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罗马尼亚布加勒斯特 COVID-19 大流行头 250 天的年龄和性别分类数据。

Disaggregated data on age and sex for the first 250 days of the COVID-19 pandemic in Bucharest, Romania.

机构信息

Department of Sociology, University of Bucharest, Panduri 90-92, Bucharest, 050663, Romania.

Faculty of Natural Sciences and Mathematics, University of Maribor, Koroška cesta 160, 2000, Maribor, Slovenia.

出版信息

Sci Data. 2022 May 31;9(1):253. doi: 10.1038/s41597-022-01374-7.

Abstract

Experts worldwide have constantly been calling for high-quality open-access epidemiological data, given the fast-evolving nature of the COVID-19 pandemic. Disaggregated high-level granularity records are still scant despite being essential to corroborate the effectiveness of virus containment measures and even vaccination strategies. We provide a complete dataset containing disaggregated epidemiological information about all the COVID-19 patients officially reported during the first 250 days of the COVID-19 pandemic in Bucharest (Romania). We give the sex, age, and the COVID-19 infection confirmation date for 46,440 individual cases, between March 7 and November 11, 2020. Additionally, we provide context-wise information such as the stringency levels of the measures taken by the Romanian authorities. We procured the data from the local public health authorities and systemized it to respond to the urgent international need of comparing observational data collected from various populations. Our dataset may help understand COVID-19 transmission in highly dense urban communities, perform virus spreading simulations, ascertain the effects of non-pharmaceutical interventions, and craft better vaccination strategies.

摘要

鉴于 COVID-19 大流行的快速演变性质,世界各地的专家一直在呼吁高质量的开放获取流行病学数据。尽管对于证实病毒遏制措施甚至疫苗接种策略的有效性至关重要,但仍缺乏细分的高水平粒度记录。我们提供了一个完整的数据集,其中包含布加勒斯特(罗马尼亚) COVID-19 大流行的头 250 天期间官方报告的所有 COVID-19 患者的细分流行病学信息。我们为 46440 个个体病例提供了性别、年龄和 COVID-19 感染确认日期,时间范围为 2020 年 3 月 7 日至 11 月 11 日。此外,我们还提供了上下文信息,例如罗马尼亚当局采取的措施的严格程度。我们从当地公共卫生当局获取数据,并对其进行系统整理,以满足比较从各种人群收集的观察数据的紧急国际需求。我们的数据集可能有助于了解高密度城市社区中的 COVID-19 传播,进行病毒传播模拟,确定非药物干预措施的效果,并制定更好的疫苗接种策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b09/9156663/aa3b85fc4bf8/41597_2022_1374_Fig1_HTML.jpg

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