论文标题
打开与Covid-19战斗的数据资源
Open Data Resources for Fighting COVID-19
论文作者
论文摘要
我们提供了有关与研究Covid-19-19大流行及其控制相关的开放数据资源的洞察力。我们确定分析基本方面所需的变量，例如季节性行为，区域死亡率和政府措施的有效性。开放数据资源以及数据驱动的方法论提供了许多机会，以改善不同行政部门对病毒的反应。我们描述了大多数开放数据资源中遇到的当前局限性和困难。为了促进进入主要开放数据门户和资源的访问，我们在世界尺度上确定最相关的机构，提供COVID-19信息和/或辅助变量（人口统计学，移动性等）。我们还描述了几种开放资源，可以在全国范围内（即中国，意大利，西班牙，法国，德国，美国等）访问Covid-19-19的数据集。为了促进对Covid-19的季节性行为的快速反应，我们列举了天气和气候变量的主要开放资源。 CONCO-TEAM：本文的作者属于Control Covid-19团队，该团队由西班牙，意大利，法国，德国，英国和阿根廷大学的不同研究组成。 CONCO团队的主要目标是开发数据驱动的方法，以更好地理解和控制大流行。
We provide an insight into the open data resources pertinent to the study of the spread of Covid-19 pandemic and its control. We identify the variables required to analyze fundamental aspects like seasonal behaviour, regional mortality rates, and effectiveness of government measures. Open data resources, along with data-driven methodologies, provide many opportunities to improve the response of the different administrations to the virus. We describe the present limitations and difficulties encountered in most of the open-data resources. To facilitate the access to the main open-data portals and resources, we identify the most relevant institutions, at a world scale, providing Covid-19 information and/or auxiliary variables (demographics, mobility, etc.). We also describe several open resources to access Covid-19 data-sets at a country-wide level (i.e. China, Italy, Spain, France, Germany, U.S., etc.). In an attempt to facilitate the rapid response to the study of the seasonal behaviour of Covid-19, we enumerate the main open resources in terms of weather and climate variables. CONCO-Team: The authors of this paper belong to the CONtrol COvid-19 Team, which is composed of different researches from universities of Spain, Italy, France, Germany, United Kingdom and Argentina. The main goal of CONCO-Team is to develop data-driven methods for the better understanding and control of the pandemic.
