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Article Dans Une Revue Infection Control and Hospital Epidemiology Année : 2015

Combining High-Resolution Contact Data with Virological Data to Investigate Influenza Transmission in a Tertiary Care Hospital

Nicolas Voirin
  • Fonction : Auteur
Cécile Payet
  • Fonction : Auteur
Ciro Cattuto
  • Fonction : Auteur
Nagham Khanafer
  • Fonction : Auteur
  • PersonId : 764595
  • IdRef : 180381059
Corinne Régis
Byeul-A Kim
  • Fonction : Auteur
Brigitte Comte
  • Fonction : Auteur
Jean-Sébastien Casalegno
  • Fonction : Auteur
Bruno Lina
Philippe Vanhems

Résumé

objective. Contact patterns and microbiological data contribute to a detailed understanding of infectious disease transmission. We explored the automated collection of high-resolution contact data by wearable sensors combined with virological data to investigate influenza transmission among patients and healthcare workers in a geriatric unit. design. Proof-of-concept observational study. Detailed information on contact patterns were collected by wearable sensors over 12 days. Systematic nasopharyngeal swabs were taken, analyzed for influenza A and B viruses by real-time polymerase chain reaction, and cultured for phylogenetic analysis. setting. An acute-care geriatric unit in a tertiary care hospital. participants. Patients, nurses, and medical doctors. results. A total of 18,765 contacts were recorded among 37 patients, 32 nurses, and 15 medical doctors. Most contacts occurred between nurses or between a nurse and a patient. Fifteen individuals had influenza A (H3N2). Among these, 11 study participants were positive at the beginning of the study or at admission, and 3 patients and 1 nurse acquired laboratory-confirmed influenza during the study. Infectious medical doctors and nurses were identified as potential sources of hospital-acquired influenza (HA-Flu) for patients, and infectious patients were identified as likely sources for nurses. Only 1 potential transmission between nurses was observed. conclusions. Combining high-resolution contact data and virological data allowed us to identify a potential transmission route in each possible case of HA-Flu. This promising method should be applied for longer periods in larger populations, with more complete use of phylogenetic analyses, for a better understanding of influenza transmission dynamics in a hospital setting.
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Dates et versions

hal-01123961 , version 1 (05-03-2015)

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Nicolas Voirin, Cécile Payet, Alain Barrat, Ciro Cattuto, Nagham Khanafer, et al.. Combining High-Resolution Contact Data with Virological Data to Investigate Influenza Transmission in a Tertiary Care Hospital. Infection Control and Hospital Epidemiology, 2015, 36 (3), pp.254. ⟨10.1017/ice.2014.53⟩. ⟨hal-01123961⟩
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