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Estimation of the incidence of invasive meningococcal disease using a capture–recapture model based on two independent surveillance systems in Catalonia, Spain

Authors :
Pilar Ciruela
Carmen Munoz-Almagro
Cristina Rius
Tomas Pumarola
Frederic Gomez-Bertomeu
Núria Soldevila
Ángela Domínguez
LAURA RUIZ
Ana Calderon
Ana Martinez
M Ángeles Domínguez
Mercé Garcia
Dionisia Fontanals
Gloria Carmona
Pere Godoy
Goretti Sauca
Jordi Vila
Marta Vilaró
Mireia Jané
Tomás Garcia
Sergi Hernández
Maria Teresa Bastida
Frederic Ballester
Isabel Pujol
Miguel Angel Benítez
Alba Cebollero
Jordi Bosch
Margarida Curriu
Fe Tubau Quintano
Jose Manuel Ramirez
Ma Jose Fusté
Carme Gallés
Pilar Hernandez Pérez
ElisendaCapdevila GildeBernabe
Paula Gassiot
Araceli González-Cuevas
Marius Juanpere
Amaresch Perez Arguello
Carmina Martí
Nuria Margall
Lurdes Matas
Montserrat Giménez
Montserrat Morta
Gloria Trujillo
Silvia Noguer
Montserrat Olsina
Amaia Oteiza Ubanell
Pepa Perez
Mar Olga Pérez-Moreno
Juanjo Gonzales
Xavier Raga
Mercè Ribelles
Esther Sanfeliu
Isabel Sanfeliu
Anna Vilamala
César Arias
Irene Barrabeig
Neus Camps
Mònica Carol
Núria Follia
Sofia Minguell
Ignasi Parron
Ma Rosa Sala-Farré
Ariadna Rovira
Source :
BMJ Open, Vol 12, Iss 6 (2022)
Publication Year :
2022
Publisher :
BMJ Publishing Group, 2022.

Abstract

Objectives 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 (

Subjects

Subjects :
Medicine

Details

Language :
English
ISSN :
20446055
Volume :
12
Issue :
6
Database :
Directory of Open Access Journals
Journal :
BMJ Open
Publication Type :
Academic Journal
Accession number :
edsdoj.7c80ddc5f3c46f48bbc77a0ee9a2f76
Document Type :
article
Full Text :
https://doi.org/10.1136/bmjopen-2021-058003