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Prioritizing COVID-19 tests based on participatory surveillance and spatial scanning.
Leal-Neto, O B; Santos, F A S; Lee, J Y; Albuquerque, J O; Souza, W V.
Afiliação
  • Leal-Neto OB; Department of Economics, University of Zurich, Zurich, Switzerland; Epitrack, Recife, Brazil. Electronic address: onicio.leal@econ.uzh.ch.
  • Santos FAS; Agreste Academic Center, Federal University of Pernambuco, Caruaru, Brazil.
  • Lee JY; Colab, São Paulo, Brazil.
  • Albuquerque JO; Epitrack, Recife, Brazil; Immunopathology Laboratory Keizo Asami, Federal University of Pernambuco, Recife, Brazil.
  • Souza WV; Aggeu Magalhães Research Center, Oswaldo Cruz Foundation, Recife, Brazil.
Int J Med Inform ; 143: 104263, 2020 11.
Article em En | MEDLINE | ID: mdl-32877853
OBJECTIVES: 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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vigilância da População / Infecções por Coronavirus / Teste para COVID-19 / COVID-19 Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Screening_studies Limite: Adolescent / Adult / Humans / Middle aged País/Região como assunto: America do sul / Brasil Idioma: En Revista: Int J Med Inform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de publicação: Irlanda
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vigilância da População / Infecções por Coronavirus / Teste para COVID-19 / COVID-19 Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Screening_studies Limite: Adolescent / Adult / Humans / Middle aged País/Região como assunto: America do sul / Brasil Idioma: En Revista: Int J Med Inform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de publicação: Irlanda