Information System for Epidemic Control: a computational solution addressing successful experiences and main challenges
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNIFESP |
Texto Completo: | https://www.emerald.com/insight/content/doi/10.1108/LHT-11-2020-0276/full/html https://repositorio.unifesp.br/handle/11600/61338 |
Resumo: | Purpose: 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. |
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Repositório Institucional da UNIFESP |
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Rocha, Guilherme ConceiçãoPaiva, Henrique Mohallem [UNIFESP]Sanches, Davi GonçalvesFiks, DanielCastro, Rafael MartinsSilva, Lucas Fernando Alvarengahttp://lattes.cnpq.br/2593731181210696http://lattes.cnpq.br/69019740579374302021-07-29T19:33:37Z2021-07-29T19:33:37Z22-03-21https://www.emerald.com/insight/content/doi/10.1108/LHT-11-2020-0276/full/htmlRocha, 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-11-2020-0276https://repositorio.unifesp.br/handle/11600/6133810.1108/LHT-11-2020-0276Purpose: 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.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)2020/14357-1engEmerald Publishing LimitedLibrary Hi TechCOVID-19SARS-CoV-2contact tracingInformation systemsContamination riskSocial distancingInformation System for Epidemic Control: a computational solution addressing successful experiences and main challengesinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleAhead-of-printAhead-of-printinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UNIFESPinstname:Universidade Federal de São Paulo (UNIFESP)instacron:UNIFESPInstituto de Ciência e Tecnologia (ICT)Ciência e TecnologiaNão se aplicaNão se 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Repositório InstitucionalPUBhttp://www.repositorio.unifesp.br/oai/requestopendoar:34652023-06-05T22:07:05Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP)false |
dc.title.pt_BR.fl_str_mv |
Information System for Epidemic Control: a computational solution addressing successful experiences and main challenges |
title |
Information System for Epidemic Control: a computational solution addressing successful experiences and main challenges |
spellingShingle |
Information System for Epidemic Control: a computational solution addressing successful experiences and main challenges Rocha, Guilherme Conceição COVID-19 SARS-CoV-2 contact tracing Information systems Contamination risk Social distancing |
title_short |
Information System for Epidemic Control: a computational solution addressing successful experiences and main challenges |
title_full |
Information System for Epidemic Control: a computational solution addressing successful experiences and main challenges |
title_fullStr |
Information System for Epidemic Control: a computational solution addressing successful experiences and main challenges |
title_full_unstemmed |
Information System for Epidemic Control: a computational solution addressing successful experiences and main challenges |
title_sort |
Information System for Epidemic Control: a computational solution addressing successful experiences and main challenges |
author |
Rocha, Guilherme Conceição |
author_facet |
Rocha, Guilherme Conceição Paiva, Henrique Mohallem [UNIFESP] Sanches, Davi Gonçalves Fiks, Daniel Castro, Rafael Martins Silva, Lucas Fernando Alvarenga |
author_role |
author |
author2 |
Paiva, Henrique Mohallem [UNIFESP] Sanches, Davi Gonçalves Fiks, Daniel Castro, Rafael Martins Silva, Lucas Fernando Alvarenga |
author2_role |
author author author author author |
dc.contributor.authorLattes.pt_BR.fl_str_mv |
http://lattes.cnpq.br/2593731181210696 http://lattes.cnpq.br/6901974057937430 |
dc.contributor.author.fl_str_mv |
Rocha, Guilherme Conceição Paiva, Henrique Mohallem [UNIFESP] Sanches, Davi Gonçalves Fiks, Daniel Castro, Rafael Martins Silva, Lucas Fernando Alvarenga |
dc.subject.por.fl_str_mv |
COVID-19 SARS-CoV-2 contact tracing Information systems Contamination risk Social distancing |
topic |
COVID-19 SARS-CoV-2 contact tracing Information systems Contamination risk Social distancing |
description |
Purpose: 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. |
publishDate |
2021 |
dc.date.accessioned.fl_str_mv |
2021-07-29T19:33:37Z |
dc.date.available.fl_str_mv |
2021-07-29T19:33:37Z |
dc.date.issued.fl_str_mv |
22-03-21 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.pt_BR.fl_str_mv |
https://www.emerald.com/insight/content/doi/10.1108/LHT-11-2020-0276/full/html |
dc.identifier.citation.fl_str_mv |
Rocha, 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-11-2020-0276 |
dc.identifier.uri.fl_str_mv |
https://repositorio.unifesp.br/handle/11600/61338 |
dc.identifier.doi.pt_BR.fl_str_mv |
10.1108/LHT-11-2020-0276 |
url |
https://www.emerald.com/insight/content/doi/10.1108/LHT-11-2020-0276/full/html https://repositorio.unifesp.br/handle/11600/61338 |
identifier_str_mv |
Rocha, 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-11-2020-0276 10.1108/LHT-11-2020-0276 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Library Hi Tech |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Emerald Publishing Limited |
publisher.none.fl_str_mv |
Emerald Publishing Limited |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UNIFESP instname:Universidade Federal de São Paulo (UNIFESP) instacron:UNIFESP |
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Universidade Federal de São Paulo (UNIFESP) |
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UNIFESP |
institution |
UNIFESP |
reponame_str |
Repositório Institucional da UNIFESP |
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Repositório Institucional da UNIFESP |
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repository.name.fl_str_mv |
Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP) |
repository.mail.fl_str_mv |
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