scholarly journals Schools are not islands: Balancing COVID-19 risk and educational benefits using structural and temporal countermeasures

Author(s):  
Jamie A. Cohen ◽  
Dina Mistry ◽  
Cliff C. Kerr ◽  
Daniel J. Klein

Background: School closures around the world contributed to reducing the transmission of COVID-19. In the face of significant uncertainty around the epidemic impact of in-person schooling, policymakers, parents, and teachers are weighing the risks and benefits of returning to in-person education. In this context, we examined the impact of different school reopening scenarios on transmission within and outside of schools and on the share of school days that would need to be spent learning at a distance. Methods: We used an agent-based mathematical model of COVID-19 transmission and interventions to quantify the impact of school reopening on disease transmission and the extent to which school-based interventions could mitigate epidemic spread within and outside schools. We compared seven school reopening strategies that vary the degree of countermeasures within schools to mitigate COVID-19 transmission, including the use of face masks, physical distancing, classroom cohorting, screening, testing, and contact tracing, as well as schedule changes to reduce the number of students in school. We considered three scenarios for the size of the epidemic in the two weeks prior to school reopening: 20, 50, or 110 detected cases per 100,000 individuals and assumed the epidemic was slowly declining with full school closures. For each scenario, we calculated the percentage of schools that would have at least one person arriving at school with an active COVID-19 infection on the first day of school; the percentage of in-person school days that would be lost due to scheduled distance learning, symptomatic screening or quarantine; the cumulative infection rate for students, staff and teachers over the first three months of school; and the effective reproduction number averaged over the first three months of school within the community. Findings: In-person schooling poses significant risks to students, teachers, and staff. On the first day of school, 5-42% of schools would have at least one person arrive at school with active COVID-19, depending on the incidence of COVID in the community and the school type. However, reducing class sizes via A/B school scheduling, combined with an incremental approach that returns elementary schools in person and keeps all other students remote, can mitigate COVID transmission. In the absence of any countermeasures in schools, we expect 6-25% of teaching and non-teaching staff and 4-20% of students to be infected with COVID in the first three months of school, depending upon the case detection rate. Schools can lower this risk to as low as 0.2% for staff and 0.1% for students by returning elementary schools with a hybrid schedule while all other grades continue learning remotely. However, this approach would require 60-85% of all school days to be spent at home. Despite the significant risks to the school population, reopening schools would not significantly increase community-wide transmission, provided sufficient countermeasures are implemented in schools. Interpretation: Without extensive countermeasures, school reopening may lead to an increase in infections and a significant number of re-closures as cases are identified among staff and students. Returning elementary schools only with A/B scheduling is the lowest risk school reopening strategy that includes some in-person learning.

2021 ◽  
Author(s):  
Marcelo Eduardo Borges ◽  
Leonardo Souto Ferreira ◽  
Silas Poloni ◽  
Ângela Maria Bagattini ◽  
Caroline Franco ◽  
...  

Among the various non–pharmaceutical interventions implemented in response to the Covid–19 pandemic during 2020, school closures have been in place in several countries to reduce infection transmission. Nonetheless, the significant short and long–term impacts of prolonged suspension of in–person classes is a major concern. There is still considerable debate around the best timing for school closure and reopening, its impact on the dynamics of disease transmission, and its effectiveness when considered in association with other mitigation measures. Despite the erratic implementation of mitigation measures in Brazil, school closures were among the first measures taken early in the pandemic in most of the 27 states in the country. Further, Brazil delayed the reopening of schools and stands among the countries in which schools remained closed for the most prolonged period in 2020. To assess the impact of school reopening and the effect of contact tracing strategies in rates of Covid–19 cases and deaths, we model the epidemiological dynamics of disease transmission in 3 large urban centers in Brazil under different epidemiological contexts. We implement an extended SEIR model stratified by age and considering contact networks in different settings – school, home, work, and elsewhere, in which the infection transmission rate is affected by various intervention measures. After fitting epidemiological and demographic data, we simulate scenarios with increasing school transmission due to school reopening. Our model shows that reopening schools results in a non–linear increase of reported Covid-19 cases and deaths, which is highly dependent on infection and disease incidence at the time of reopening. While low rates of within[&ndash]school transmission resulted in small effects on disease incidence (cases/100,000 pop), intermediate or high rates can severely impact disease trends resulting in escalating rates of new cases even if other interventions remain unchanged. When contact tracing and quarantining are restricted to school and home settings, a large number of daily tests is required to produce significant effects of reducing the total number of hospitalizations and deaths. Our results suggest that policymakers should carefully consider the epidemiological context and timing regarding the implementation of school closure and return of in-person school activities. Also, although contact tracing strategies are essential to prevent new infections and outbreaks within school environments, our data suggest that they are alone not sufficient to avoid significant impacts on community transmission in the context of school reopening in settings with high and sustained transmission rates.


