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Relationship between the population incidence of pertussis in children in New South Wales, Australia and emergency department visits with cough: a time series analysis

BACKGROUND: Little is known about the potential of syndromic surveillance to provide early warning of pertussis outbreaks. We conducted a time series analysis to assess whether an emergency department (ED) cough syndrome would respond to changes in the incidence of pertussis in children aged under 1...

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Autores principales: Cashmore, Aaron W, Muscatello, David J, Merrifield, Alistair, Spokes, Paula, Macartney, Kristine, Jalaludin, Bin B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3637193/
https://www.ncbi.nlm.nih.gov/pubmed/23537222
http://dx.doi.org/10.1186/1472-6947-13-40
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author Cashmore, Aaron W
Muscatello, David J
Merrifield, Alistair
Spokes, Paula
Macartney, Kristine
Jalaludin, Bin B
author_facet Cashmore, Aaron W
Muscatello, David J
Merrifield, Alistair
Spokes, Paula
Macartney, Kristine
Jalaludin, Bin B
author_sort Cashmore, Aaron W
collection PubMed
description BACKGROUND: Little is known about the potential of syndromic surveillance to provide early warning of pertussis outbreaks. We conducted a time series analysis to assess whether an emergency department (ED) cough syndrome would respond to changes in the incidence of pertussis in children aged under 10 years in New South Wales (NSW), Australia, and to evaluate the timing of any association. A further aim was to assess the lag between the onset of pertussis symptoms and case notification in the infectious diseases surveillance system in NSW. METHODS: Using routinely collected data, we prepared a daily count time series of visits to NSW EDs assigned a provisional diagnosis of cough. Separate daily series were prepared for three independent variables: notifications of cases of pertussis and influenza and ED visits with bronchiolitis (a proxy measure of respiratory syncytial virus (RSV) infection). The study period was 1/1/2007-31/12/2010. A negative binomial multivariate model was used to assess associations between the outcome and independent variables. We also evaluated the median delay in days between the estimated onset of a case of pertussis and the date the local public health authority was notified of that case. RESULTS: When notified pertussis increased by 10 cases in one day, ED visits with cough increased by 5.2% (95% confidence interval (CI): 0.5%-10.0%) seven days later. Daily increases in the other independent variables had a smaller impact on cough visits. When notified influenza increased by 10 cases in one day, ED visits with cough increased by 0.8% (95% CI: 0%-1.7%) seven days later. When ED visits with bronchiolitis increased by 10 visits in one day, ED visits with cough increased by 4.8% (95% CI: 1.2%-8.6%) one day earlier. The median interval between estimated onset of pertussis and case notification was seven days. CONCLUSIONS: Pertussis appears to be an important driver of ED visits with cough in children aged under 10 years. However, the median delay in notification of cases of pertussis was similar to the lag in the pertussis-associated short-term increases in ED visits with cough. Elevations in RSV and influenza activity may also explain increases in the ED cough syndrome. Real time monitoring of ED visits with cough in children is therefore unlikely to consistently detect a potential outbreak of pertussis before passive surveillance.
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spelling pubmed-36371932013-05-01 Relationship between the population incidence of pertussis in children in New South Wales, Australia and emergency department visits with cough: a time series analysis Cashmore, Aaron W Muscatello, David J Merrifield, Alistair Spokes, Paula Macartney, Kristine Jalaludin, Bin B BMC Med Inform Decis Mak Research Article BACKGROUND: Little is known about the potential of syndromic surveillance to provide early warning of pertussis outbreaks. We conducted a time series analysis to assess whether an emergency department (ED) cough syndrome would respond to changes in the incidence of pertussis in children aged under 10 years in New South Wales (NSW), Australia, and to evaluate the timing of any association. A further aim was to assess the lag between the onset of pertussis symptoms and case notification in the infectious diseases surveillance system in NSW. METHODS: Using routinely collected data, we prepared a daily count time series of visits to NSW EDs assigned a provisional diagnosis of cough. Separate daily series were prepared for three independent variables: notifications of cases of pertussis and influenza and ED visits with bronchiolitis (a proxy measure of respiratory syncytial virus (RSV) infection). The study period was 1/1/2007-31/12/2010. A negative binomial multivariate model was used to assess associations between the outcome and independent variables. We also evaluated the median delay in days between the estimated onset of a case of pertussis and the date the local public health authority was notified of that case. RESULTS: When notified pertussis increased by 10 cases in one day, ED visits with cough increased by 5.2% (95% confidence interval (CI): 0.5%-10.0%) seven days later. Daily increases in the other independent variables had a smaller impact on cough visits. When notified influenza increased by 10 cases in one day, ED visits with cough increased by 0.8% (95% CI: 0%-1.7%) seven days later. When ED visits with bronchiolitis increased by 10 visits in one day, ED visits with cough increased by 4.8% (95% CI: 1.2%-8.6%) one day earlier. The median interval between estimated onset of pertussis and case notification was seven days. CONCLUSIONS: Pertussis appears to be an important driver of ED visits with cough in children aged under 10 years. However, the median delay in notification of cases of pertussis was similar to the lag in the pertussis-associated short-term increases in ED visits with cough. Elevations in RSV and influenza activity may also explain increases in the ED cough syndrome. Real time monitoring of ED visits with cough in children is therefore unlikely to consistently detect a potential outbreak of pertussis before passive surveillance. BioMed Central 2013-03-28 /pmc/articles/PMC3637193/ /pubmed/23537222 http://dx.doi.org/10.1186/1472-6947-13-40 Text en Copyright © 2013 Cashmore et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Cashmore, Aaron W
Muscatello, David J
Merrifield, Alistair
Spokes, Paula
Macartney, Kristine
Jalaludin, Bin B
Relationship between the population incidence of pertussis in children in New South Wales, Australia and emergency department visits with cough: a time series analysis
title Relationship between the population incidence of pertussis in children in New South Wales, Australia and emergency department visits with cough: a time series analysis
title_full Relationship between the population incidence of pertussis in children in New South Wales, Australia and emergency department visits with cough: a time series analysis
title_fullStr Relationship between the population incidence of pertussis in children in New South Wales, Australia and emergency department visits with cough: a time series analysis
title_full_unstemmed Relationship between the population incidence of pertussis in children in New South Wales, Australia and emergency department visits with cough: a time series analysis
title_short Relationship between the population incidence of pertussis in children in New South Wales, Australia and emergency department visits with cough: a time series analysis
title_sort relationship between the population incidence of pertussis in children in new south wales, australia and emergency department visits with cough: a time series analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3637193/
https://www.ncbi.nlm.nih.gov/pubmed/23537222
http://dx.doi.org/10.1186/1472-6947-13-40
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