Meaningful big data integration for a global COVID-19 strategy

Costa, Joao Pita; Grobelnik, Marko; Fuart, Flavio; Stopar, Luka; Rankin, Debbie; Wallace, Jonathan; Black, Michaela; Bond, Raymond; Mulvenna, Maurice; Nikolic, Gorana; Shi, Xi; De Moor, Bart; Epelde, Gorka; Weston, Dale; Pikkarainen, Minna; Pääkkönen, Jarmo; Fischaber, Scott; Carlin, Paul; Staines, Anthony; Connolly, Regina; Davis, Paul; Poliwoda, Piotr; Bilbao, Roberto (2020-10-15)
 
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https://doi.org/10.1109/MCI.2020.3019898

Costa, Joao Pita
Grobelnik, Marko
Fuart, Flavio
Stopar, Luka
Rankin, Debbie
Wallace, Jonathan
Black, Michaela
Bond, Raymond
Mulvenna, Maurice
Nikolic, Gorana
Shi, Xi
De Moor, Bart
Epelde, Gorka
Weston, Dale
Pikkarainen, Minna
Pääkkönen, Jarmo
Fischaber, Scott
Carlin, Paul
Staines, Anthony
Connolly, Regina
Davis, Paul
Poliwoda, Piotr
Bilbao, Roberto
Institute of Electrical and Electronics Engineers
15.10.2020

J. Pita Costa et al., "Meaningful Big Data Integration for a Global COVID-19 Strategy," in IEEE Computational Intelligence Magazine, vol. 15, no. 4, pp. 51-61, Nov. 2020, doi: 10.1109/MCI.2020.3019898

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doi:https://doi.org/10.1109/MCI.2020.3019898
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https://urn.fi/URN:NBN:fi-fe20201214100629
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Abstract

With the rapid spread of the COVID-19 pandemic, the novel Meaningful Integration of Data Analytics and Services (MIDAS) platform quickly demonstrates its value, relevance and transferability to this new global crisis. The MIDAS platform enables the connection of a large number of isolated heterogeneous data sources, and combines rich datasets including open and social data, ingesting and preparing these for the application of analytics, monitoring and research tools. These platforms will assist public health author ities in: (i) better understanding the disease and its impact; (ii) monitoring the different aspects of the evolution of the pandemic across a diverse range of groups; (iii) contributing to improved resilience against the impacts of this global crisis; and (iv) enhancing preparedness for future public health emergencies. The model of governance and ethical review, incorporated and defined within MIDAS, also addresses the complex privacy and ethical issues that the developing pandemic has highlighted, allowing oversight and scrutiny of more and richer data sources by users of the system.

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