COVID-19)大流行在不同优势变异株时期给巴西造成了沉重打击。不同的COVID-19变异株席卷该地区,导致巴西的病例总数位居世界第三。本研究旨在调查巴西COVID-19住院死亡率的地区异质性以及疫苗接种和社会不平等的影响。
我们对巴西2020年2月27日至2022年3月15日因COVID-19入院的住院患者全国数据库拟合了多元混合效应Cox模型。比较了接种疫苗和未接种疫苗患者的住院死亡风险,并对年龄、州、种族、教育程度和合并症进行了调整。还比较了各变量对住院死亡率的影响。对不同年龄组和疫苗类型进行了分层分析。
通过拟合多元混合效应Cox模型,我们得出年龄是最重要的死亡风险因素。就教育程度而言,文盲患者(风险比:1.63,95%置信区间:1.56 - 1.70)的风险高于拥有大学学位的患者。一些常见合并症对住院患者更危险,如肝病(风险比:1.46,95%置信区间:1.34 - 1.59)和免疫抑制(风险比:1.32,95%置信区间:1.26 - 1.40)。此外,北部和东北部地区的塞尔希培州(风险比:1.75,95%置信区间:1.46 - 2.11)、罗赖马州(风险比:1.65,95%置信区间:1.43 - 1.92)、马拉尼昂州(风险比:1.57,95%置信区间:1.38 - 1.79)、阿克里州(风险比:1.44,95%置信区间:1.12 - 1.86)和朗多尼亚州(风险比:1.26,95%置信区间:1.10 - 1.44)的风险比往往高于其他地区。在疫苗保护方面,接种疫苗并未显著降低住院患者的死亡率。科兴疫苗和阿斯利康疫苗在不同地区提供了不同的保护,没有一种疫苗在所有地区都提供高度保护。
该研究揭示了巴西COVID-19住院死亡率的地区异质性以及疫苗接种和社会不平等的影响。我们发现种族集中与相对于人口规模更高的死亡病例比例一致。巴西白人有更频繁的国际旅行机会。由于种族揭示了社会联系的交叉点,我们推测与居住社区的不均衡互动部分促成了疫情的传播。此外,疫苗在不同地区显示出不同的保护作用。在北部和东北部地区,阿斯利康疫苗比科兴疫苗的保护作用更强,而在中西部、东南部和南部地区,科兴疫苗对患有不同数量合并症的住院患者的保护作用更强。