Epidemiological and clinical characteristics of the COVID-19 epidemic in Brazil
Epidemiological and clinical characteristics of the COVID-19 epidemic in Brazil
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DOI：
10.1038/s41562-020-0928-4
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发表时间：
2020-07-31
影响因子：
29.9
通讯作者：
Faria, Nuno Rodrigues
中科院分区：
文献类型：
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作者：
de Souza, William Marciel;Buss, Lewis Fletcher;Faria, Nuno Rodrigues
巴西是世界上COVID-19疫情增长最快的国家之一。De Souza等人报告了该国疫情前3个月的流行病学、人口统计学和临床结果。巴西于2020年2月25日发现首例COVID-19病例。我们报告了COVID-19疫情前3个月的流行病学、人口统计学和临床发现，并将其与背景联系起来。截至2020年5月31日，巴西所有五个行政区的75. 3%（5，570个城市中的4，196个）城市报告了514，200例COVID-19病例，包括29，314例死亡。巴西的R（0）值估计为3.1（95%贝叶斯可信区间= 2.4-5.5），与其他一些受严重影响的国家相比，中值较高，但可信区间重叠。人均收入增加与COVID-19诊断之间存在正相关。此外，不明原因的严重急性呼吸道感染病例与人均收入较低有关。检测到六种呼吸道病毒的共循环，但水平非常低。这些发现全面描述了巴西正在发生的COVID-19疫情，可能有助于指导后续控制病毒传播的措施。
Brazil has one of the fastest-growing COVID-19 epidemics in the world. De Souza et al. report epidemiological, demographic and clinical findings for COVID-19 cases in the country during the first 3 months of the epidemic.The first case of COVID-19 was detected in Brazil on 25 February 2020. We report and contextualize epidemiological, demographic and clinical findings for COVID-19 cases during the first 3 months of the epidemic. By 31 May 2020, 514,200 COVID-19 cases, including 29,314 deaths, had been reported in 75.3% (4,196 of 5,570) of municipalities across all five administrative regions of Brazil. TheR(0)value for Brazil was estimated at 3.1 (95% Bayesian credible interval = 2.4-5.5), with a higher median but overlapping credible intervals compared with some other seriously affected countries. A positive association between higher per-capita income and COVID-19 diagnosis was identified. Furthermore, the severe acute respiratory infection cases with unknown aetiology were associated with lower per-capita income. Co-circulation of six respiratory viruses was detected but at very low levels. These findings provide a comprehensive description of the ongoing COVID-19 epidemic in Brazil and may help to guide subsequent measures to control virus transmission.