COVID-WAREHOUSE: A Data Warehouse of Italian COVID-19, Pollution, and Climate Data

doi:10.3390/ijerph17155596

	COVID-WAREHOUSE: A Data Warehouse of Italian COVID-19, Pollution, and Climate Data
	Agapito, Giuseppe; Cannataro, Mario; Zucco, Chiara
	2020-08
发表期刊	INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
EISSN	1660-4601
摘要	The management of the COVID-19 pandemic presents several unprecedented challenges in different fields, from medicine to biology, from public health to social science, that may benefit from computing methods able to integrate the increasing available COVID-19 and related data (e.g., pollution, demographics, climate, etc.). With the aim to face the COVID-19 data collection, harmonization and integration problems, we present the design and development of COVID-WAREHOUSE, a data warehouse that models, integrates and stores the COVID-19 data made available daily by the Italian Protezione Civile Department and several pollution and climate data made available by the Italian Regions. After an automatic ETL (Extraction, Transformation and Loading) step, COVID-19 cases, pollution measures and climate data, are integrated and organized using the Dimensional Fact Model, using two main dimensions: time and geographical location. COVID-WAREHOUSE supports OLAP (On-Line Analytical Processing) analysis, provides a heatmap visualizer, and allows easy extraction of selected data for further analysis. The proposed tool can be used in the context of Public Health to underline how the pandemic is spreading, with respect to time and geographical location, and to correlate the pandemic to pollution and climate data in a specific region. Moreover, public decision-makers could use the tool to discover combinations of pollution and climate conditions correlated to an increase of the pandemic, and thus, they could act in a consequent manner. Case studies based on data cubes built on data from Lombardia and Puglia regions are discussed. Our preliminary findings indicate that COVID-19 pandemic is significantly spread in regions characterized by high concentration of particulate in the air and the absence of rain and wind, as even stated in other works available in literature.
关键词	Italian COVID-19 data data analysis data warehouse data integration pollution data climate data
DOI	10.3390/ijerph17155596
WOS研究方向	Environmental Sciences & Ecology ; Public, Environmental & Occupational Health
WOS类目	Environmental Sciences ; Public, Environmental & Occupational Health
出版者	MDPI
引用统计
文献类型	期刊论文
专题	新冠肺炎循证社会科学证据集成
作者单位	Magna Graecia Univ Catanzaro
推荐引用方式 GB/T 7714	Agapito, Giuseppe,Cannataro, Mario,Zucco, Chiara. COVID-WAREHOUSE: A Data Warehouse of Italian COVID-19, Pollution, and Climate Data[J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,2020.
APA	Agapito, Giuseppe,Cannataro, Mario,&Zucco, Chiara.(2020).COVID-WAREHOUSE: A Data Warehouse of Italian COVID-19, Pollution, and Climate Data.INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH.
MLA	Agapito, Giuseppe,et al."COVID-WAREHOUSE: A Data Warehouse of Italian COVID-19, Pollution, and Climate Data".INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2020).

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