scholarly journals Reactive school closure weakens the network of social interactions and reduces the spread of influenza

2019 ◽  
Vol 116 (27) ◽  
pp. 13174-13181 ◽  
Author(s):  
Maria Litvinova ◽  
Quan-Hui Liu ◽  
Evgeny S. Kulikov ◽  
Marco Ajelli
Keyword(s):  
Social Interactions ◽  
Influenza Season ◽  
School Closure ◽  
Transmission Model ◽  
Modeling Framework ◽  
School Closures ◽  
Student Absenteeism ◽  
Contact Survey ◽  
Closure Policy ◽  
The Impact

School-closure policies are considered one of the most promising nonpharmaceutical interventions for mitigating seasonal and pandemic influenza. However, their effectiveness is still debated, primarily due to the lack of empirical evidence about the behavior of the population during the implementation of the policy. Over the course of the 2015 to 2016 influenza season in Russia, we performed a diary-based contact survey to estimate the patterns of social interactions before and during the implementation of reactive school-closure strategies. We develop an innovative hybrid survey-modeling framework to estimate the time-varying network of human social interactions. By integrating this network with an infection transmission model, we reduce the uncertainty surrounding the impact of school-closure policies in mitigating the spread of influenza. When the school-closure policy is in place, we measure a significant reduction in the number of contacts made by students (14.2 vs. 6.5 contacts per day) and workers (11.2 vs. 8.7 contacts per day). This reduction is not offset by the measured increase in the number of contacts between students and nonhousehold relatives. Model simulations suggest that gradual reactive school-closure policies based on monitoring student absenteeism rates are capable of mitigating influenza spread. We estimate that without the implemented reactive strategies the attack rate of the 2015 to 2016 influenza season would have been 33% larger. Our study sheds light on the social mixing patterns of the population during the implementation of reactive school closures and provides key instruments for future cost-effectiveness analyses of school-closure policies.

The Impact of School Closures on Equity of Access in Chicago

2016 ◽  
Vol 49 (1) ◽  
pp. 53-80 ◽  
Author(s):  
Jin Lee ◽  
Christopher Lubienski
Keyword(s):  
Public Schools ◽  
Race And Ethnicity ◽  
School Closure ◽  
After School ◽  
Poverty Level ◽  
School Closures ◽  
School Closing ◽  
Before And After ◽  
Closure Policy ◽  
The Impact

This study examines the impact of school closures on the sociospatial distribution of equitable access to schooling following the school closure policy pursued by the Chicago Public Schools in 2013. By examining access in terms of proximity between students and schools, the study estimates the changes in accessibility before and after school closings. The change in accessibility is compared with density maps constructed around a number of variables, including population aged 5 through 14 by race and ethnicity, proportion of families with children younger than 18 years old below the poverty level, and crime incidence during the previous 12 months. The overall results suggest that school closing may cause sociogeographic inequality in access to education.

scholarly journals The Impact of COVID-19 School Closure on Child and Adolescent Health: A Rapid Systematic Review

Children ◽  
2021 ◽  
Vol 8 (5) ◽  
pp. 415
Author(s):  
Sonia Chaabane ◽  
Sathyanarayanan Doraiswamy ◽  
Karima Chaabna ◽  
Ravinder Mamtani ◽  
Sohaila Cheema
Keyword(s):  
Systematic Review ◽  
Children And Adolescents ◽  
Adolescent Health ◽  
Children With Disabilities ◽  
Child And Adolescent ◽  
Emergency Department Visits ◽  
School Closure ◽  
School Closures ◽  
Child And Adolescent Health ◽  
The Impact

School closures during pandemics raise important concerns for children and adolescents. Our aim is synthesizing available data on the impact of school closure during the coronavirus disease 2019 (COVID-19) pandemic on child and adolescent health globally. We conducted a rapid systematic review by searching PubMed, Embase, and Google Scholar for any study published between January and September 2020. We included a total of ten primary studies. COVID-19-related school closure was associated with a significant decline in the number of hospital admissions and pediatric emergency department visits. However, a number of children and adolescents lost access to school-based healthcare services, special services for children with disabilities, and nutrition programs. A greater risk of widening educational disparities due to lack of support and resources for remote learning were also reported among poorer families and children with disabilities. School closure also contributed to increased anxiety and loneliness in young people and child stress, sadness, frustration, indiscipline, and hyperactivity. The longer the duration of school closure and reduction of daily physical activity, the higher was the predicted increase of Body Mass Index and childhood obesity prevalence. There is a need to identify children and adolescents at higher risk of learning and mental health impairments and support them during school closures.

scholarly journals Modeling the impact of school reopening and contact tracing strategies on Covid-19 dynamics in different epidemiologic settings in Brazil

2021 ◽  
Author(s):  
Marcelo Eduardo Borges ◽  
Leonardo Souto Ferreira ◽  
Silas Poloni ◽  
Ângela Maria Bagattini ◽  
Caroline Franco ◽  
...  
Keyword(s):  
Disease Transmission ◽  
Transmission Rate ◽  
Disease Incidence ◽  
Demographic Data ◽  
School Closure ◽  
Mitigation Measures ◽  
Contact Tracing ◽  
School Closures ◽  
Infection Transmission ◽  
The Impact

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.

