TY - JOUR
T1 - COVID-19 Exposure Assessment Tool (CEAT)
T2 - Exposure quantification based on ventilation, infection prevalence, group characteristics, and behavior
AU - Schimmoller, Brian J.
AU - Trovão, Nídia S.
AU - Isbell, Molly
AU - Goel, Chirag
AU - Heck, Benjamin F.
AU - Archer, Tenley C.
AU - Cardinal, Klint D.
AU - Naik, Neil B.
AU - Dutta, Som
AU - Daniel, Ahleah Rohr
AU - Beheshti, Afshin
N1 - Publisher Copyright:
Copyright © 2022 The Authors,
PY - 2022/9
Y1 - 2022/9
N2 - The coronavirus disease 2019 (COVID-19) Exposure Assessment Tool (CEAT) allows users to compare respiratory relative risk to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) for various scenarios, providing understanding of how combinations of protective measures affect risk. CEAT incorporates mechanistic, stochastic, and epidemiological factors including the (i) emission rate of virus, (ii) viral aerosol degradation and removal, (iii) duration of activity/exposure, (iv) inhalation rates, (v) ventilation rates (indoors/outdoors), (vi) volume of indoor space, (vii) filtration, (viii) mask use and effectiveness, (ix) distance between people (taking into account both near-field and far-field effects of proximity), (x) group size, (xi) current infection rates by variant, (xii) prevalence of infection and immunity in the community, (xiii) vaccination rates, and (xiv) implementation of COVID-19 testing procedures. CEAT applied to published studies of COVID-19 transmission events demonstrates the model’s accuracy. We also show how health and safety professionals at NASA Ames Research Center used CEAT to manage potential risks posed by SARS-CoV-2 exposures.
AB - The coronavirus disease 2019 (COVID-19) Exposure Assessment Tool (CEAT) allows users to compare respiratory relative risk to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) for various scenarios, providing understanding of how combinations of protective measures affect risk. CEAT incorporates mechanistic, stochastic, and epidemiological factors including the (i) emission rate of virus, (ii) viral aerosol degradation and removal, (iii) duration of activity/exposure, (iv) inhalation rates, (v) ventilation rates (indoors/outdoors), (vi) volume of indoor space, (vii) filtration, (viii) mask use and effectiveness, (ix) distance between people (taking into account both near-field and far-field effects of proximity), (x) group size, (xi) current infection rates by variant, (xii) prevalence of infection and immunity in the community, (xiii) vaccination rates, and (xiv) implementation of COVID-19 testing procedures. CEAT applied to published studies of COVID-19 transmission events demonstrates the model’s accuracy. We also show how health and safety professionals at NASA Ames Research Center used CEAT to manage potential risks posed by SARS-CoV-2 exposures.
UR - http://www.scopus.com/inward/record.url?scp=85139535591&partnerID=8YFLogxK
U2 - 10.1126/sciadv.abq0593
DO - 10.1126/sciadv.abq0593
M3 - Article
C2 - 36179034
AN - SCOPUS:85139535591
SN - 2375-2548
VL - 8
JO - Science advances
JF - Science advances
IS - 39
M1 - eabq0593
ER -