Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/24785
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dc.contributor.authorBakalos, N-
dc.contributor.authorKaselimi, M-
dc.contributor.authorDoulamis, N-
dc.contributor.authorDoulamis, A-
dc.contributor.authorKalogeras, D-
dc.contributor.authorBimpas, M-
dc.contributor.authorDavradou, A-
dc.contributor.authorVlachostergiou, A-
dc.contributor.authorFotopoulos, A-
dc.contributor.authorPlakia, M-
dc.contributor.authorKaralis, A-
dc.contributor.authorTsekeridou, S-
dc.contributor.authorAnagnostopoulos, T-
dc.contributor.authorDespotopoulou, AM-
dc.contributor.authorBonavita, I-
dc.contributor.authorPetersen, K-
dc.contributor.authorPelepes, L-
dc.contributor.authorVoumvourakis, L-
dc.contributor.authorAnagnostou, A-
dc.contributor.authorGroen, D-
dc.contributor.authorMintram, K-
dc.contributor.authorSaha, A-
dc.contributor.authorTaylor, SJE-
dc.contributor.authorHam, CVD-
dc.contributor.authorKaleta, P-
dc.contributor.authorIgnjatović, D-
dc.contributor.authorRossi, L-
dc.date.accessioned2022-07-04T13:54:18Z-
dc.date.available2022-07-04T13:54:18Z-
dc.date.issued2022-05-17-
dc.identifier.citationBakalos. N., Kaselimi. M., Doulamis. N., Doulamis. A., Kalogeras. D., Bimpas. M., Davradou. A., Vlachostergiou. A., Fotopoulos. A., Plakia. M., Karalis. A., Tsekeridou. S., Anagnostopoulos. T., Despotopoulou. A.M., Bonavita. I., Petersen. K., Pelepes. L., Voumvourakis. L., Anagnostou. A., Groen. D., Mintram. K., Saha. A., Taylor. S.J.E., Ham. C.v.d., Kaleta. P., Ignjatović. D. and Rossi. L. (2022) 'STAMINA: Bioinformatics Platform for Monitoring and Mitigating Pandemic Outbreaks', Technologies, 10 (3), pp. 1 - 18. doi: 10.3390/technologies10030063.en_US
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/24785-
dc.descriptionData Availability Statement: All data driven applications used the our world in data COVID-19 datasets, complimented by proprietary datasets share by the STAMINA consortium.en_US
dc.description.abstractCopyright © 2022 by the authors. This paper presents the components and integrated outcome of a system that aims to achieve early detection, monitoring and mitigation of pandemic outbreaks. The architecture of the platform aims at providing a number of pandemic-response-related services, on a modular basis, that allows for the easy customization of the platform to address user’s needs per case. This customization is achieved through its ability to deploy only the necessary, loosely coupled services and tools for each case, and by providing a common authentication, data storage and data exchange infrastructure. This way, the platform can provide the necessary services without the burden of additional services that are not of use in the current deployment (e.g., predictive models for pathogens that are not endemic to the deployment area). All the decisions taken for the communication and integration of the tools that compose the platform adhere to this basic principle. The tools presented here as well as their integration is part of the project STAMINA.en_US
dc.description.sponsorshipThe paper presented is based on research undertaken as part of the European Commission-funded project STAMINA (Grant Agreement 883441).en_US
dc.format.extent1 - 18-
dc.format.mediumElectronic-
dc.languageEnglish-
dc.language.isoen_USen_US
dc.publisherMDPI AGen_US
dc.rightsCopyright © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjecthealthcare informaticsen_US
dc.subjectpandemic outbreak mitigationen_US
dc.subjectinformatics platformen_US
dc.titleSTAMINA: Bioinformatics Platform for Monitoring and Mitigating Pandemic Outbreaksen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.3390/technologies10030063-
dc.relation.isPartOfTechnologies-
pubs.issue3-
pubs.publication-statusPublished-
pubs.volume10-
dc.identifier.eissn2227-7080-
dc.rights.holderThe authors-
Appears in Collections:Dept of Computer Science Research Papers

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