Optimizing ventilation cycles to control airborne transmission risk of SARS-CoV2 in school classrooms
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Abstract
Open schools in winter in highly epidemic areas pose a controversial issue: ventilation of classrooms (an essential mitigation factor for airborne transmission) is expected to sensibly decrease due to outdoor temperatures getting colder and regulators going to allow less restrictive policies on windows closure. Fundamental questions to be addressed are therefore: to which extent can we contain airborne transmission risk in schools? what would be the optimal ventilation strategy during the cold season considering the fact that most schools are not provided with mechanical ventilation systems? To try answering these questions a risk model for airborne transmission of covid-19 in classrooms has been develped based on previous models for tubercolosis and influenza. The separate cases of infective student and infective teacher, as well as infective teacher with microphone are investigated. We explored 3500 different air ventilation cycles for different lesson+break times and carried out a numerical optimization of the risk function. Safety risk-zones for breaks and lessons durations were estimated combining the effect of surgical masks and optimal windows opening cycles.
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SciScore for 10.1101/2020.12.19.20248493: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
No key resources detected.
Results from OddPub: Thank you for sharing your code.
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when …
SciScore for 10.1101/2020.12.19.20248493: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
No key resources detected.
Results from OddPub: Thank you for sharing your code.
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
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