2021 ◽  
pp. 174077452098486
Author(s):  
Charles Weijer ◽  
Karla Hemming ◽  
Spencer Phillips Hey ◽  
Holly Fernandez Lynch

The COVID-19 pandemic has highlighted the challenges of evidence-based health policymaking, as critical precautionary decisions, such as school closures, had to be made urgently on the basis of little evidence. As primary and secondary schools once again close in the face of surging infections, there is an opportunity to rigorously study their reopening. School-aged children appear to be less affected by COVID-19 than adults, yet schools may drive community transmission of the virus. Given the impact of school closures on both education and the economy, schools cannot remain closed indefinitely. But when and how can they be reopened safely? We argue that a cluster randomized trial is a rigorous and ethical way to resolve these uncertainties. We discuss key scientific, ethical, and resource considerations both to inform trial design of school reopenings and to prompt discussion of the merits and feasibility of conducting such a trial.


2020 ◽  
Author(s):  
Rebecca Waller ◽  
Maia Chester ◽  
Yuheiry Rodriguez ◽  
Nicholas J. Wagner

AbstractParenting is critical to creating and maintaining healthy child development. Importantly, there are multiple determinants of effective parenting, including the psychological resources of the parent, contextual sources of stress and support, and characteristics of the child. The COVID-19 pandemic has resulted in colossal disruptions to family life, and has fundamentally altered the landscape of parenting. In the face of escalating infection and mortality rates, rising unemployment, financial insecurity, school closures, and shelter-in-place orders, parents have had to create new environments in which their children can flourish while, in many cases, continuing to juggle ongoing work, health, and emotional stressors of their own. Several recent reviews have offered a variety of recommendations for parents to promote child well-being during the COVID-19 outbreak. However, no measures have been developed to assess how parents have adapted their parenting behaviors in response to the pandemic. To better understand the lasting impact of the pandemic on children’s socioemotional health and well-being, we urgently need to characterize the impact of the pandemic on parenting practices. Accordingly, the current study developed the 24-item Parenting In a Pandemic Scale (PIPS) to assess behaviors enacted by parents to mitigate infection risk, manage children’s social and emotional needs, structure children’s activities, help with schoolwork or education, and promote physical activity. The scale is available in English and Spanish and is freely accessible for research, educational, or scientific purposes. We anticipate the PIPS being employed in studies alongside other, validated measures of parenting practices, parenting stress, or parental burnout, as well as in relation to measures of child mental health and resilience in the face of the pandemic.


2021 ◽  
Vol 6 (6) ◽  
pp. e004885
Author(s):  
Muhammed Semakula ◽  
FranÇois Niragire ◽  
Angela Umutoni ◽  
Sabin Nsanzimana ◽  
Vedaste Ndahindwa ◽  
...  

