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  • The COVID-19 wave in Belgium during the Fall of 2020 and its association with higher education #MMPMID35213651
  • Natalia YA; Faes C; Neyens T; Molenberghs G
  • PLoS One 2022[]; 17 (2): e0264516 PMID35213651show ga
  • Soon after SARS-CoV-2 emerged in late 2019, Belgium was confronted with a first COVID-19 wave in March-April 2020. SARS-CoV-2 circulation declined in the summer months (late May to early July 2020). Following a successfully trumped late July-August peak, COVID-19 incidence fell slightly, to then enter two successive phases of rapid incline: in the first half of September, and then again in October 2020. The first of these coincided with the peak period of returning summer travelers; the second one coincided with the start of higher education's academic year. The largest observed COVID-19 incidence occurred in the period 16-31 October, particularly in the Walloon Region, the southern, French-speaking part of Belgium. We examine the potential association of the higher education population with spatio-temporal spread of COVID-19, using Bayesian spatial Poisson models for confirmed test cases, accounting for socio-demographic heterogeneity in the population. We find a significant association between the number of COVID-19 cases in the age groups 18-29 years and 30-39 years and the size of the higher education student population at the municipality level. These results can be useful towards COVID-19 mitigation strategies, particularly in areas where virus transmission from higher education students into the broader community could exacerbate morbidity and mortality of COVID-19 among populations with prevalent underlying conditions associated with more severe outcomes following infection.
  • |*Universities[MESH]
  • |Adolescent[MESH]
  • |Adult[MESH]
  • |Belgium[MESH]
  • |COVID-19/*epidemiology[MESH]
  • |Humans[MESH]
  • |Incidence[MESH]
  • |Pandemics[MESH]
  • |Prevalence[MESH]
  • |Students[MESH]
  • |Young Adult[MESH]

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  • suck abstract from ncbi

    e0264516 2.17 2022