ArticlePloS one2013
Measuring social contacts in the emergency department.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A healthy degree of suspicion: A discussion of the implementation of transmission based precautions in the emergency department.Australasian emergency nursing journal : AENJ · 2016Pooled it
- Why population heterogeneity matters for modelling infectious diseases.Interface focus · 2025Article
- Using contact network dynamics to implement efficient interventions against pathogen spread in hospital settings: A modelling study.PLoS medicine · 2024Article
- The Use of Contact Tracing Technologies for Infection Prevention and Control Purposes in Nosocomial Settings: A Systematic Literature Review.Infectious disease reports · 2024Review
- Keep your distance! Measuring staff physical distancing during the Sars-Cov-2 pandemic using a real-time locating system.The American journal of emergency medicine · 2021Observational
- Reorganization of nurse scheduling reduces the risk of healthcare associated infections.Scientific reports · 2021Article
- Use of surveillance technology to enhance exposure management for healthcare workers during the COVID-19 pandemic.The Journal of hospital infection · 2021Article
- Mitigating staff risk in the workplace: the use of RFID technology during a COVID-19 pandemic and beyond.BMJ health & care informatics · 2020Article
- Performance of Digital Contact Tracing Tools for COVID-19 Response in Singapore: Cross-Sectional Study.JMIR mHealth and uHealth · 2020Article
- Use of a Real-Time Locating System for Contact Tracing of Health Care Workers During the COVID-19 Pandemic at an Infectious Disease Center in Singapore: Validation Study.Journal of medical Internet research · 2020Article
- Close proximity interactions support transmission of ESBL-K. pneumoniae but not ESBL-E. coli in healthcare settings.PLoS computational biology · 2019Article
- The Risk of Cross Infection in the Emergency Department: A Simulation Study.Infection control and hospital epidemiology · 2018Article
- Behaviors, movements, and transmission of droplet-mediated respiratory diseases during transcontinental airline flights.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Infectious disease transmission: survey of contacts between hospital-based healthcare workers and working adults from the general population.The Journal of hospital infection · 2018Article
- Measuring dynamic social contacts in a rehabilitation hospital: effect of wards, patient and staff characteristics.Scientific reports · 2018Article
- Contacts of healthcare workers, patients and visitors in general wards in Singapore.Epidemiology and infection · 2017Article
- Contact networks in the emergency department: Effects of time, environment, patient characteristics, and staff role.Social networks · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
backgroundInfectious individuals in an emergency department (ED) bring substantial risks of cross infection. Data about the complex social and spatial structure of interpersonal contacts in the ED will aid construction of biologically plausible transmission risk models that can guide cross infection control. METHODS AND
findingsWe sought to determine the number and duration of contacts among patients and staff in a large, busy ED. This prospective study was conducted between 1 July 2009 and 30 June 2010. Two 12-hour shifts per week were randomly selected for study. The study was conducted in the ED of an urban hospital. There were 81 shifts in the planned random sample of 104 (78%) with usable contact data, during which there were 9183 patient encounters. Of these, 6062 (66%) were approached to participate, of which 4732 (78%) agreed. Over the course of the year, 88 staff members participated (84%). A radiofrequency identification (RFID) system was installed and the ED divided into 89 distinct zones structured so copresence of two individuals in any zone implied a very high probability of contact <1 meter apart in space. During study observation periods, patients and staff were given RFID tags to wear. Contact events were recorded. These were further broken down with respect to the nature of the contacts, i.e., patient with patient, patient with staff, and staff with staff. 293,171 contact events were recorded, with a median of 22 contact events and 9 contacts with distinct individuals per participant per shift. Staff-staff interactions were more numerous and longer than patient-patient or patient-staff interactions.
conclusionsWe used RFID to quantify contacts between patients and staff in a busy ED. These results are useful for studies of the spread of infections. By understanding contact patterns most important in potential transmission, more effective prevention strategies may be implemented.
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