IntroductionCOVID-19 has shown an exceptionally high spread rate across and within countries worldwide. Understanding the dynamics of such an infectious disease transmission is critical for devising strategies to control its spread. In particular, Rwanda was one of the African countries that started COVID-19 preparedness early in January 2020, and a total lockdown was imposed when the country had only 18 COVID-19 confirmed cases known. Using intensive contact tracing, several infections were identified, with the majority of them being returning travellers and their close contacts. We used the contact tracing data in Rwanda for understanding the geographic patterns of COVID-19 to inform targeted interventions.MethodsWe estimated the attack rates and identified risk factors associated to COVID-19 spread. We used Bayesian disease mapping models to assess the spatial pattern of COVID-19 and to identify areas characterised by unusually high or low relative risk. In addition, we used multiple variable conditional logistic regression to assess the impact of the risk factors.ResultsThe results showed that COVID-19 cases in Rwanda are localised mainly in the central regions and in the southwest of Rwanda and that some clusters occurred in the northeast of Rwanda. Relationship to the index case, being male and coworkers are the important risk factors for COVID-19 transmission in Rwanda.ConclusionThe analysis of contact tracing data using spatial modelling allowed us to identify high-risk areas at subnational level in Rwanda. Estimating risk factors for infection with SARS-CoV-2 is vital in identifying the clusters in low spread of SARS-CoV-2 subnational level. It is imperative to understand the interactions between the index case and contacts to identify superspreaders, risk factors and high-risk places. The findings recommend that self-isolation at home in Rwanda should be reviewed to limit secondary cases from the same households and spatiotemporal analysis should be introduced in routine monitoring of COVID-19 in Rwanda for policy making decision on real time.


2021 ◽  
Author(s):  
Mark Anthony Glynn ◽  
Ann Marie Farrell ◽  
Karen Buckley ◽  
Rob Lowney ◽  
Sean Smyth ◽  
...  

In early 2020, the transition of large classes from the face-to-face to the online context occurred overnight and at scale at a time when the crisis was being faced at all levels of society, nationally and internationally. This paper is based on research which examined the impact of this sudden transition on large classes in Dublin City University with a view to illuminating the experience to inform future practice (Authors., in press). A rapid, systemised review of literature was carried out with the aim of contextualising data gathered through surveys with staff and students in relation to our experience of moving large classes online in the early stages of the Covid-19 pandemic. While the study examined the impact from the perspectives of teaching staff and students, this paper reports on the perspectives of teaching staff only. Large class teachers found this experience challenging, reporting a sense of isolation and worry. However  it would seem that opportunity was seen in the face of adversity, whereby staff have identified potential for better ways of doing things going forward as a result of their experiences between March and May 2020


Author(s):  
Qifang Bi ◽  
Yongsheng Wu ◽  
Shujiang Mei ◽  
Chenfei Ye ◽  
Xuan Zou ◽  
...  

AbstractBackgroundRapid spread of SARS-CoV-2 in Wuhan prompted heightened surveillance in Shenzhen and elsewhere in China. The resulting data provide a rare opportunity to measure key metrics of disease course, transmission, and the impact of control.MethodsThe Shenzhen CDC identified 391 SARS-CoV-2 cases from January 14 to February 12, 2020 and 1286 close contacts. We compare cases identified through symptomatic surveillance and contact tracing, and estimate the time from symptom onset to confirmation, isolation, and hospitalization. We estimate metrics of disease transmission and analyze factors influencing transmission risk.FindingsCases were older than the general population (mean age 45) and balanced between males (187) and females (204). Ninety-one percent had mild or moderate clinical severity at initial assessment. Three have died, 225 have recovered (median time to recovery is 21 days). Cases were isolated on average 4.6 days after developing symptoms; contact tracing reduced this by 1.9 days. Household contacts and those travelling with a case where at higher risk of infection (ORs 6 and 7) than other close contacts. The household secondary attack rate was 15%, and children were as likely to be infected as adults. The observed reproductive number was 0.4, with a mean serial interval of 6.3 days.InterpretationOur data on cases as well as their infected and uninfected close contacts provide key insights into SARS-CoV-2 epidemiology. This work shows that heightened surveillance and isolation, particularly contact tracing, reduces the time cases are infectious in the community, thereby reducing R. Its overall impact, however, is uncertain and highly dependent on the number of asymptomatic cases. We further show that children are at similar risk of infection as the general population, though less likely to have severe symptoms; hence should be considered in analyses of transmission and control.


2021 ◽  
Vol 18 (177) ◽  
Author(s):  
Jennifer R. Head ◽  
Kristin L. Andrejko ◽  
Qu Cheng ◽  
Philip A. Collender ◽  
Sophie Phillips ◽  
...  

