ArticleTransportation research interdisciplinary perspectives2020
COVID-19 indoor exposure levels: An analysis of foot traffic scenarios within an academic building.
Article in Transportation research interdisciplinary perspectives, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- The multi-dimensional challenges of controlling respiratory virus transmission in indoor spaces: Insights from the linkage of a microscopic pedestrian simulation and SARS-CoV-2 transmission model.PLoS computational biology · 2024Article
- Forecasting the transmission trends of respiratory infectious diseases with an exposure-risk-based model at the microscopic level.Environmental research · 2022Article
- Crowd dynamics research in the era of Covid-19 pandemic: Challenges and opportunities.Safety science · 2022Article
- How distant? An experimental analysis of students' COVID-19 exposure and physical distancing in university buildings.International journal of disaster risk reduction : IJDRR · 2022Article
- Identification of measures to contain the outbreaks on passenger ships using pedestrian simulations.Procedia computer science · 2022Article
- Model-based assessment of the risks of viral transmission in non-confined crowds.Safety science · 2021Article
- COVID-19 virus released from larynx might cause a higher exposure dose in indoor environment.Environmental research · 2021Article
- Human mobility behavior in COVID-19: A systematic literature review and bibliometric analysis.Sustainable cities and society · 2021Article
- Impacts of COVID-19 on transportation: Summary and synthesis of interdisciplinary research.Transportation research interdisciplinary perspectives · 2021Article
- COVID-19 preventive practices during intrapartum care- adherence and barriers in Ethiopia; a multicenter cross- sectional study.PloS one · 2021Observational
- A probabilistic model to evaluate the effectiveness of main solutions to COVID-19 spreading in university buildings according to proximity and time-based consolidated criteria.Building simulation · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Minimizing all aspects of COVID-19 exposure is a high priority as universities prepare to reopen. One of those aspects includes developing protocols for interior spaces such as academic buildings. This paper applies mathematical modeling to investigate different virus exposure levels due to traffic patterns within academic buildings. The assumption used are: 1) Risk of infection is a product of exposure rate and time and 2) the exposure rate decreases with distance. One-way vs. two-way pedestrian traffic scenarios within hallways were modeled and analyzed for various configurations. The underlying assumption that a small exposure to a large number of people is similar to a large exposure to a few people is the driver to minimize exposures levels in all aspects. The analysis indicates that minimizing the time spent in passing between classes is the driving factor in minimizing risk, and one-way traffic may increase the time required to pass between classes. While the case presented is limited, the modeled approaches are intended to provoke future research that can be extended and applied to larger populations to help provide decision makers with more rigorous tools to shape future policies regarding traffic flow within buildings.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.