摘要翻译：
我们提供了与新冠肺炎疫情传播及其控制研究相关的开放数据资源。我们确定了分析基本方面所需的变量，如季节行为、地区死亡率和政府措施的有效性。开放的数据资源以及数据驱动的方法提供了许多机会来改善不同管理部门对病毒的反应。我们描述了目前在大多数开放数据资源中遇到的局限性和困难。为了方便访问主要的开放数据门户和资源，我们在世界范围内确定最相关的机构，提供新冠肺炎信息和/或辅助变量（人口统计、流动性等）。我们还描述了几个开放资源，用于在全国范围内访问Covid-19数据集（即中国、意大利、西班牙、法国、德国、美国等）。为了促进对新冠肺炎季节行为研究的快速反应，我们列举了天气和气候变量方面的主要开放资源。CONCO-TEAM：本文作者属于CONtrol COvid-19研究组，该研究组由来自西班牙、意大利、法国、德国、英国和阿根廷等国大学的不同研究组成。CONCO-Team的主要目标是开发数据驱动的方法，以更好地理解和控制这种流行病。
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英文标题：
《Open Data Resources for Fighting COVID-19》
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作者：
Teodoro Alamo and Daniel G. Reina and Martina Mammarella and Alberto
  Abella
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最新提交年份：
2020
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分类信息：

一级分类：Quantitative Biology        数量生物学
二级分类：Other Quantitative Biology        其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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一级分类：Statistics        统计学
二级分类：Machine Learning        机器学习
分类描述：Covers machine learning papers (supervised, unsupervised, semi-supervised learning, graphical models, reinforcement learning, bandits, high dimensional inference, etc.) with a statistical or theoretical grounding
覆盖机器学习论文（监督，无监督，半监督学习，图形模型，强化学习，强盗，高维推理等）与统计或理论基础
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英文摘要：
  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.
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PDF链接：
https://arxiv.org/pdf/2004.06111