Risk quantification for SARS-CoV-2 infection through airborne transmission in university settings.
The COVID-19 pandemic has significantly impacted learning as many institutions switched to remote or hybrid instruction. An in-depth assessment of the risk of infection that considers environmental setting and mitigation strategies is needed to make safe and informed decisions regarding reopening un...
| Publicado en: | Journal of Occupational & Environmental Hygiene Vol. 18; no. 12; pp. 590 - 604 |
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| Autores principales: | , , , , , , , , , , |
| Formato: | CEU equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Dec 2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=154691235&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 154691235 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15459624 V1L jtl: Journal of Occupational & Environmental Hygiene issn: 15459624 maglogo: Y pubinfo: dt: Dec 2021 vid: 18 iid: 12 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 154691235 152656268 154691235 154691235 10.1080/15459624.2021.1985725 154691235 ppf: 590 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Risk quantification for SARS-CoV-2 infection through airborne transmission in university settings. aug: au: Ambatipudi, Mythri Carrillo Gonzalez, Paola Tasnim, Kazi Daigle, Jordan T. Kulyk, Taisa Jeffreys, Nicholas Sule, Nishant Trevino, Rafael He, Emily M. Mooney, David J. Koh, Esther affil: Harvard College, Harvard University, Cambridge, Massachusetts sug: subj: COVID-19 Transmission Colleges and Universities Disease Transmission Risk Factors Risk Assessment Methods Prediction Models Evaluation Aerosols Education, Continuing (Credit) Human Air Microbiology Learning Environment Inhalation Exposure Air Pollution, Indoor Ventilation Time Factors Probability Colony Count, Microbial Social Distancing World Wide Web Software Design Contact Tracing ab: The COVID-19 pandemic has significantly impacted learning as many institutions switched to remote or hybrid instruction. An in-depth assessment of the risk of infection that considers environmental setting and mitigation strategies is needed to make safe and informed decisions regarding reopening university spaces. A quantitative model of infection probability that accounts for space-specific parameters is presented to enable assessment of the risk in reopening university spaces at given densities. The model uses the fraction of the campus population that are viral shedders, room capacity, face covering filtration efficiency, air exchange rate, room volume, and time spent in the space as parameters to calculate infection probabilities in teaching spaces, dining halls, dorms, and shared bathrooms. The model readily calculates infection probabilities in various university spaces, with face covering filtration efficiency and air exchange rate being among the dominant variables. When applied to university spaces, this model demonstrated that, under specific conditions that are feasible to implement, in-person classes could be held in large lecture halls with an infection risk over the semester <1%. Meal pick-ups from dining halls and usage of shared bathrooms in residential dormitories among small groups of students could also be accomplished with low risk. The results of applying this model to spaces at Harvard University (Cambridge and Allston campuses) and Stanford University are reported. Finally, a user-friendly web application was developed using this model to calculate infection probability following input of space-specific variables. The successful development of a quantitative model and its implementation through a web application may facilitate accurate assessments of infection risk in university spaces. However, since this model is thus far unvalidated, validation using infection rate and contact tracing data from university campuses will be crucial as such data becomes available at larger scales. In light of the impact of the COVID-19 pandemic on universities, this tool could provide crucial insight to students, faculty, and university officials in making informed decisions. pubtype: Academic Journal doctype: CEU equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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