Détail du document
Identifiant

oai:HAL:hal-04157830v1

Sujet
epidemiology influenza transmissibility [SDV.MHEP.MI]Life Sciences [q-bio]... [SDV.MHEP.GEG]Life Sciences [q-bio... [SDV.SPEE]Life Sciences [q-bio]/Sa...
Auteur
Gustin, Marie Paule Pujo-Menjouet, Laurent Vanhems, Philippe
Langue
en
Editeur

HAL CCSD;Nature Publishing Group

Catégorie

CNRS - Centre national de la recherche scientifique

Année

2023

Date de référencement

07/10/2023

Mots clés
health rate sciences transmissibility influenza transmission
Métrique

Résumé

International audience; Detailed information are lacking on influenza transmissibility in hospital although clusters are regularly reported.

In this pilot study, our goal was to estimate the transmission rate of H3N2 2012-influenza, among patients and health care professionals in a short-term Acute Care for the Elderly Unit by using a stochastic approach and a simple susceptible-exposed-infectious-removed model.

Transmission parameters were derived from documented individual contact data collected by Radio Frequency IDentification technology at the epidemic peak.

From our model, nurses appeared to transmit infection to a patient more frequently with a transmission rate of 1.04 per day on average compared to 0.38 from medical doctors.

This transmission rate was 0.34 between nurses.

These results, even obtained in this specific context, might give a relevant insight of the influenza dynamics in hospitals and will help to improve and to target control measures for preventing nosocomial transmission of influenza.

The investigation of nosocomial transmission of SARS-COV-2 might gain from similar approaches.

Gustin, Marie Paule,Pujo-Menjouet, Laurent,Vanhems, Philippe, 2023, Influenza transmissibility among patients and health-care professionals in a geriatric short-stay unit using individual contact data, HAL CCSD;Nature Publishing Group

Document

Ouvrir

Partager

Source

Articles recommandés par ES/IODE IA

Hespi: A pipeline for automatically detecting information from hebarium specimen sheets
science recognition institutional detects text-based text pipeline specimen