Author: Marianna Milano; Mario Cannataro
Title: Statistical and network-based analysis of Italian COVID-19 data: communities detection and temporal evolution Document date: 2020_4_22
ID: 6n88mcbf_72
Snippet: The copyright holder for this preprint (which was not peer-reviewed) is . https://doi.org/10.1101/2020.04.17.20068916 doi: medRxiv preprint similarity among regions and graph-based visualization with the aim to underline similar diffusion regions. We identified similar Italian region with respect to the available COVID-19 data and we mapped these ones in different networks. Finally, we performed a network-based analysis to discover communities of.....
Document: The copyright holder for this preprint (which was not peer-reviewed) is . https://doi.org/10.1101/2020.04.17.20068916 doi: medRxiv preprint similarity among regions and graph-based visualization with the aim to underline similar diffusion regions. We identified similar Italian region with respect to the available COVID-19 data and we mapped these ones in different networks. Finally, we performed a network-based analysis to discover communities of regions that show similar behaviour. As future work we plan to extend the study by adding other data such as particulate matter (PM10) data available at regional level.
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