We provide an insight into the open-data resources pertinent to the study of the spread of the Covid-19 pandemic and its control. We identify the variables required to analyze fundamental aspects like seasonal behavior, 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, on a global scale, providing Covid-19 information and/or auxiliary variables (demographics, mobility, etc.). We also describe several open resources to access Covid-19 datasets at a country-wide level (i.e., China, Italy, Spain, France, Germany, US, etc.). To facilitate the rapid response to the study of the seasonal behavior of Covid-19, we enumerate the main open resources in terms of weather and climate variables. We also assess the reusability of some representative open-data sources.
COVID-19: Open-data resources for monitoring, modeling, and forecasting the epidemic / Alamo, T.; Reina, D. G.; Mammarella, M.; Abella, A.. - In: ELECTRONICS. - ISSN 2079-9292. - ELETTRONICO. - 9:5(2020), p. 827.
|Titolo:||COVID-19: Open-data resources for monitoring, modeling, and forecasting the epidemic|
|Data di pubblicazione:||2020|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.3390/electronics9050827|
|Appare nelle tipologie:||1.1 Articolo in rivista|
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