School closures may reduce the size of social networks among children, potentially limiting infectious disease transmission. To estimate the impact of K–12 closures and reopening policies on children's social interactions and COVID-19 incidence in California's Bay Area, we collected data on children's social contacts and assessed implications for transmission using an individual-based model. Elementary and Hispanic children had more contacts during closures than high school and non-Hispanic children, respectively. We estimated that spring 2020 closures of elementary schools averted 2167 cases in the Bay Area (95% CI: −985, 5572), fewer than middle (5884; 95% CI: 1478, 11.550), high school (8650; 95% CI: 3054, 15 940) and workplace (15 813; 95% CI: 9963, 22 617) closures. Under assumptions of moderate community transmission, we estimated that reopening for a four-month semester without any precautions will increase symptomatic illness among high school teachers (an additional 40.7% expected to experience symptomatic infection, 95% CI: 1.9, 61.1), middle school teachers (37.2%, 95% CI: 4.6, 58.1) and elementary school teachers (4.1%, 95% CI: −1.7, 12.0). However, we found that reopening policies for elementary schools that combine universal masking with classroom cohorts could result in few within-school transmissions, while high schools may require masking plus a staggered hybrid schedule. Stronger community interventions (e.g. remote work, social distancing) decreased the risk of within-school transmission across all measures studied, with the influence of community transmission minimized as the effectiveness of the within-school measures increased.


2020 ◽  
Author(s):  
Kalwant Bhopal ◽  
Martin Myers

The global outbreak of the COVID-19 virus created new and challenging circumstances for schools, colleges and universities. In England the closure of schools and cancellation of examinations led to concerns about how pupils would be awarded A Level exam grades. These exam results have a significant impact on outcomes for pupils leaving school including access to the employment market, apprenticeships and university places. This report represents an early analysis of research exploring the impact school closures and cancellation of examinations had on students. The main aims of the study were to examine the impact (mental and academic) of predicted grades being used to award A Level grades; to explore support systems in place for students; and, to analyse differences by race, class, gender and school type. Some of the broader themes that emerged from the research included students concerns about the fairness of their A Level results; and, many students identifying structural inequalities within education being mirrored in the new processes for awarding grades.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Miklos Szocska ◽  
Peter Pollner ◽  
Istvan Schiszler ◽  
Tamas Joo ◽  
Tamas Palicz ◽  
...  

AbstractMobile phones have been used to monitor mobility changes during the COVID-19 pandemic but surprisingly few studies addressed in detail the implementation of practical applications involving whole populations. We report a method of generating a “mobility-index” and a “stay-at-home/resting-index” based on aggregated anonymous Call Detail Records of almost all subscribers in Hungary, which tracks all phones, examining their strengths and weaknesses, comparing it with Community Mobility Reports from Google, limited to smartphone data. The impact of policy changes, such as school closures, could be identified with sufficient granularity to capture a rush to shops prior to imposition of restrictions. Anecdotal reports of large scale movement of Hungarians to holiday homes were confirmed. At the national level, our results correlated well with Google mobility data, but there were some differences at weekends and national holidays, which can be explained by methodological differences. Mobile phones offer a means to analyse population movement but there are several technical and privacy issues. Overcoming these, our method is a practical and inexpensive way forward, achieving high levels of accuracy and resolution, especially where uptake of smartphones is modest, although it is not an alternative to smartphone-based solutions used for contact tracing and quarantine monitoring.


Author(s):  
Muhammad Fendrik ◽  
Elvina Elvina

This study aims to examine the influence of visual thinking learning to problemsolving skill. Quasi experiments with the design of this non-equivalent controlgroup involved Grade V students in one of the Elementary Schools. The design ofthis study was quasi experimental nonequivalent control group, the researchbullet used the existing class. The results of research are: 1) improvement ofproblem soving skill. The learning did not differ significantly between studentswho received conventional learning. 2) there is no interaction between learning(visual thinking and traditional) with students' mathematical skill (upper, middleand lower) on the improvement of skill. 3) there is a difference in the skill oflanguage learning that is being constructed with visual learning of thought interms of student skill (top, middle and bottom).


Sign in / Sign up

Export Citation Format

Share Document