Aller au contenu principal
Accès ouvert déclaré 2023 article

Trends in invasive bacterial diseases during the first 2 years of the COVID-19 pandemic: analyses of prospective surveillance data from 30 countries and territories in the IRIS Consortium

166Citations signalées, ce qui n’est pas une note de qualité
56Institutions déclarées
27Pays d’affiliation déclarés

Rattachement africain : gb, es, co, ie, cn, ch, kr, de, be, dk, nz, Afrique du Sud, fr, ca, is, se, hk, py, cz, pl, fi, lu, au, il, nl, gr, br. Niveau de preuve : code pays fourni par la source.

Le résumé fourni par la source

BACKGROUND: The Invasive Respiratory Infection Surveillance (IRIS) Consortium was established to assess the impact of the COVID-19 pandemic on invasive diseases caused by Streptococcus pneumoniae, Haemophilus influenzae, Neisseria meningitidis, and Streptococcus agalactiae. We aimed to analyse the incidence and distribution of these diseases during the first 2 years of the COVID-19 pandemic compared to the 2 years preceding the pandemic. METHODS: For this prospective analysis, laboratories in 30 countries and territories representing five continents submitted surveillance data from Jan 1, 2018, to Jan 2, 2022, to private projects within databases in PubMLST. The impact of COVID-19 containment measures on the overall number of cases was analysed, and changes in disease distributions by patient age and serotype or group were examined. Interrupted time-series analyses were done to quantify the impact of pandemic response measures and their relaxation on disease rates, and autoregressive integrated moving average models were used to estimate effect sizes and forecast counterfactual trends by hemisphere. FINDINGS: Overall, 116 841 cases were analysed: 76 481 in 2018-19, before the pandemic, and 40 360 in 2020-21, during the pandemic. During the pandemic there was a significant reduction in the risk of disease caused by S pneumoniae (risk ratio 0·47; 95% CI 0·40-0·55), H influenzae (0·51; 0·40-0·66) and N meningitidis (0·26; 0·21-0·31), while no significant changes were observed for S agalactiae (1·02; 0·75-1·40), which is not transmitted via the respiratory route. No major changes in the distribution of cases were observed when stratified by patient age or serotype or group. An estimated 36 289 (95% prediction interval 17 145-55 434) cases of invasive bacterial disease were averted during the first 2 years of the pandemic among IRIS-participating countries and territories. INTERPRETATION: COVID-19 containment measures were associated with a sustained decrease in the incidence of invasive disease caused by S pneumoniae, H influenzae, and N meningitidis during the first 2 years of the pandemic, but cases began to increase in some countries towards the end of 2021 as pandemic restrictions were lifted. These IRIS data provide a better understanding of microbial transmission, will inform vaccine development and implementation, and can contribute to health-care service planning and provision of policies. FUNDING: Wellcome Trust, NIHR Oxford Biomedical Research Centre, Spanish Ministry of Science and Innovation, Korea Disease Control and Prevention Agency, Torsten Söderberg Foundation, Stockholm County Council, Swedish Research Council, German Federal Ministry of Health, Robert Koch Institute, Pfizer, Merck, and the Greek National Public Health Organization.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.

Le contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
Trends in invasive bacterial diseases during the first 2 years of the COVID-19 pandemic: analyses of prospective surveillance data from 30 countries and territories in the IRIS Consortium
Date Crossref
01/09/2023
Éditeur
Elsevier BV
Type
journal-article

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.

Les institutions déclarées

University of OxfordInstituto de Salud Carlos IIIUK Health Security AgencyInstituto Nacional de SaludChildren's Health Ireland at CrumlinChinese Academy of Medical Sciences & Peking Union Medical CollegeUniversity of BernSeoul National UniversityDepartment of HealthUniversity of WürzburgRoyal College of Surgeons in IrelandPublic Health WalesKU LeuvenStatens Serum InstitutNew Zealand Institute for Public Health and Forensic ScienceNational Health Laboratory ServiceInstitut PasteurUniversité Paris CitéPublic Health Agency of CanadaRotunda HospitalNational University Hospital of IcelandHospital Sant Joan de Déu BarcelonaCentro de Investigación Biomédica en Red de Epidemiología y Salud PúblicaPublic Health Agency of SwedenKarolinska University HospitalKarolinska InstitutetBeaumont HospitalChinese University of Hong KongÖrebro UniversityPublic Health AgencyMinisterio de Salud Pública y Bienestar SocialNational Institute of Public HealthNarodowy Instytut LekówFinnish Institute for Health and WelfareUniversity of MonsUniversitair Ziekenhuis BrusselSciensano (Belgium)Trinity College DublinUniversitat Internacional de CatalunyaUniversity of OtagoMinistère de la SantéNew South Wales Department of HealthCentro Nacional de MicrobiologiaLaboratoire National de SantéIsrael Ministry of HealthGlasgow Royal InfirmaryThe University of SydneyTaronga Conservation Society AustraliaUniversity of GlasgowNational Institute for Public Health and the EnvironmentUniversity of West AtticaRWTH Aachen UniversityAmsterdam University Medical CentersUniversity of AmsterdamHôpital Intercommunal de CréteilInstituto Adolfo Lutz

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

Les sujets associés

Bacterial Infections and VaccinesPneumonia and Respiratory InfectionsAntibiotic Use and Resistance

BNTIC News n’est pas le producteur de ces données. Les publications sont interrogées à la demande dans Crossref, OpenAIRE, DOAJ, Europe PMC, HAL, DataCite, AfricArXiv, ROR et la Banque mondiale, sans clé d’accès. OpenAlex reste optionnel. Aucun service payant n’est nécessaire et aucune donnée externe n’est enregistrée en base. Consulter les sources et leurs limites.