Effect of Returning University Students on COVID-19 Infections in England, 2020.
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ABSTRACT:
SUBMITTER: Leeman D
PROVIDER: S-EPMC9239898 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Drawing on risk methods from volcano crises, we developed a rapid COVID-19 infection model for the partial return of pupils to primary schools in England in June and July 2020, and a full return in September 2020. The model handles uncertainties in key parameters, using a stochastic re-sampling technique, allowing us to evaluate infection levels as a function of COVID-19 prevalence and projected pupil and staff headcounts. Assuming average national adult prevalence, for the first scenario (as at 1 June 2020) we found that between 178 and 924 [90% CI] schools would have at least one infected individual, out of 16 769 primary schools in total. For the second return (July), our estimate ranged between 336 (2%) and 1873 (11%) infected schools. For a full return in September 2020, our projected range was 661 (4%) to 3310 (20%) infected schools, assuming the same prevalence as for 5 June. If national prevalence fell to one-quarter of that, the projected September range would decrease to between 381 (2%) and 900 (5%) schools but would increase to between 2131 (13%) and 9743 (58%) schools if prevalence increased to 4× June level. When regional variations in prevalence and school size distribution were included in the model, a slight decrease in the projected number of infected schools was indicated, but uncertainty on estimates increased markedly. The latter model variant indicated that 82% of infected schools would be in areas where prevalence exceeded the national average and the probability of multiple infected persons in a school would be higher in such areas. Post hoc, our model projections for 1 September 2020 were seen to have been realistic and reasonable (in terms of related uncertainties) when data on schools' infections were released by official agencies following the start of the 2020/2021 academic year.
| S-EPMC8441136 | biostudies-literature
Project description:BackgroundLittle is known about the views of adolescents returning to secondary school during the current COVID-19 pandemic.MethodsIn September 2020, the UK Health Security Agency (UKHSA), formerly known as Public Health England (PHE),recruited staff and students in secondary schools to provide nasal swabs, oral fluid and blood samples for SARS-CoV-2 infection and antibody testing. Students aged 11-18 years in five London schools completed a short questionnaire about their perception of the pandemic, returning to school, risk to themselves and to others and infection control measures, and participating in school testing.ResultsA questionnaire was completed by 64% (297/462) of participants. Students were generally not anxious at all (19.7%; 58/294) or not really anxious (40.0%; 114/295) about returning to school, although 5.4% (n = 16/295) were extremely nervous. Most students were very worried about transmitting the virus to their family (60.2%; 177/294) rather than to other students (22.0%; 65/296) or school staff (19.3%; 57/296), or catching the infection themselves (12.5%; 37/296). Students were more likely to maintain physical distancing in the presence of school staff (84.6%; 247/292) and in public places (79.5%; 233/293) but not when with other students (46.8%; 137/293) or friends (40.8%; 120/294). A greater proportion of younger students (school years 7-9; 11-14-year-olds) reported not being anxious at all than older students (school years 12-13; 16-18-year-olds) (47/174 [27.0%] vs 3/63 [4.8%]; p = 0.001). Younger students were also less likely to adhere to physical distancing measures and wear face masks. Most students reported positive experiences with SARS-CoV-2 testing in schools, with 92.3% (262/284) agreeing to have another blood test in future visits.ConclusionsYounger students in secondary schools were less concerned about catching and transmitting SARS-CoV-2 and were less likely to adhere to protective measures. Greater awareness of the potential risks of SARS-CoV-2 transmission between secondary school students potentially leading to increased risk of infection in their teachers and their household members may increase adherence to infection control measures within and outside schools.
| S-EPMC9334543 | biostudies-literature
Project description:We describe characteristics associated with having coronavirus disease (COVID-19) among students residing on a university campus. Of 2,187 students, 528 (24.1%) received a COVID-19 diagnosis during fall semester 2020. Students sharing a bedroom or suite had approximately twice the odds of contracting COVID-19 as those living alone.
