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Association between the COVID-19 pandemic and pertussis derived from multiple nationwide data sources, France, 2013 to 2020
BACKGROUND: Interventions to mitigate the COVID-19 pandemic may impact other respiratory diseases. AIMS: We aimed to study the course of pertussis in France over an 8-year period including the beginning of the COVID-19 pandemic and its association with COVID-19 mitigation strategies, using multiple...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
European Centre for Disease Prevention and Control (ECDC)
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229195/ https://www.ncbi.nlm.nih.gov/pubmed/35748301 http://dx.doi.org/10.2807/1560-7917.ES.2022.27.25.2100933 |
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author | Matczak, Soraya Levy, Corinne Fortas, Camille Cohen, Jérémie F Béchet, Stéphane Aït El Belghiti, Fatima Guillot, Sophie Trombert-Paolantoni, Sabine Jacomo, Véronique Savitch, Yann Paireau, Juliette Brisse, Sylvain Guiso, Nicole Lévy-Bruhl, Daniel Cohen, Robert Toubiana, Julie |
author_facet | Matczak, Soraya Levy, Corinne Fortas, Camille Cohen, Jérémie F Béchet, Stéphane Aït El Belghiti, Fatima Guillot, Sophie Trombert-Paolantoni, Sabine Jacomo, Véronique Savitch, Yann Paireau, Juliette Brisse, Sylvain Guiso, Nicole Lévy-Bruhl, Daniel Cohen, Robert Toubiana, Julie |
author_sort | Matczak, Soraya |
collection | PubMed |
description | BACKGROUND: Interventions to mitigate the COVID-19 pandemic may impact other respiratory diseases. AIMS: We aimed to study the course of pertussis in France over an 8-year period including the beginning of the COVID-19 pandemic and its association with COVID-19 mitigation strategies, using multiple nationwide data sources and regression models. METHODS: We analysed the number of French pertussis cases between 2013 and 2020, using PCR test results from nationwide outpatient laboratories (Source 1) and a network of the paediatric wards from 41 hospitals (Source 2). We also used reports of a national primary care paediatric network (Source 3). We conducted a quasi-experimental interrupted time series analysis, relying on negative binomial regression models. The models accounted for seasonality, long-term cycles and secular trend, and included a binary variable for the first national lockdown (start 16 March 2020). RESULTS: We identified 19,039 pertussis cases from these data sources. Pertussis cases decreased significantly following the implementation of mitigation measures, with adjusted incidence rate ratios of 0.10 (95% CI: 0.04–0.26) and 0.22 (95% CI: 0.07–0.66) for Source 1 and Source 2, respectively. The association was confirmed in Source 3 with a median of, respectively, one (IQR: 0–2) and 0 cases (IQR: 0–0) per month before and after lockdown (p = 0.0048). CONCLUSIONS: The strong reduction in outpatient and hospitalised pertussis cases suggests an impact of COVID-19 mitigation measures on pertussis epidemiology. Pertussis vaccination recommendations should be followed carefully, and disease monitoring should be continued to detect any resurgence after relaxation of mitigation measures. |
format | Online Article Text |
id | pubmed-9229195 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | European Centre for Disease Prevention and Control (ECDC) |
record_format | MEDLINE/PubMed |
spelling | pubmed-92291952022-07-06 Association between the COVID-19 pandemic and pertussis derived from multiple nationwide data sources, France, 2013 to 2020 Matczak, Soraya Levy, Corinne Fortas, Camille Cohen, Jérémie F Béchet, Stéphane Aït El Belghiti, Fatima Guillot, Sophie Trombert-Paolantoni, Sabine Jacomo, Véronique Savitch, Yann Paireau, Juliette Brisse, Sylvain Guiso, Nicole Lévy-Bruhl, Daniel Cohen, Robert Toubiana, Julie Euro Surveill Surveillance BACKGROUND: Interventions to mitigate the COVID-19 pandemic may impact other respiratory diseases. AIMS: We aimed to study the course of pertussis in France over an 8-year period including the beginning of the COVID-19 pandemic and its association with COVID-19 mitigation strategies, using multiple nationwide data sources and regression models. METHODS: We analysed the number of French pertussis cases between 2013 and 2020, using PCR test results from nationwide outpatient laboratories (Source 1) and a network of the paediatric wards from 41 hospitals (Source 2). We also used reports of a national primary care paediatric network (Source 3). We conducted a quasi-experimental interrupted time series analysis, relying on negative binomial regression models. The models accounted for seasonality, long-term cycles and secular trend, and included a binary variable for the first national lockdown (start 16 March 2020). RESULTS: We identified 19,039 pertussis cases from these data sources. Pertussis cases decreased significantly following the implementation of mitigation measures, with adjusted incidence rate ratios of 0.10 (95% CI: 0.04–0.26) and 0.22 (95% CI: 0.07–0.66) for Source 1 and Source 2, respectively. The association was confirmed in Source 3 with a median of, respectively, one (IQR: 0–2) and 0 cases (IQR: 0–0) per month before and after lockdown (p = 0.0048). CONCLUSIONS: The strong reduction in outpatient and hospitalised pertussis cases suggests an impact of COVID-19 mitigation measures on pertussis epidemiology. Pertussis vaccination recommendations should be followed carefully, and disease monitoring should be continued to detect any resurgence after relaxation of mitigation measures. European Centre for Disease Prevention and Control (ECDC) 2022-06-23 /pmc/articles/PMC9229195/ /pubmed/35748301 http://dx.doi.org/10.2807/1560-7917.ES.2022.27.25.2100933 Text en This article is copyright of the authors or their affiliated institutions, 2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made. |
spellingShingle | Surveillance Matczak, Soraya Levy, Corinne Fortas, Camille Cohen, Jérémie F Béchet, Stéphane Aït El Belghiti, Fatima Guillot, Sophie Trombert-Paolantoni, Sabine Jacomo, Véronique Savitch, Yann Paireau, Juliette Brisse, Sylvain Guiso, Nicole Lévy-Bruhl, Daniel Cohen, Robert Toubiana, Julie Association between the COVID-19 pandemic and pertussis derived from multiple nationwide data sources, France, 2013 to 2020 |
title | Association between the COVID-19 pandemic and pertussis derived from multiple nationwide data sources, France, 2013 to 2020 |
title_full | Association between the COVID-19 pandemic and pertussis derived from multiple nationwide data sources, France, 2013 to 2020 |
title_fullStr | Association between the COVID-19 pandemic and pertussis derived from multiple nationwide data sources, France, 2013 to 2020 |
title_full_unstemmed | Association between the COVID-19 pandemic and pertussis derived from multiple nationwide data sources, France, 2013 to 2020 |
title_short | Association between the COVID-19 pandemic and pertussis derived from multiple nationwide data sources, France, 2013 to 2020 |
title_sort | association between the covid-19 pandemic and pertussis derived from multiple nationwide data sources, france, 2013 to 2020 |
topic | Surveillance |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229195/ https://www.ncbi.nlm.nih.gov/pubmed/35748301 http://dx.doi.org/10.2807/1560-7917.ES.2022.27.25.2100933 |
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