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Utilising urgent computing to tackle the spread of mosquito-borne diseases

Brown, Nick and Rupert, Nash and Poletti, Piero and Guzzeta, Giorgio and Manica, Mattia and Zardini, Agnese and Flatken, Markus and Vidal, Jules and Gueunet, Charles and Belikov, Evgenij and Tierny, Julien and Podobas, Artur and Chen, Wei Der and Markidis, Stefano and Gerndt, Andreas (2021) Utilising urgent computing to tackle the spread of mosquito-borne diseases. In: IEEE/ACM HPC for Urgent Decision Making. HPC for Urgent Decision Making (UrgentHPC), 19. November 2021, St. Louis, US. (In Press)

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Official URL: https://arxiv.org/abs/2111.05654


It is estimated that around 80% of the world's population live in areas susceptible to at-least one major vector borne disease, and approximately 20% of global communicable diseases are spread by mosquitoes. Furthermore, the outbreaks of such diseases are becoming more common and widespread, with much of this driven in recent years by socio-demographic and climatic factors. These trends are causing significant worry to global health organisations, including the CDC and WHO, and-so an important question is the role that technology can play in addressing them. In this work we describe the integration of an epidemiology model, which simulates the spread of mosquito-borne diseases, with the VESTEC urgent computing ecosystem. The intention of this work is to empower human health professionals to exploit this model and more easily explore the progression of mosquito-borne diseases. Traditionally in the domain of the few research scientists, by leveraging state of the art visualisation and analytics techniques, all supported by running the computational workloads on HPC machines in a seamless fashion, we demonstrate the significant advantages that such an integration can provide. Furthermore we demonstrate the benefits of using an ecosystem such as VESTEC, which provides a framework for urgent computing, in supporting the easy adoption of these technologies by the epidemiologists and disaster response professionals more widely.

Item URL in elib:https://elib.dlr.de/146779/
Document Type:Conference or Workshop Item (Speech)
Title:Utilising urgent computing to tackle the spread of mosquito-borne diseases
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Brown, NickEPCC, The University of Edinburgh, Bayes Centre, Edinburgh, UKUNSPECIFIED
Rupert, NashEPCC, The University of Edinburgh, Bayes Centre, Edinburgh, UKUNSPECIFIED
Poletti, PieroDPCS, Fondazione Bruno Kessler, ItalyUNSPECIFIED
Guzzeta, GiorgioDPCS, Fondazione Bruno Kessler, ItalyUNSPECIFIED
Manica, MattiaDPCS, Fondazione Bruno Kessler, ItalyUNSPECIFIED
Zardini, AgneseDPCS, Fondazione Bruno Kessler, ItalyUNSPECIFIED
Flatken, MarkusUNSPECIFIEDhttps://orcid.org/0000-0003-1687-6181
Vidal, JulesSorbonne UniversiteUNSPECIFIED
Gueunet, CharlesKitwareUNSPECIFIED
Belikov, EvgenijEPCC, The University of Edinburgh, Bayes Centre, Edinburgh, UKUNSPECIFIED
Tierny, JulienSorbonne UniversiteUNSPECIFIED
Podobas, ArturKTH Royal Institute of TechnologyUNSPECIFIED
Chen, Wei DerKTH Royal Institute of TechnologyUNSPECIFIED
Markidis, StefanoKTH Royal Institute of TechnologyUNSPECIFIED
Gerndt, AndreasUNSPECIFIEDhttps://orcid.org/0000-0002-0409-8573
Date:10 November 2021
Journal or Publication Title:IEEE/ACM HPC for Urgent Decision Making
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Status:In Press
Keywords:Distributed, Parallel, and Cluster Computing
Event Title:HPC for Urgent Decision Making (UrgentHPC)
Event Location:St. Louis, US
Event Type:Workshop
Event Dates:19. November 2021
Organizer:IEEE TCHPC
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - Tasks SISTEC
Location: Braunschweig
Institutes and Institutions:Institute for Software Technology
Institute for Software Technology > Software for Space Systems and Interactive Visualisation
Deposited By: Flatken, Markus
Deposited On:07 Dec 2021 13:28
Last Modified:16 Dec 2021 08:23

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