Analysis of COVID-19 Data

A lot of research has been done during the first months of 2020 regarding the Covid-19 Researchers of different fields worked and cooperated to understand the virus better, in order to manage the pandemic and to model its spread A series of tools have been developed in this sense, but there is a lack of work with regards to what has been developed from the scientific community We would like to, at least partially, summarise the results obtained so far by analysing some of the published papers on the matter To achieve such a result, we are going to use different python libraries that allow analysing texts The entire work has been done with python on the Google Colaboratory platform © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

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[2]  Flora Amato,et al.  ABC: A knowledge Based Collaborative framework for e-health , 2015, 2015 IEEE 1st International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI).

[3]  Vincenzo Moscato,et al.  Big Data Analytics for Traceability in Food Supply Chain , 2019, AINA Workshops.

[4]  Vincenzo Moscato,et al.  Analysis of Community In Social Networks Based on Game Theory , 2019, 2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech).

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[6]  Flora Amato,et al.  Intelligent medical record management: a diagnosis support system , 2018, Int. J. High Perform. Comput. Netw..

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