How did Autistic Children, and their Parents, Experience School Transition during the COVID-19 Pandemic?

2021 ◽  
Author(s):  
Aimee Code ◽  
Umar Toseeb ◽  
Kathryn Asbury ◽  
Laura Fox
Keyword(s):  
School Transition ◽  
School Closure ◽  
School Transitions ◽  
Autistic Children ◽  
Structured Interviews ◽  
School Closures ◽  
Social Distancing ◽  
New School ◽  
The Uk ◽  
The Impact

Due to the COVID-19 pandemic and resultant school closures, social distancing measures, and restrictions placed on routine activities, the start of the academic year in September 2020 was a unique time for those transitioning to a new school. This study aimed to explore the experiences of parents who supported autistic children making a school transition in 2020, and to examine what impact parents perceived the COVID-19 pandemic had on their child’s school transition. Emphasis was placed on identifying facilitating factors that had benefitted school transitions, and barriers, which had negatively impacted these experiences. Semi-structured interviews were carried out with 13 parents of autistic children in the UK. Reflexive thematic analysis was carried out to identify themes in interview data. Parents reported a variety of experiences, and factors that were perceived as facilitatory to some were observed to be barriers by others. For some parents, the COVID-19 pandemic negatively impacted aspects of school transitions. For example, school closure in March 2020, being unable to visit their child’s new school, and social distancing measures were discussed as being barriers to an easy transition. However, other parents identified these factors as being facilitatory for their child or reported that these circumstances created opportunities to approach the school transition in a unique, improved manner. This paper sheds light on the heterogeneity of experiences and perceptions of parents of autistic children, and highlights the need to examine the impact of COVID-19 on school transitions, including practices which may be advantageous to retain.

scholarly journals Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China

Science ◽  
2020 ◽  
Vol 368 (6498) ◽  
pp. 1481-1486 ◽  
Author(s):  
Juanjuan Zhang ◽  
Maria Litvinova ◽  
Yuxia Liang ◽  
Yan Wang ◽  
Wei Wang ◽  
...  
Keyword(s):  
Confidence Interval ◽  
Odds Ratio ◽  
School Closure ◽  
Hunan Province ◽  
Contact Tracing ◽  
Transmission Model ◽  
Social Distancing ◽  
Susceptibility To Infection ◽  
Contact Patterns ◽  
The Impact

Intense nonpharmaceutical interventions were put in place in China to stop transmission of the novel coronavirus disease 2019 (COVID-19). As transmission intensifies in other countries, the interplay between age, contact patterns, social distancing, susceptibility to infection, and COVID-19 dynamics remains unclear. To answer these questions, we analyze contact survey data for Wuhan and Shanghai before and during the outbreak and contact-tracing information from Hunan province. Daily contacts were reduced seven- to eightfold during the COVID-19 social distancing period, with most interactions restricted to the household. We find that children 0 to 14 years of age are less susceptible to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection than adults 15 to 64 years of age (odds ratio 0.34, 95% confidence interval 0.24 to 0.49), whereas individuals more than 65 years of age are more susceptible to infection (odds ratio 1.47, 95% confidence interval 1.12 to 1.92). Based on these data, we built a transmission model to study the impact of social distancing and school closure on transmission. We find that social distancing alone, as implemented in China during the outbreak, is sufficient to control COVID-19. Although proactive school closures cannot interrupt transmission on their own, they can reduce peak incidence by 40 to 60% and delay the epidemic.

scholarly journals Closed, Bused, Mixed: A Literature Review on the Impact of Rural School Closure; Effects of Busing on Rural Students; and Student Performance in Small Schools and Mixed-Age Classes

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Tatiana Zakharova
Keyword(s):  
Literature Review ◽  
Student Performance ◽  
Rural Schools ◽  
Large Scale ◽  
Small Schools ◽  
Rural School ◽  
School Closure ◽  
Rural Students ◽  
School Closures ◽  
The Impact

