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Close Encounters in a Pediatric Ward: Measuring Face-to-Face Proximity and Mixing Patterns with Wearable Sensors

BACKGROUND: Nosocomial infections place a substantial burden on health care systems and represent one of the major issues in current public health, requiring notable efforts for its prevention. Understanding the dynamics of infection transmission in a hospital setting is essential for tailoring inte...

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Autores principales: Isella, Lorenzo, Romano, Mariateresa, Barrat, Alain, Cattuto, Ciro, Colizza, Vittoria, Van den Broeck, Wouter, Gesualdo, Francesco, Pandolfi, Elisabetta, Ravà, Lucilla, Rizzo, Caterina, Tozzi, Alberto Eugenio
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3046133/
https://www.ncbi.nlm.nih.gov/pubmed/21386902
http://dx.doi.org/10.1371/journal.pone.0017144
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author Isella, Lorenzo
Romano, Mariateresa
Barrat, Alain
Cattuto, Ciro
Colizza, Vittoria
Van den Broeck, Wouter
Gesualdo, Francesco
Pandolfi, Elisabetta
Ravà, Lucilla
Rizzo, Caterina
Tozzi, Alberto Eugenio
author_facet Isella, Lorenzo
Romano, Mariateresa
Barrat, Alain
Cattuto, Ciro
Colizza, Vittoria
Van den Broeck, Wouter
Gesualdo, Francesco
Pandolfi, Elisabetta
Ravà, Lucilla
Rizzo, Caterina
Tozzi, Alberto Eugenio
author_sort Isella, Lorenzo
collection PubMed
description BACKGROUND: Nosocomial infections place a substantial burden on health care systems and represent one of the major issues in current public health, requiring notable efforts for its prevention. Understanding the dynamics of infection transmission in a hospital setting is essential for tailoring interventions and predicting the spread among individuals. Mathematical models need to be informed with accurate data on contacts among individuals. METHODS AND FINDINGS: We used wearable active Radio-Frequency Identification Devices (RFID) to detect face-to-face contacts among individuals with a spatial resolution of about 1.5 meters, and a time resolution of 20 seconds. The study was conducted in a general pediatrics hospital ward, during a one-week period, and included 119 participants, with 51 health care workers, 37 patients, and 31 caregivers. Nearly 16,000 contacts were recorded during the study period, with a median of approximately 20 contacts per participants per day. Overall, 25% of the contacts involved a ward assistant, 23% a nurse, 22% a patient, 22% a caregiver, and 8% a physician. The majority of contacts were of brief duration, but long and frequent contacts especially between patients and caregivers were also found. In the setting under study, caregivers do not represent a significant potential for infection spread to a large number of individuals, as their interactions mainly involve the corresponding patient. Nurses would deserve priority in prevention strategies due to their central role in the potential propagation paths of infections. CONCLUSIONS: Our study shows the feasibility of accurate and reproducible measures of the pattern of contacts in a hospital setting. The obtained results are particularly useful for the study of the spread of respiratory infections, for monitoring critical patterns, and for setting up tailored prevention strategies. Proximity-sensing technology should be considered as a valuable tool for measuring such patterns and evaluating nosocomial prevention strategies in specific settings.
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spelling pubmed-30461332011-03-08 Close Encounters in a Pediatric Ward: Measuring Face-to-Face Proximity and Mixing Patterns with Wearable Sensors Isella, Lorenzo Romano, Mariateresa Barrat, Alain Cattuto, Ciro Colizza, Vittoria Van den Broeck, Wouter Gesualdo, Francesco Pandolfi, Elisabetta Ravà, Lucilla Rizzo, Caterina Tozzi, Alberto Eugenio PLoS One Research Article BACKGROUND: Nosocomial infections place a substantial burden on health care systems and represent one of the major issues in current public health, requiring notable efforts for its prevention. Understanding the dynamics of infection transmission in a hospital setting is essential for tailoring interventions and predicting the spread among individuals. Mathematical models need to be informed with accurate data on contacts among individuals. METHODS AND FINDINGS: We used wearable active Radio-Frequency Identification Devices (RFID) to detect face-to-face contacts among individuals with a spatial resolution of about 1.5 meters, and a time resolution of 20 seconds. The study was conducted in a general pediatrics hospital ward, during a one-week period, and included 119 participants, with 51 health care workers, 37 patients, and 31 caregivers. Nearly 16,000 contacts were recorded during the study period, with a median of approximately 20 contacts per participants per day. Overall, 25% of the contacts involved a ward assistant, 23% a nurse, 22% a patient, 22% a caregiver, and 8% a physician. The majority of contacts were of brief duration, but long and frequent contacts especially between patients and caregivers were also found. In the setting under study, caregivers do not represent a significant potential for infection spread to a large number of individuals, as their interactions mainly involve the corresponding patient. Nurses would deserve priority in prevention strategies due to their central role in the potential propagation paths of infections. CONCLUSIONS: Our study shows the feasibility of accurate and reproducible measures of the pattern of contacts in a hospital setting. The obtained results are particularly useful for the study of the spread of respiratory infections, for monitoring critical patterns, and for setting up tailored prevention strategies. Proximity-sensing technology should be considered as a valuable tool for measuring such patterns and evaluating nosocomial prevention strategies in specific settings. Public Library of Science 2011-02-28 /pmc/articles/PMC3046133/ /pubmed/21386902 http://dx.doi.org/10.1371/journal.pone.0017144 Text en Isella et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Isella, Lorenzo
Romano, Mariateresa
Barrat, Alain
Cattuto, Ciro
Colizza, Vittoria
Van den Broeck, Wouter
Gesualdo, Francesco
Pandolfi, Elisabetta
Ravà, Lucilla
Rizzo, Caterina
Tozzi, Alberto Eugenio
Close Encounters in a Pediatric Ward: Measuring Face-to-Face Proximity and Mixing Patterns with Wearable Sensors
title Close Encounters in a Pediatric Ward: Measuring Face-to-Face Proximity and Mixing Patterns with Wearable Sensors
title_full Close Encounters in a Pediatric Ward: Measuring Face-to-Face Proximity and Mixing Patterns with Wearable Sensors
title_fullStr Close Encounters in a Pediatric Ward: Measuring Face-to-Face Proximity and Mixing Patterns with Wearable Sensors
title_full_unstemmed Close Encounters in a Pediatric Ward: Measuring Face-to-Face Proximity and Mixing Patterns with Wearable Sensors
title_short Close Encounters in a Pediatric Ward: Measuring Face-to-Face Proximity and Mixing Patterns with Wearable Sensors
title_sort close encounters in a pediatric ward: measuring face-to-face proximity and mixing patterns with wearable sensors
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3046133/
https://www.ncbi.nlm.nih.gov/pubmed/21386902
http://dx.doi.org/10.1371/journal.pone.0017144
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