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http://bura.brunel.ac.uk/handle/2438/24785
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DC Field | Value | Language |
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dc.contributor.author | Bakalos, N | - |
dc.contributor.author | Kaselimi, M | - |
dc.contributor.author | Doulamis, N | - |
dc.contributor.author | Doulamis, A | - |
dc.contributor.author | Kalogeras, D | - |
dc.contributor.author | Bimpas, M | - |
dc.contributor.author | Davradou, A | - |
dc.contributor.author | Vlachostergiou, A | - |
dc.contributor.author | Fotopoulos, A | - |
dc.contributor.author | Plakia, M | - |
dc.contributor.author | Karalis, A | - |
dc.contributor.author | Tsekeridou, S | - |
dc.contributor.author | Anagnostopoulos, T | - |
dc.contributor.author | Despotopoulou, AM | - |
dc.contributor.author | Bonavita, I | - |
dc.contributor.author | Petersen, K | - |
dc.contributor.author | Pelepes, L | - |
dc.contributor.author | Voumvourakis, L | - |
dc.contributor.author | Anagnostou, A | - |
dc.contributor.author | Groen, D | - |
dc.contributor.author | Mintram, K | - |
dc.contributor.author | Saha, A | - |
dc.contributor.author | Taylor, SJE | - |
dc.contributor.author | Ham, CVD | - |
dc.contributor.author | Kaleta, P | - |
dc.contributor.author | Ignjatović, D | - |
dc.contributor.author | Rossi, L | - |
dc.date.accessioned | 2022-07-04T13:54:18Z | - |
dc.date.available | 2022-07-04T13:54:18Z | - |
dc.date.issued | 2022-05-17 | - |
dc.identifier.citation | Bakalos. 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.uri | https://bura.brunel.ac.uk/handle/2438/24785 | - |
dc.description | Data 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.abstract | Copyright © 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.sponsorship | The paper presented is based on research undertaken as part of the European Commission-funded project STAMINA (Grant Agreement 883441). | en_US |
dc.format.extent | 1 - 18 | - |
dc.format.medium | Electronic | - |
dc.language | English | - |
dc.language.iso | en_US | en_US |
dc.publisher | MDPI AG | en_US |
dc.rights | Copyright © 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.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject | healthcare informatics | en_US |
dc.subject | pandemic outbreak mitigation | en_US |
dc.subject | informatics platform | en_US |
dc.title | STAMINA: Bioinformatics Platform for Monitoring and Mitigating Pandemic Outbreaks | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.3390/technologies10030063 | - |
dc.relation.isPartOf | Technologies | - |
pubs.issue | 3 | - |
pubs.publication-status | Published | - |
pubs.volume | 10 | - |
dc.identifier.eissn | 2227-7080 | - |
dc.rights.holder | The authors | - |
Appears in Collections: | Dept of Computer Science Research Papers |
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