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dc.creatorLeal-Neto, O.B
dc.creatorSantos, F.A.S
dc.creatorLee, J.Y
dc.creatorAlbuquerque, J.O
dc.creatorSouza f, W.V
dc.date.accessioned2020-09-25T16:29:43Z
dc.date.available2020-09-25T16:29:43Z
dc.date.created2020
dc.identifier.issn1386-5056spa
dc.identifier.otherhttps://doi.org/10.1016/j.ijmedinf.2020.104263spa
dc.identifier.urihttp://hdl.handle.net/20.500.12010/13802
dc.description.abstractObjectives: This study aimed to identify, describe and analyze priority areas for COVID-19 testing combining participatory surveillance and traditional surveillance. Design: It was carried out a descriptive transversal study in the city of Caruaru, Pernambuco state, Brazil, within the period of 20/02/2020 to 05/05/2020. Data included all official reports for influenza-like illness notified by the municipality health department and the self-reports collected through the participatory surveillance platform Brasil Sem Corona. Methods: We used linear regression and loess regression to verify a correlation between Participatory Surveillance (PS) and Traditional Surveillance (TS). Also a spatial scanning approach was deployed in order to identify risk clusters for COVID-19. Results: In Caruaru, the PS had 861 active users, presenting an average of 1.2 reports per user per week. The platform Brasil Sem Corona started on March 20th and since then, has been officially used by the Caruaru health authority to improve the quality of information from the traditional surveillance system. Regarding the respiratory syndrome cases from TS, 1588 individuals were positive for this clinical outcome. The spatial scanning analysis detected 18 clusters and 6 of them presented statistical significance (p-value < 0.1). Clusters 3 and 4 presented an overlapping area that was chosen by the local authority to deploy the COVID-19 serology, where 50 individuals were tested. From there, 32 % (n = 16) presented reagent results for antibodies related to COVID-19. Conclusion: Participatory surveillance is an effective epidemiological method to complement the traditional surveillance system in response to the COVID-19 pandemic by adding real-time spatial data to detect priority areas for COVID-19 testing.spa
dc.format.extent6 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherInternational Journal of Medical Informaticsspa
dc.sourcereponame:Expeditio Repositorio Institucional UJTLspa
dc.sourceinstname:Universidad de Bogotá Jorge Tadeo Lozanospa
dc.subjectParticipatory surveillancespa
dc.subjectEpidemiologyspa
dc.subjectSpatial scanningspa
dc.subjectCOVID-19spa
dc.titlePrioritizing COVID-19 tests based on participatory surveillance and spatial scanningspa
dc.type.localArtículospa
dc.subject.lembSíndrome respiratorio agudo gravespa
dc.subject.lembCOVID-19spa
dc.subject.lembSARS-CoV-2spa
dc.subject.lembCoronavirusspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.type.hasversioninfo:eu-repo/semantics/acceptedVersionspa
dc.rights.localAbierto (Texto Completo)spa
dc.identifier.doihttps://doi.org/10.1016/j.ijmedinf.2020.104263spa
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1spa


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