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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Denoël, Vincent Bruyère, Olivier Louppe, Gilles Bureau, Fabrice D’orio, Vincent Fontaine, Sébastien Gillet, Laurent Guillaume, Michèle Haubruge, Éric Lange, Anne-Catherine Michel, Fabienne Hulle, Romain Van Arnst, Maarten Donneau, Anne-Françoise Saegerman, Claude |
| 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 after the re-opening of the campus but had to be halted after 5 weeks due to an imposed general lockdown. The data was then used to feed a two-population model (University + surrounding environment) implementing a generalized susceptible-exposed-infected-removed compartmental modeling framework. Results The considered two-population model was sufficiently versatile to capture the known dynamics of the pandemic. The reproduction number was estimated to be significantly larger on campus than in the urban population, with a net difference of 0.5 in the most severe conditions. The low adhesion rate for screening (22.6% on average) and the large reproduction number meant the pandemic could not be contained. However, the weekly screening could have prevented 1393 cases (i.e. 4.6% of the university population; 95% CI: 4.4–4.8%) compared to a modeled situation without testing. Conclusion In a real life setting in a University campus, periodic screening could contribute to limiting the SARS-CoV-2 pandemic cycle but is highly dependent on its environment. |
| Related Links | https://archpublichealth.biomedcentral.com/counter/pdf/10.1186/s13690-022-00801-w.pdf |
| Ending Page | 13 |
| Page Count | 13 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 20493258 |
| DOI | 10.1186/s13690-022-00801-w |
| Journal | Archives of Public Health |
| Issue Number | 1 |
| Volume Number | 80 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2022-03-04 |
| Access Restriction | Open |
| Subject Keyword | Public Health Medicine Health Policy Health Services Research Health Informatics Screening COVID Pandemic Model University Student Medicine/Public Health |
| Content Type | Text |
| Resource Type | Article |
| Subject | Public Health, Environmental and Occupational Health |
| Journal Impact Factor | 3.2/2023 |
| 5-Year Journal Impact Factor | 3.3/2023 |
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