In 2000, Lauzon and Leahy completed a literature review on rural schools and educational reform, concluding that rural schools were indeed worth saving. In 2017, I conducted a literature review with the goal of offering an update to that article, investigating the post-2001 research on the impact of rural school closures; the effects of bussing of rural students to/from school; and student performance in small schools and mixed-grade classes. The results were mixed and contradictory, equal in their puzzling to the complexity of defining what is “rural” and what is “small school”. While some of the researchers continue to point out the unique place of local schools in rural settings, many also note the lack of large-scale studies into the impact of rural school closures, especially the impact on students – even "who pays and the price they pay, is always of interest" (bell hooks)… or is it?

scholarly journals Australian state influenza notifications and school closures in 2019

F1000Research ◽  
2019 ◽  
Vol 8 ◽  
pp. 1899
Author(s):  
Anna Mae Scott ◽  
Mina Bakhit ◽  
Justin Clark ◽  
Melanie Vermeulen ◽  
Mark Jones ◽  
...  
Keyword(s):  
Goodness Of Fit ◽  
Negative Binomial ◽  
School Closure ◽  
School Closures ◽  
Chi Square ◽  
Exact Test ◽  
Australian State ◽  
Chi Square Test ◽  
The Impact ◽  
Vacation Period

Background: The impact of school holidays on influenza rates has been sparsely documented in Australia. In 2019, the early winter influenza season coincided with mid-year school breaks, enabling us the unusual opportunity to examine how influenza incidence changed during school closure dates. Methods: The weekly influenza data from five Australian state and one territory health departments for the period of week 19 (mid-May) to week 35 (early September) 2019 were compared to each state’s public school closure dates. We used segmented regression to model the weekly counts and a negative binomial distribution to account for overdispersion due to autocorrelation. The models’ goodness-of-fit was assessed by plots of observed versus expected counts, plots of residuals versus predicted values, and Pearson’s Chi-square test. The main exposure was the July two-week school vacation period, using a lag of one week. The effect is estimated as a percent change in incidence level, and in slope. We also dichotomized the change in weekly counts into decreases versus increases (or no change). The proportion of decreases were then compared for each of three periods (pre-vacation, vacation, post-vacation) using Fishers exact test. Results: School holidays were associated with significant declines in influenza incidence. The models showed acceptable goodness-of-fit. The numbers and percentages of decreases in weekly influenza counts from the previous week for all states combined were: 19 (33%) pre-vacation; 11 (92%) decreases during the vacation; and 19 (59%) decreases post-vacation (P=0.0002). The first decline during school holidays is seen in the school aged (5-19 years) population, with the declines in the adult and infant populations being smaller and following a week later. Conclusions: Given the significant and rapid reductions in incidence, these results have important public health implications. Closure or extension of holiday periods could be an emergency option for state governments.

scholarly journals The impact of unplanned school closure on children’s social contact: Rapid evidence review

2020 ◽  
Author(s):  
Samantha Brooks ◽  
Louise Smith ◽  
Rebecca Webster ◽  
Dale Weston ◽  
Lisa Woodland ◽  
...  
Keyword(s):  
Public Health ◽  
Infectious Disease ◽  
Relevant Literature ◽  
Disease Outbreaks ◽  
Social Contact ◽  
School Closure ◽  
School Closures ◽  
Infectious Disease Outbreaks ◽  
Spread Of Infection ◽  
The Impact

Background Emergency school closures are often used as public health interventions during infectious disease outbreaks in an attempt to minimise the spread of infection. However, if children continue to mix with others outside the home during the closures, these measures are unlikely to be effective. ObjectivesThis review aimed to summarise existing literature on children’s activities and contacts made outside the home during unplanned school closures.MethodsWe searched four databases from inception to February 2020 for relevant literature. Main findings were extracted. Results3,343 citations were screened and 19 included in the review. Activities and social contacts appeared to decrease during closures but contact was still common. All studies reported children leaving the house or being looked after by non-household members. There was some evidence that older child age and parental disagreement with closure were predictive of children leaving the house, and mixed evidence regarding the relationship between infection status and leaving the home. Parental agreement with closure was generally high, but some parents disagreed due to perceived low risk of infection and practical issues regarding childcare and financial impact. ConclusionsEvidence suggests that many children continue to leave the house and mix with others during school closures despite public health recommendations to avoid social contact. This review of behaviour during unplanned school closures could be used to improve infectious disease modelling.

scholarly journals The effect of non-pharmaceutical interventions on COVID-19 cases, deaths and demand for hospital services in the UK: a modelling study

