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Infect Control Hosp Epidemiol. 2015 Mar;36(3):254-60. doi: 10.1017/ice.2014.53.

Combining high-resolution contact data with virological data to investigate influenza transmission in a tertiary care hospital.

Author information

1
1Service d'Hygiène,Epidémiologie et Prévention,Hôpital Edouard Herriot,Hospices Civils de Lyon,Lyon,France.
2
3Université Aix Marseille,Université de Toulon,CNRS,CPT UMR 7332,13288 Marseille,France.
3
4Data Science Laboratory,ISI Foundation,Turin,Italy.
4
2Université de Lyon,Université Lyon 1,Lyon,France.
5
5Service de gériatrie,Hôpital Edouard Herriot,Hospices Civils de Lyon,Lyon,France.

Abstract

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.

PMID:
25695165
DOI:
10.1017/ice.2014.53
[Indexed for MEDLINE]

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