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Mobile application development for human veterinary resources management in a low density population context: promoting students engagement by working with the community

dc.contributor.authorMatos, Paulo
dc.contributor.authorVelasco, Helena
dc.contributor.authorGonçalves, José
dc.date.accessioned2024-02-20T15:05:17Z
dc.date.available2024-02-20T15:05:17Z
dc.date.issued2023
dc.description.abstractThis paper describes a mobile application, developed in an educational context, by the students of the Degree in Computer Engineering of the Instituto Politécnico de Bragança, allowing them to develop skills, based on real-world community problems solving, promoting by this way its engagement, and, at the same time, provide a solution to an effective need of the local community. The developed application has as goal to support the Human Veterinary Resources Management in a Low Density Population Context.pt_PT
dc.description.sponsorshipThis work has been supported by FCT - Fundação para a Ciência e Tecnologia within the Project Scope: UIDB/05757/2020. Among the many projects, the “Improving the Sustainability of Rural Veterinarians Through Mentoring, Targeted Education, Telemedicine and Monitoring of Disease Syndromes” project [6], funded by the U.S. Department of Agriculture National Institute of Food and Agriculture grant, led by the Texas A & M AgriLife faculty, through which it has developed the Veterinary Syndromic Surveillance System, which provides an app and website to track diseases - that allows veterinarians to check online if what they see in the field is unique to their area or part of a pattern.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMatos, Paulo; Velasco, Helena; Gonçalves, José (2023). Mobile application development for human veterinary resources management in a low density population context: promoting students engagement by working with the community. In 2022 Tenth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM). ISSN 2196-4963. p. 292-303pt_PT
dc.identifier.doi10.1007/978-981-99-0942-1_30pt_PT
dc.identifier.eissn2196-4971
dc.identifier.issn2196-4963
dc.identifier.urihttp://hdl.handle.net/10198/29567
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer Naturept_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectContainerspt_PT
dc.subjectLambdapt_PT
dc.subjectServerless computingpt_PT
dc.titleMobile application development for human veterinary resources management in a low density population context: promoting students engagement by working with the communitypt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.citation.endPage303pt_PT
oaire.citation.startPage292pt_PT
oaire.citation.title2022 Tenth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM)pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameMatos
person.familyNameGonçalves
person.givenNamePaulo
person.givenNameJosé
person.identifierR-002-2BA
person.identifierR-000-7ZW
person.identifier.ciencia-idDD15-B2BC-3908
person.identifier.ciencia-id8112-DCE2-D025
person.identifier.orcid0000-0003-0010-4777
person.identifier.orcid0000-0002-5499-1730
person.identifier.ridI-5726-2018
person.identifier.ridB-8547-2018
person.identifier.scopus-author-id57193342842
person.identifier.scopus-author-id48361230200
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication1cb6522c-6039-44d0-a14e-70f65930ef92
relation.isAuthorOfPublication6a3b0b39-7fe9-4450-94f4-ced3941947da
relation.isAuthorOfPublication.latestForDiscovery1cb6522c-6039-44d0-a14e-70f65930ef92
relation.isProjectOfPublication6e01ddc8-6a82-4131-bca6-84789fa234bd
relation.isProjectOfPublication.latestForDiscovery6e01ddc8-6a82-4131-bca6-84789fa234bd

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