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dc.contributorDepartament de Salut
dc.contributor.authorCiruela-Navas, Pilar
dc.contributor.authorVilaró, Marta
dc.contributor.authorCarmona-Parcerisa, Glòria
dc.contributor.authorJané-Checa, Mireia
dc.contributor.authorSoldevila, Núria
dc.contributor.authorGarcia, Tomás
dc.contributor.authorHernández-Baeza, Sergi
dc.contributor.authorRuiz, Laura
dc.contributor.authorDomínguez, Ángela
dc.contributor.authorWorking Group of the Microbiological Reporting System of Catalonia
dc.contributor.authorWorking Group of the Epidemiological Surveillance Network of Catalonia
dc.date.accessioned2022-08-09T06:55:36Z
dc.date.available2022-08-09T06:55:36Z
dc.date.issued2022-06-21
dc.identifier.citationCiruela P, Vilaró M, Carmona G, Jané M, Soldevilla N, Garcia T, et al. Estimation of the incidence of invasive meningococcal disease using a capture-recapture model based on two independent surveillance systems in Catalonia, Spain. BMJ Open. 2022 Jun 21;12(6):e058003.
dc.identifier.issn2044-6055
dc.identifier.urihttp://hdl.handle.net/11351/7970
dc.descriptionDiagnostic microbiology; Epidemiology; Infection control; Molecular diagnostics
dc.description.abstractObjectives: Invasive meningococcal disease (IMD) is an urgent notifiable disease and its early notification is essential to prevent cases. The objective of the study was to assess the sensitivity of two independent surveillance systems and to estimate the incidence of IMD. Design: We used capture-recapture model based on two independent surveillance systems, the statutory disease reporting (SDR) system and the microbiological reporting system (MRS) of the Public Health Agency of Catalonia, between 2011 and 2015. The capture-recapture analysis and 95% CIs were calculated using the Chapman formula. Multivariate vector generalised linear model was performed for adjusted estimation. Measures: The variables collected were age, sex, year of report, size of municipality (<10 000 and ≥10 000), clinical form, death, serogroup, country of birth and type of reporting centre (private and public). Results: The sensitivity of the two combined surveillance systems was 88.5% (85.0-92.0). SDR had greater sensitivity than the MRS (67.9%; 62.7-73.1 vs 64.7%; 59.4-70.0). In 2014-2015, the sensitivity of both systems was higher (80.6%; 73.2-87.9 vs 73.4%; 65.2-81.6) than in 2011-2013 (59.3%; 52.6-66.0 vs 58.3%; 51.6-65.1). In private centres, the sensitivity was higher for SDR than for MRS (100%; 100-100 vs 4.8%; -4.4-13.9). The adjusted estimate of IMD cases was lower than that obtained using the Chapman formula (279; 266-296 vs 313; 295-330). The estimated adjusted incidence of IMD was 0.7/100 000 persons-year. Conclusions: The sensitivity of enhanced surveillance through the combination of two complementary sources was higher than for the sources individually. Factors associated with under-reporting in different systems should be analysed to improve IMD surveillance.
dc.language.isoeng
dc.publisherBMJ Publishing Group
dc.relation.ispartofseriesBMJ Open;12(6)
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourceScientia
dc.subjectDiagnòstic molecular
dc.subjectMeningococcèmia - Epidemiologia
dc.subject.meshMeningitis, Meningococcal
dc.subject.mesh/epidemiology
dc.subject.meshInfection Control
dc.titleEstimation of the incidence of invasive meningococcal disease using a capture– recapture model based on two independent surveillance systems in Catalonia, Spain
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1136/ bmjopen-2021-058003
dc.subject.decsMeningitis Meningocócica
dc.subject.decs/epidemiología
dc.subject.decsControl de Infecciones
dc.relation.publishversionhttps://doi.org/10.1136/bmjopen-2021-058003
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.audienceProfessionals
dc.contributor.authoraffiliation[Ciruela P] Agència de Salut Pública de Catalunya (ASPCAT), Departament de Salut, Generalitat de Catalunya, Barcelona, Spain. CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain. [Vilaró M, Soldevilla N, Domínguez A] CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain. Departament de Medicina, Universitat de Barcelona, Barcelona, Spain. [Carmona G, Garcia T, Hernández S, Ruiz L] Agència de Salut Pública de Catalunya (ASPCAT), Departament de Salut, Generalitat de Catalunya, Barcelona, Spain. [Jané M] Agència de Salut Pública de Catalunya (ASPCAT), Departament de Salut, Generalitat de Catalunya, Barcelona, Spain. CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain. Departament de Medicina, Universitat de Barcelona, Barcelona, Spain
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess


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