1. Association between the COVID-19 pandemic and pertussis derived from multiple nationwide data sources, France, 2013 to 2020
- Author
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Soraya Matczak, Corinne Levy, Camille Fortas, Jérémie F Cohen, Stéphane Béchet, Fatima Aït El Belghiti, Sophie Guillot, Sabine Trombert-Paolantoni, Véronique Jacomo, Yann Savitch, Juliette Paireau, Sylvain Brisse, Nicole Guiso, Daniel Lévy-Bruhl, Robert Cohen, Julie Toubiana, Biodiversité et Epidémiologie des Bactéries pathogènes - Biodiversity and Epidemiology of Bacterial Pathogens, Institut Pasteur [Paris] (IP)-Université Paris Cité (UPCité), CHU Necker - Enfants Malades [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Institut Mondor de Recherche Biomédicale (IMRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Association Clinique et Thérapeutique Infantile du Val de Marne (ACTIV), Groupe de Pathologie Infectieuse Pédiatrique [Paris] (GPIP), Société Française de Pédiatrie (SFP), Centre de Recherche Clinique [Créteil] (CRC), Centre Hospitalier Intercommunal de Créteil (CHIC), Association Française de Pédiatrie Ambulatoire (AFPA), Santé publique France - French National Public Health Agency [Saint-Maurice, France], Equipe 1 : EPOPé - Épidémiologie Obstétricale, Périnatale et Pédiatrique (CRESS - U1153), Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centre national de Référence de la Coqueluche et autres Bordetelloses - National Reference Center for Whooping Cough and other Bordetella infections (CNR), Institut Pasteur [Paris] (IP), Laboratoire CERBA [Saint Ouen l'Aumône], Eurofins Biomnis, Modélisation mathématique des maladies infectieuses - Mathematical modelling of Infectious Diseases, and Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)
- Subjects
Epidemiology ,[SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases ,Whooping Cough ,Virology ,Communicable Disease Control ,Public Health, Environmental and Occupational Health ,COVID-19 ,Humans ,Information Storage and Retrieval ,France ,Child ,Pandemics - Abstract
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.
- Published
- 2022
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