COVID-19 in Italy: Dataset of the Italian Civil Protection Department
COVID-19 in Italy: Dataset of the Italian Civil Protection Department
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DOI：
10.1016/j.dib.2020.105526
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发表时间：
2020-06-01
期刊：
影响因子：
1.2
通讯作者：
Burattini, Laura
中科院分区：
文献类型：
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作者：
Morettini, Micaela;Sbrollini, Agnese;Burattini, Laura
本文描述的数据库包含由新型冠状病毒SARS-CoV-2引起的意大利“2019冠状病毒病”（世界卫生组织简称为COVID-19）综合监测数据。该数据库包含在一个名为COVID-19的主文件夹中，由意大利民防部门设计和创建，目前由该部门管理。该数据库由六个文件夹组成，分别为“aree”（包含对遏制措施感兴趣的地理区域图表）、“dati-andamento-nazionale”（包含与SARS-CoV-2传播全国趋势有关的数据）、“dati-json”（包含总结SARS-CoV-2传播全国、省和区域趋势的数据）、“dati-province”（包含与SARS-CoV-2传播省级趋势有关的数据）。‘ data -regioni’（包含与SARS-CoV-2传播的区域趋势有关的数据）和‘ schedule -riepilogative’（包含与SARS-CoV-2传播的省和区域趋势有关的摘要表）。意大利民防部每天收到意大利卫生部提供的数据，对其进行分析并更新数据库。因此，数据库每天都要进行更新和集成。该数据库可以在https://github.com/pcm-dpc/COVID-19上免费访问（CC-BY-4.0许可）。该数据库有助于深入了解SARS-CoV-2的传播机制，支持各组织评估当前防控措施的效率，并支持政府未来的预防决策。(C) 2020作者。Elsevier Inc.出版。
The database here described contains data of integrated surveillance for the "Coronavirus disease 2019"(abbreviated as COVID-19 by the World Health Organization) in Italy, caused by the novel coronavirus SARS-CoV-2. The database, included in a main folder called COVID-19, has been designed and created by the Italian Civil Protection Department, which currently manages it. The database consists of six folders called 'aree' (containing charts of geographical areas interested by containment measures), `dati-andamento-nazionale' (containing data relating to the national trend of SARS-CoV-2 spread), 'dati-json' (containing data that summarize the national, provincial and regional trends of SARS-CoV-2 spread), 'dati-province' (containing data relating to the provincial trend of SARS-CoV-2 spread), 'dati-regioni' (containing data relating to the regional trend of SARS-CoV-2 spread) and 'schede-riepilogative' (containing summary sheets relating to the provincial and regional trends of SARS-CoV-2 spread). The Italian Civil Protection Department daily receives data by the Italian Ministry of Health, analyzes them and updates the database. Thus, the database is subject to daily updates and integrations. The database is freely accessible (CC-BY-4.0 license) at https://github.com/pcm-dpc/COVID-19. This database is useful to provide insight on the spread mechanism of SARS-CoV-2, to support organizations in the evaluation of the efficiency of current prevention and control measures, and to support governments in the future prevention decisions. (C) 2020 The Author(s). Published by Elsevier Inc.