2020 ◽  
Author(s):  
Nicholas G. Davies ◽  
Adam J. Kucharski ◽  
Rosalind M. Eggo ◽  
Amy Gimma ◽  
W. John Edmunds ◽  
...  
Keyword(s):  
Intensive Care ◽  
Healthcare System ◽  
Control Measures ◽  
Transmission Model ◽  
School Closures ◽  
Social Distancing ◽  
Age Structured ◽  
The Uk ◽  
The Impact ◽  
Pharmaceutical Interventions

AbstractBackgroundNon-pharmaceutical interventions have been implemented to reduce transmission of SARS-CoV-2 in the UK. Projecting the size of an unmitigated epidemic and the potential effect of different control measures has been critical to support evidence-based policymaking during the early stages of the epidemic.MethodsWe used a stochastic age-structured transmission model to explore a range of intervention scenarios, including the introduction of school closures, social distancing, shielding of elderly groups, self-isolation of symptomatic cases, and extreme “lockdown”-type restrictions. We simulated different durations of interventions and triggers for introduction, as well as combinations of interventions. For each scenario, we projected estimated new cases over time, patients requiring inpatient and critical care (intensive care unit, ICU) treatment, and deaths.FindingsWe found that mitigation measures aimed at reducing transmission would likely have decreased the reproduction number, but not sufficiently to prevent ICU demand from exceeding NHS availability. To keep ICU bed demand below capacity in the model, more extreme restrictions were necessary. In a scenario where “lockdown”-type interventions were put in place to reduce transmission, these interventions would need to be in place for a large proportion of the coming year in order to prevent healthcare demand exceeding availability.InterpretationThe characteristics of SARS-CoV-2 mean that extreme measures are likely required to bring the epidemic under control and to prevent very large numbers of deaths and an excess of demand on hospital beds, especially those in ICUs.Research in ContextEvidence before this studyAs countries have moved from early containment efforts to planning for the introduction of large-scale non-pharmaceutical interventions to control COVID-19 outbreaks, epidemic modelling studies have explored the potential for extensive social distancing measures to curb transmission. However, it remains unclear how different combinations of interventions, timings, and triggers for the introduction and lifting of control measures may affect the impact of the epidemic on health services, and what the range of uncertainty associated with these estimates would be.Added value of this studyUsing a stochastic, age-structured epidemic model, we explored how eight different intervention scenarios could influence the number of new cases and deaths, as well as intensive care beds required over the projected course of the epidemic. We also assessed the potential impact of local versus national targeting of interventions, reduction in leisure events, impact of increased childcare by grandparents, and timing of triggers for different control measures. We simulated multiple realisations for each scenario to reflect uncertainty in possible epidemic trajectories.Implications of all the available evidenceOur results support early modelling findings, and subsequent empirical observations, that in the absence of control measures, a COVID-19 epidemic could quickly overwhelm a healthcare system. We found that even a combination of moderate interventions – such as school closures, shielding of older groups and self-isolation – would be unlikely to prevent an epidemic that would far exceed available ICU capacity in the UK. Intermittent periods of more intensive lockdown-type measures are predicted to be effective for preventing the healthcare system from being overwhelmed.

scholarly journals Teachers’ Perceptions and the Challenges of Online Teaching/Learning in Morocco during Covid-19 Crisis

2021 ◽  
Author(s):  
Basma MOUNJID ◽  
Elhassane EL HILALI ◽  
Fatima AMRANI ◽  
Mohammed MOUBTASSIME
Keyword(s):  
Online Education ◽  
Online Teaching ◽  
Teaching And Learning ◽  
Online Survey ◽  
School Closure ◽  
School Closures ◽  
Teachers Perceptions ◽  
Data Collection Instrument ◽  
Teaching Learning ◽  
The Impact

The global spread of the COVID-19 pandemic has caused one of the most extensive school closures worldwide, sending over one billion students home away from their schools, teachers, and classmates. Governments opted for online education to ensure the continuity of learning. Teachers in Morocco have opted for different tech tools and platforms to design and deliver online classes. This study aims to assess the impact and effectiveness of online teaching during the COVID 19 outbreak among teachers in Morocco. Based on the theoretical framework Online Collaborative Learning (OCL), an online survey questionnaire is employed as a data collection instrument. A total of 421 Moroccan teachers from different regions all over Morocco took part in the study. This paper used the Statistical Package for Social Sciences (SPSS) software to analyze the collected data and determine the impact and quality of online teaching during the Covid-19 national school closure in Morocco. The results showed that most of the teachers faced numerous technology, training, and socio-economic challenges that acted as barriers to the processes of online education. The findings obtained can be of use in making future decisions concerning the implementation of teaching and learning online programs in Morocco considering the teachers’ perspective

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