Information System for Epidemic Control: a computational solution addressing successful experiences and main challenges

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dc.citation.issueAhead-of-printpt_BR
dc.citation.volumeAhead-of-printpt_BR
dc.contributor.authorRocha, Guilherme Conceição
dc.contributor.authorPaiva, Henrique Mohallem [UNIFESP]
dc.contributor.authorSanches, Davi Gonçalves
dc.contributor.authorFiks, Daniel
dc.contributor.authorCastro, Rafael Martins
dc.contributor.authorSilva, Lucas Fernando Alvarenga
dc.contributor.authorLatteshttp://lattes.cnpq.br/2593731181210696pt_BR
dc.contributor.authorLatteshttp://lattes.cnpq.br/6901974057937430pt_BR
dc.date.accessioned2021-07-29T19:33:37Z
dc.date.available2021-07-29T19:33:37Z
dc.date.issued22-03-21
dc.description.abstractPurpose: The SARS-CoV-2 pandemic has caused a major impact on worldwide public health and economics. The lessons learned from the successful attempts to contain the pandemic escalation revealed that the wise usage of contact tracing and information systems can widely help the containment work of any contagious disease. In this context, this paper investigates other researches on this domain, as well as the main issues related to the practical implementation of such systems, and specifies a technical solution. Methodology: The solution is based on the automatic identification of relevant contacts between infected or suspected cases with susceptible people; inference of contamination risk based on symptoms history, user navigation records, and contact information; real-time georeferenced information of population density of infected or suspect people; and automatic individual social distancing recommendation calculated through the individual contamination risk and the worsening of clinical condition risk. Findings: The solution was specified, prototyped, and evaluated by potential users and health authorities. The proposed solution has the potential of becoming a reference on how to coordinate the efforts of health authorities and the population on epidemic control. Originality: This paper proposed an original information system for epidemic control, which was applied for the SARS-CoV-2 pandemic and could be easily extended to other epidemics.pt_BR
dc.description.provenanceSubmitted by Henrique Paiva (hmpaiva@unifesp.br) on 2021-07-29T18:48:07Z No. of bitstreams: 1 COVID19_App_Preprint.pdf: 918924 bytes, checksum: 9c608ad1821899ce1d13fb2f086d740d (MD5)en
dc.description.provenanceApproved for entry into archive by Edna Lucia Pereira (edna.lucia@unifesp.br) on 2021-07-29T19:33:37Z (GMT) No. of bitstreams: 1 COVID19_App_Preprint.pdf: 918924 bytes, checksum: 9c608ad1821899ce1d13fb2f086d740d (MD5)en
dc.description.provenanceMade available in DSpace on 2021-07-29T19:33:37Z (GMT). No. of bitstreams: 1 COVID19_App_Preprint.pdf: 918924 bytes, checksum: 9c608ad1821899ce1d13fb2f086d740d (MD5) Previous issue date: 22-03-21en
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)pt_BR
dc.description.sponsorshipID2020/14357-1pt_BR
dc.identifierhttps://www.emerald.com/insight/content/doi/10.1108/LHT-11-2020-0276/full/htmlpt_BR
dc.identifier.citationRocha, G.C., Paiva, H.M., Sanches, D.G., Fiks, D., Castro, R.M. and Silva, L.F.A.e. (2021), "Information system for epidemic control: a computational solution addressing successful experiences and main challenges", Library Hi Tech, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/LHT-11-2020-0276pt_BR
dc.identifier.doi10.1108/LHT-11-2020-0276pt_BR
dc.identifier.urihttps://repositorio.unifesp.br/handle/11600/61338
dc.languageengpt_BR
dc.publisherEmerald Publishing Limitedpt_BR
dc.relation.ispartofLibrary Hi Techpt_BR
dc.rightsAcesso abertopt_BR
dc.subjectCOVID-19pt_BR
dc.subjectSARS-CoV-2pt_BR
dc.subjectcontact tracingpt_BR
dc.subjectInformation systemspt_BR
dc.subjectContamination riskpt_BR
dc.subjectSocial distancingpt_BR
dc.titleInformation System for Epidemic Control: a computational solution addressing successful experiences and main challengespt_BR
dc.typeArtigopt_BR
unifesp.assessoresproreitoriasNão se aplicapt_BR
unifesp.campusInstituto de Ciência e Tecnologia (ICT)pt_BR
unifesp.departamentoCiência e Tecnologiapt_BR
unifesp.extensaoNão se aplicapt_BR
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