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10.1371/journal.pone.0264516 http://scihub22266oqcxt.onion/10.1371/journal.pone.0264516 35213651!8880857!35213651     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       PLoS+One 2022 ; 17 (2): e0264516 Nephropedia Template TP {{tp|p=35213651|t=2022. The COVID-19 wave in Belgium during the Fall of 2020 and its association with higher education |pdf=|usr=}}{{35213651}} gab.com Text The COVID-19 wave in Belgium during the Fall of 2020 and its association with higher education JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=35213651 #FOAvip 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. Twit Text FOAVip The COVID-19 wave in Belgium during the Fall of 2020 and its association with higher education ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=35213651 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=35213651 #FOAvip English Wikipedia <ref>{{Cite pmid|35213651}}</ref> 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]The COVID-19 wave in Belgium during the Fall of 2020 and its associati(epmc).pdf DeepDyve Pubget Overpricing