| S-EPMC8544959 | biostudies-literature
Project description:BackgroundIn England, the reopening of universities in September 2020 coincided with a rapid increase in SARS-CoV-2 infection rates in university aged young adults. This study aimed to estimate SARS-CoV-2 antibody prevalence in students attending universities that had experienced a COVID-19 outbreak after reopening for the autumn term in September 2020.MethodsA cross-sectional serosurvey was conducted during 02-11 December 2020 in students aged ≤ 25 years across five universities in England. Blood samples for SARS-CoV-2 antibody testing were obtained using a self-sampling kit and analysed using the Abbott SARS-CoV-2 N antibody and/or an in-house receptor binding domain (RBD) assay.FindingsSARS-CoV-2 seroprevalence in 2,905 university students was 17.8% (95%CI, 16.5-19.3), ranging between 7.6%-29.7% across the five universities. Seropositivity was associated with being younger likely to represent first year undergraduates (aOR 3.2, 95% CI 2.0-4.9), living in halls of residence (aOR 2.1, 95% CI 1.7-2.7) and sharing a kitchen with an increasing number of students (shared with 4-7 individuals, aOR 1.43, 95%CI 1.12-1.82; shared with 8 or more individuals, aOR 1.53, 95% CI 1.04-2.24). Seropositivity was 49% in students living in halls of residence that reported high SARS-CoV-2 infection rates (>8%) during the autumn term.InterpretationDespite large numbers of cases and outbreaks in universities, less than one in five students (17.8%) overall had SARS-CoV-2 antibodies at the end of the autumn term in England. In university halls of residence affected by a COVID-19 outbreak, however, nearly half the resident students became infected and developed SARS-CoV-2 antibodies.
| S-EPMC8081745 | biostudies-literature
Project description:We profiled 116,314 cells using snRNA-seq of 20 frozen lungs obtained from 19 COVID-19 decedents and seven control patients with short postmortem interval (PMI) autopsies. The COVID-19 cohort comprises seven female and 12 male decedents, including 13 patients of Hispanic ethnicity, with an age range from 58 to >89 years who had acquired SARS-CoV-2 infection and succumbed to the disease. The average time from symptom onset to death was 27.5 days (range, 4–63 days). After rapid autopsy with a median PMI of 4 hours (range 2–9 hours) collected tissues were either flash-frozen or frozen following OCT (optimal cutting temperature) embedment and subjected to snRNA-seq using a droplet-based platform (10x Genomics). All included patients had underlying hypertensive disorder and frequently one or more additional co-morbidities associated with increased risk for severe COVID-19.
2021-04-29 | GSE171524 | GEO
Project description:Background SARS-CoV-2 is known to transmit in hospital settings, but the contribution of infections acquired in hospitals to the epidemic at a national scale is unknown. Methods We used comprehensive national English datasets to determine the number of COVID-19 patients with identified hospital-acquired infections (with symptom onset >7 days after admission and before discharge) in acute English hospitals up to August 2020. As patients may leave the hospital prior to detection of infection or have rapid symptom onset, we combined measures of the length of stay and the incubation period distribution to estimate how many hospital-acquired infections may have been missed. We used simulations to estimate the total number (identified and unidentified) of symptomatic hospital-acquired infections, as well as infections due to onward community transmission from missed hospital-acquired infections, to 31 st July 2020. Results In our dataset of hospitalised COVID-19 patients in acute English hospitals with a recorded symptom onset date (n = 65,028), 7% were classified as hospital-acquired. We estimated that only 30% (range across weeks and 200 simulations: 20-41%) of symptomatic hospital-acquired infections would be identified, with up to 15% (mean, 95% range over 200 simulations: 14.1%-15.8%) of cases currently classified as community-acquired COVID-19 potentially linked to hospital transmission. We estimated that 26,600 (25,900 to 27,700) individuals acquired a symptomatic SARS-CoV-2 infection in an acute Trust in England before 31st July 2020, resulting in 15,900 (15,200-16,400) or 20.1% (19.2%-20.7%) of all identified hospitalised COVID-19 cases. Conclusions Transmission of SARS-CoV-2 to hospitalised patients likely caused approximately a fifth of identified cases of hospitalised COVID-19 in the "first wave" in England, but less than 1% of all infections in England. Using time to symptom onset from admission for inpatients as a detection method likely misses a substantial proportion (>60%) of hospital-acquired infections.
