Decision-based interactive model to determine re-opening conditions of a large university campus in Belgium during the first COVID-19 wave
Abstract Background The role played by large-scale repetitive SARS-CoV-2 screening programs within university populations interacting continuously with an urban environment, is unknown. Our objective was to develop a model capable of predicting the dispersion of viral contamination among university populations dividing their time between social and academic environments. Methods Data was collected through real, large-scale testing developed at the University of Liège, Belgium, during the period Sept. 28th-Oct. 29th 2020. The screening, offered to students and staff (n = 30,000), began 2 weeks... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2022 |
Reihe/Periodikum: | Archives of Public Health, Vol 80, Iss 1, Pp 1-13 (2022) |
Verlag/Hrsg.: |
BMC
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Schlagwörter: | Screening / COVID / Pandemic / Model / University / Student / Public aspects of medicine / RA1-1270 |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26612546 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://doi.org/10.1186/s13690-022-00801-w |