Bakalos, Nikolaos;
Kaselimi, Maria;
Doulamis, Nikolaos;
Doulamis, Anastasios;
Kalogeras, Dimitrios;
Bimpas, Mathaios;
Davradou, Agapi;
... Rossi, Luca; + view all
(2022)
STAMINA: Bioinformatics Platform for Monitoring and Mitigating Pandemic Outbreaks.
Technologies
, 10
(3)
, Article 63. 10.3390/technologies10030063.
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Abstract
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.
Type: | Article |
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Title: | STAMINA: Bioinformatics Platform for Monitoring and Mitigating Pandemic Outbreaks |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.3390/technologies10030063 |
Publisher version: | https://doi.org/10.3390/technologies10030063 |
Language: | English |
Additional information: | © 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/) |
Keywords: | healthcare informatics; pandemic outbreak mitigation; informatics platform |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10186579 |
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