| S-EPMC8902876 | biostudies-literature
Project description: Not available
| S-EPMC7786243 | biostudies-literature
Project description:University students have unique living, learning and social arrangements which may have implications for infectious disease transmission. To address this data gap, we created CONQUEST (COroNavirus QUESTionnaire), a longitudinal online survey of contacts, behaviour, and COVID-19 symptoms for University of Bristol (UoB) staff/students. Here, we analyse results from 740 students providing 1261 unique records from the start of the 2020/2021 academic year (14/09/2020-01/11/2020), where COVID-19 outbreaks led to the self-isolation of all students in some halls of residences. Although most students reported lower daily contacts than in pre-COVID-19 studies, there was heterogeneity, with some reporting many (median = 2, mean = 6.1, standard deviation = 15.0; 8% had ≥ 20 contacts). Around 40% of students' contacts were with individuals external to the university, indicating potential for transmission to non-students/staff. Only 61% of those reporting cardinal symptoms in the past week self-isolated, although 99% with a positive COVID-19 test during the 2 weeks before survey completion had self-isolated within the last week. Some students who self-isolated had many contacts (mean = 4.3, standard deviation = 10.6). Our results provide context to the COVID-19 outbreaks seen in universities and are available for modelling future outbreaks and informing policy.
| S-EPMC8175593 | biostudies-literature
Project description:BackgroundEvidence about the impact of the COVID-19 pandemic on the mental health of specific subpopulations, such as university students, is needed as communities prepare for future waves.AimsTo study the association of proximity of COVID-19 with symptoms of anxiety and depression in university students.MethodThis trend study analysed weekly cross-sectional surveys of probabilistic samples of students from the University of British Columbia for 13 weeks, through the first wave of COVID-19. The main variable assessed was propinquity of COVID-19, defined as 'knowing someone who tested positive for COVID-19', which was specified at different levels: knowing someone anywhere globally, in Canada, in Vancouver, in their course or at home. Proximity was included in multivariable linear regressions to assess its association with primary outcomes, including 30-day symptoms of anxiety and/or depression.ResultsOf 1388 respondents (adjusted response rate of 50%), 5.6% knew someone with COVID-19 in Vancouver, 0.8% in their course and 0.3% at home. Ten percent were overwhelmed and unable to access help. Knowing someone in Vancouver was associated with an 11-percentage-point increase in the probability of 30-day anxiety symptoms (s.e. 0.05, P ≤ 0.05), moderated by gender, with a significant interaction of the exposure and being female (coefficient -20, s.e. 0.09, P ≤ 0.05). No association was found with depressive symptoms.ConclusionsPropinquity of COVID-19 cases may increase the likelihood of anxiety symptoms in students, particularly among men. Most students reported coping well, but additional support is needed for an emotionally overwhelmed minority who report being unable to access help.
| S-EPMC8058823 | biostudies-literature
Project description:The COVID-19 pandemic required people to navigate lockdowns and unfamiliar restrictions for the first time. It is known that situations characterised by uncontrollability and novelty heighten the physiological response to stress. The data presented here was collected as part of an experimental stress study and offered an opportunity to compare cortisol levels upon arrival to the lab before and after the first UK lockdown, when students had to navigate novel health and safety restrictions on campus. Participants (n = 152) were students who took part in an experiment designed to measure salivary cortisol levels as a response to a stress task. All provided a baseline cortisol sample after arriving to the lab but before the experimental task. Pre-lockdown participants (n = 72) were familiar with the campus rules whereas post-lockdown participants (n = 80) had to adhere to novel restrictions, including health questionnaires, PPE and social distancing. The post-lockdown sample had significantly higher levels of baseline cortisol, cortisol output (AUCg) and cortisol response (AUCi) than the pre-lockdown group. This effect remained significant even after controlling for sample characteristics. These findings suggest that navigating new restrictions may lead to heightened levels of anticipatory stress even if there is no difference in recent general mental health before and after the lockdown.
| S-EPMC9487176 | biostudies-literature