About: A Case Study Evaluating the Risk of Infection from Middle Eastern Respiratory Syndrome Coronavirus (MERS‐CoV) in a Hospital Setting Through Bioaerosols

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About: A Case Study Evaluating the Risk of Infection from Middle Eastern Respiratory Syndrome Coronavirus (MERS‐CoV) in a Hospital Setting Through Bioaerosols Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	A Case Study Evaluating the Risk of Infection from Middle Eastern Respiratory Syndrome Coronavirus (MERS‐CoV) in a Hospital Setting Through Bioaerosols
Creator	Wang, Meng Wang, Qing Mitchell, Jade Rose, Joan Weir, Mark Haas, Charles Adhikari, Umesh Boehnke, Kevin Chabrelie, Alexandre Ikner, Luisa Mckenzie, Erica Young, Kyana
Source	Medline; PMC
abstract	Middle Eastern respiratory syndrome, an emerging viral infection with a global case fatality rate of 35.5%, caused major outbreaks first in 2012 and 2015, though new cases are continuously reported around the world. Transmission is believed to mainly occur in healthcare settings through aerosolized particles. This study uses Quantitative Microbial Risk Assessment to develop a generalizable model that can assist with interpreting reported outbreak data or predict risk of infection with or without the recommended strategies. The exposure scenario includes a single index patient emitting virus‐containing aerosols into the air by coughing, leading to short‐ and long‐range airborne exposures for other patients in the same room, nurses, healthcare workers, and family visitors. Aerosol transport modeling was coupled with Monte Carlo simulation to evaluate the risk of MERS illness for the exposed population. Results from a typical scenario show the daily mean risk of infection to be the highest for the nurses and healthcare workers (8.49 × 10(−4) and 7.91 × 10(−4), respectively), and the lowest for family visitors and patients staying in the same room (3.12 × 10(−4) and 1.29 × 10(−4), respectively). Sensitivity analysis indicates that more than 90% of the uncertainty in the risk characterization is due to the viral concentration in saliva. Assessment of risk interventions showed that respiratory masks were found to have a greater effect in reducing the risks for all the groups evaluated (>90% risk reduction), while increasing the air exchange was effective for the other patients in the same room only (up to 58% risk reduction).
has issue date	2019-09-16(xsd:dateTime)
bibo:doi	10.1111/risa.13389
bibo:pmid	31524301
has license	no-cc
sha1sum (hex)	18a76b78fdb722fbd1dec71ce3365f8263e075a7
schema:url	https://doi.org/10.1111/risa.13389
resource representing a document's title	A Case Study Evaluating the Risk of Infection from Middle Eastern Respiratory Syndrome Coronavirus (MERS‐CoV) in a Hospital Setting Through Bioaerosols
has PubMed Central identifier	PMC7169172
has PubMed identifier	31524301
schema:publication	Risk Anal
resource representing a document's body	covid:18a76b78fdb722fbd1dec71ce3365f8263e075a7#body_text
is schema:about of	named entity 'RANGE' named entity 'COUPLED' named entity 'AIRBORNE' named entity 'UNCERTAINTY' named entity 'MEAN' named entity 'COUGHING' named entity '924' named entity 'RISK REDUCTION' named entity 'saliva' named entity 'coughing' named entity 'healthcare workers' named entity 'Microbial' named entity 'Aerosol' named entity 'Monte Carlo simulation' named entity 'healthcare workers' named entity 'MERS-CoV' named entity 'respirable particles' named entity 'mortality rate' named entity 'MERS outbreak' named entity 'terminal velocity' named entity 'risk mitigation measure' named entity 'MERS-CoV' named entity 'South Korea' named entity 'respirable' named entity 'China' named entity 'Middle Eastern' named entity 'cough' named entity 'infectious agent' named entity 'inhalable' named entity 'airborne disease' named entity 'ACH' named entity 'inhalation' named entity 'infection' named entity 'PFU' named entity 'inhalable' named entity 'inhalation' named entity 'index patient' named entity 'aerosol' named entity 'infection' named entity 'SARS-CoV' named entity 'SARS' named entity 'MERS' named entity 'saliva' named entity 'sputum' named entity 'sputum' named entity 'Viruses' named entity 'infection' named entity 'infection' named entity 'dose-response model' named entity 'systematic literature review' named entity 'lungs' named entity 'vaccines' named entity 'exchange rate' named entity 'saliva' named entity 'comorbidities' named entity 'morbidity rate' named entity 'index patient' named entity 'airborne route' named entity 'virulent' named entity 'Europe' named entity 'PFU' named entity 'ACH' named entity 'infection' named entity 'virus' named entity 'personal protection' named entity 'normal distribution' named entity 'human population' named entity 'Aerosols' named entity 'critical velocity' named entity 'aerosols'

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