Cross-contamination and cross-infection risk of otoscope heads

2013 ◽  
Vol 270 (12) ◽  
pp. 3183-3186 ◽  
Author(s):  
Hakan Korkmaz ◽  
Yeliz Çetinkol ◽  
Mukadder Korkmaz
Keyword(s):  
Infection Risk ◽  
Cross Infection ◽  
Cross Contamination

Influence of human breathing modes on airborne cross infection risk

2016 ◽  
Vol 106 ◽  
pp. 340-351 ◽  
Author(s):  
J.M. Villafruela ◽  
I. Olmedo ◽  
J.F. San José
Keyword(s):  
Infection Risk ◽  
Cross Infection

scholarly journals The Risk of Cross Infection in the Emergency Department: A Simulation Study

2018 ◽  
Vol 39 (6) ◽  
pp. 688-693 ◽  
Author(s):  
Vicki Stover Hertzberg ◽  
Yuke A. Wang ◽  
Lisa K. Elon ◽  
Douglas W. Lowery-North
Keyword(s):  
Emergency Department ◽  
Health Workers ◽  
Detection System ◽  
Infection Risk ◽  
Chief Complaint ◽  
Cross Infection ◽  
Care Staff ◽  
Health Concern ◽  
Influenza Outbreak ◽  
Differential Risk

OBJECTIVESThe risk of cross infection in a busy emergency department (ED) is a serious public health concern, especially in times of pandemic threats. We simulated cross infections due to respiratory diseases spread by large droplets using empirical data on contacts (ie, close-proximity interactions of ≤1m) in an ED to quantify risks due to contact and to examine factors with differential risks associated with them.DESIGNProspective study.PARTICIPANTSHealth workers (HCWs) and patients.SETTINGA busy ED.METHODSData on contacts between participants were collected over 6 months by observing two 12-hour shifts per week using a radiofrequency identification proximity detection system. We simulated cross infection due to a novel agent across these contacts to determine risks associated with HCW role, chief complaint category, arrival mode, and ED disposition status.RESULTSCross-infection risk between HCWs was substantially greater than between patients or between patients and HCWs. Providers had the least risk, followed by nurses, and nonpatient care staff had the most risk. There were no differences by patient chief complaint category. We detected differential risk patterns by arrival mode and by HCW role. Although no differential risk was associated with ED disposition status, 0.1 infections were expected per shift among patients admitted to hospital.CONCLUSIONThese simulations demonstrate that, on average, 11 patients who were infected in the ED will be admitted to the hospital over the course of an 8-week local influenza outbreak. These patients are a source of further cross-infection risk once in the hospital.Infect Control Hosp Epidemiol 2018;39:688–693

scholarly journals The reuse of opthalmic minims®: an unacceptable cross-infection risk?

Eye ◽  
2009 ◽  
Vol 24 (1) ◽  
pp. 50-52 ◽  
Author(s):  
P Rautenbach ◽  
A Wilson ◽  
P Gouws
Keyword(s):  
Infection Risk ◽  
Cross Infection

scholarly journals Cross-infection risk of felt-tipped marker pens in cataract surgery

Eye ◽  
2008 ◽  
Vol 23 (5) ◽  
pp. 1094-1097 ◽  
Author(s):  
D A Sim ◽  
N Feasey ◽  
S Wren ◽  
A Breathnach ◽  
G Thompson
Keyword(s):  
Cataract Surgery ◽  
Infection Risk ◽  
Cross Infection

scholarly journals The reuse of ophthalmic minims: an unacceptable cross-infection risk?

Eye ◽  
2010 ◽  
Vol 24 (8) ◽  
pp. 1421-1422 ◽  
Author(s):  
Y C Yap ◽  
M Smith ◽  
D Byles
Keyword(s):  
Infection Risk ◽  
Cross Infection

Transient Model for Particle Dispersion Generated by High Momentum Respiratory Activities in Spaces Ventilated by Displacement Ventilation System

2015 ◽  
Author(s):  
Carine Hanna Habchi ◽  
Kamel Ghali ◽  
Nesreen Ghaddar
Keyword(s):  
Flow Rate ◽  
Transport Model ◽  
Ventilation System ◽  
Particle Diameter ◽  
Particle Dispersion ◽  
Cross Infection ◽  
Thermal Plume ◽  
Cross Contamination ◽  
Breathing Zone ◽  
Displacement Ventilation

A transient zonal model wit is developed to study particle distribution resulting from transient respiratory activities in spaces ventilated by displacement ventilation system (DV). Two transient sub-models are coupled: a transport model of exhaled particles computing the percentage of generated particles penetrating the infected thermal plume and tracking the exhaled jet propagation, and a transport model predicting particle exchange between the different affected layers and regions. A parametric study was performed to determine the effect of different factors on the risk of cross-infection between the occupants: exhalation velocity, DV flow rate, distance separating the occupants and particle diameter. It was observed that with the increase of the DV flow rate, the ventilation effectiveness increases reducing particle accumulation in the breathing zone. The risk of cross-contamination becomes higher for reduced separating distance between the occupants, and for increased cough velocity, as the momentum of released droplets and their quantity increase. Therefore, it was found that to reduce cross-infection, measures can be considered as avoiding getting close to an infected occupant and covering the mouth during a cough. In addition, assisting DV system by chair fans is expected to reduce cross-contamination by increasing the strength of the rising thermal plumes.

scholarly journals Stopping the COVID-19 pandemic in dental offices: A review of SARS-CoV-2 transmission and cross-infection prevention

2021 ◽  
pp. 153537022110341
Author(s):  
Maya Hartig ◽  
Carley Stephens ◽  
Aaron Foster ◽  
Douglas Fontes ◽  
Michael Kinzel ◽  
...  
Keyword(s):  
Infection Prevention ◽  
Cross Infection ◽  
Protective Equipment ◽  
Cross Contamination ◽  
Treatment Protocols ◽  
Vulnerable Patients ◽  
Rapid Tests ◽  
Dental Offices ◽  
Anxiety And Fear

Due to the essential role of dentists in stopping the COVID-19 pandemic, the purpose of this review is to help dentists to detect any weaknesses in their disinfection and cross-contamination prevention protocols, and to triage dental treatments to meet the needs of patients during the pandemic. We used PRISMA to identify peer-reviewed publications which supplemented guidance from the center for disease control about infection control and guidelines for dentists. Dentists must triage dental treatments to meet the needs of patients during the pandemic. The ongoing pandemic has changed the practice of dentistry forever, the changes make it more cumbersome, time-consuming, and costly due to the possible pathways of transmission and mitigation steps needed to prevent the spread of COVID-19. Dental chairside rapid tests for SARS-CoV-2 are urgently needed. Until then, dentists need to screen patients for COVID-19 even though 75% of people with COVID-19 have no symptoms. Despite the widespread anxiety and fear of the devastating health effects of COVID-19, only 61% of dentists have implemented a change to their treatment protocols. As an urgent matter of public health, all dentists must identify the additional steps they can take to prevent the spread of COVID-19. The most effective steps to stop the pandemic in dental offices are to; vaccinate all dentists, staff, and patients; triage dental treatments for patients, separate vulnerable patients, separate COVID-19 patients, prevent cross-contamination, disinfect areas touched by patients, maintain social distancing, and change personal protective equipment between patients.

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