H2N2V1, Hal, Corpus, bibRecord, 000040

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

Identifieur interne : 000040 ( Hal/Corpus ); précédent : 000039; suivant : 000041

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

Auteurs : Nicolas Voirin ; Ce Cile Payet ; Alain Barrat ; Ciro Cattuto ; Nagham Khanafer ; Corinne Re Gis ; Byeul-A Kim ; Brigitte Comte ; Jean-Se Bastien Casalegno ; Bruno Lina ; Philippe Vanhems

Source :

Infection Control and Hospital Epidemiology [ 0899-823X ] ; 2015-03-01.

RBID : Hal:hal-01123961

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.

Url:

https://hal.archives-ouvertes.fr/hal-01123961

DOI: 10.1017/ice.2014.53

Links to Exploration step

Hal:hal-01123961

Le document en format XML

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<front><div type="abstract" xml:lang="en">              <p>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.</p>
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              </analytic>
              <monogr>                <idno type="halJournalId" status="VALID">14166</idno>
                <idno type="issn">0899-823X</idno>
                <idno type="eissn">1559-6834</idno>
                <title level="j">Infection Control and Hospital Epidemiology</title>
                <imprint>                  <publisher>University of Chicago Press</publisher>
                  <biblScope unit="volume">36</biblScope>
                  <biblScope unit="issue">3</biblScope>
                  <biblScope unit="pp">254</biblScope>
                  <date type="datePub">2015-03-01</date>
                </imprint>
              </monogr>
              <idno type="doi">10.1017/ice.2014.53</idno>
            </biblStruct>
          </sourceDesc>
          <profileDesc>            <langUsage>              <language ident="en">English</language>
            </langUsage>
            <textClass>              <classCode scheme="halDomain" n="sdv.mhep.mi">Life Sciences [q-bio]/Human health and pathology/Infectious diseases</classCode>
              <classCode scheme="halTypology" n="ART">Journal articles</classCode>
            </textClass>
            <abstract xml:lang="en">              <p>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.</p>
            </abstract>
          </profileDesc>
        </hal>
</record>

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

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

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