Project description:ImportanceSchool closures because of COVID-19 have left 1.6 billion students around the world without in-person classes for a prolonged period. To our knowledge, no study has documented whether reopening schools in low- and middle-income countries during the pandemic was associated with increased aggregate COVID-19 incidence and mortality with appropriate counterfactuals.ObjectiveTo test whether reopening schools under appropriate protocols during the COVID-19 pandemic was associated with increased municipal-level COVID-19 cases and deaths in São Paulo State, Brazil.Design setting and participantsThis observational study of municipalities in São Paulo State, Brazil, uses a difference-in-differences analysis to examine the association between municipal decisions to reopen schools during the COVID-19 pandemic and municipal-level COVID-19 case and death rates between October and December 2020. The study compared 129 municipalities that reopened schools in 2020 with 514 that did not and excluded data for 2 municipalities that reopened schools and closed then again.Main outcomes and measuresNew COVID-19 cases and deaths per 10 000 inhabitants up to 12 weeks after school reopenings and municipal-level aggregate mobility for a subset of municipalities.ResultsThere were 8764 schools in the 129 municipalities that reopened schools compared with 9997 in the control group of 514 municipalities that did not reopen schools. The municipalities that reopened schools had a cumulative COVID-19 incidence of 20 cases per 1000 inhabitants and mortality of 0.5 deaths per 1000 inhabitants in September 2020 (the baseline period) compared with an incidence of 18 cases per 1000 inhabitants and mortality of 0.45 deaths per 1000 inhabitants during the baseline period in the comparison group. The findings indicated that there were no statistically significant differences between municipalities that authorized schools to reopen and those that did not for (1) weekly new cases (difference-in-differences, -0.03; 95% CI, -0.09 to 0.03) and (2) weekly new deaths (difference-in-differences, -0.003; 95% CI, -0.011 to 0.004) before and after October 2020. Reopening schools was not associated with higher disease activity, even in relatively vulnerable municipalities, nor aggregate mobility.Conclusions and relevanceThe findings from this study suggest that keeping schools open during the COVID-19 pandemic did not contribute to the aggregate disease activity.
Project description:ObjectiveTo examine the association between elementary school opening status (ESOS) and changes in pediatric COVID-19 incidence.MethodsWe conducted a cross-sectional study of US counties with school districts with ≥500 elementary school students. The main exposure was ESOS in September, 2020. The outcome was county incidence of COVID-19. Age-stratified negative binomial regression models were constructed using county adult COVID-19 incidence.ResultsAmong 3220 US counties, 618 (19.2%) were remote, 391 (12.1%) were hybrid, 2022 (62.8%) were in-person. In unadjusted models, COVID-19 incidence after school started was higher among children in hybrid or in-person counties compared with remote counties. After adjustment for local adult incidence, among children aged 0 to 9, the incidence rate ratio of COVID-19 (IRR) compared with remote counties was 1.01 (95% confidence interval [CI] 0.93-1.08) in hybrid counties and 0.79 (95% CI 0.75-0.84) in in-person counties.ConclusionsCounties with in-person learning did not have higher rates of COVID-19 after adjustment for local adult rates.
Project description:On 13 March 2020, Israel's government declared closure of all schools. Schools fully reopened on 17 May 2020. Ten days later, a major outbreak of coronavirus disease (COVID-19) occurred in a high school. The first case was registered on 26 May, the second on 27 May. They were not epidemiologically linked. Testing of the complete school community revealed 153 students (attack rate: 13.2%) and 25 staff members (attack rate: 16.6%) who were COVID-19 positive.
Project description:ImportanceAfter abrupt closures of businesses and public gatherings in the US in late spring 2020 due to the COVID-19 pandemic, by mid-May 2020, most states reopened their economies. Owing in part to a lack of earlier data, there was little evidence on whether state reopening policies influenced important pandemic outcomes-COVID-19-related hospitalizations and mortality-to guide future decision-making in the remainder of this and future pandemics.ObjectiveTo investigate changes in COVID-19-related hospitalizations and mortality trends after reopening of US state economies.Design setting and participantsUsing an interrupted time series approach, this cross-sectional study examined trends in per-capita COVID-19-related hospitalizations and deaths before and after state reopenings between April 16 and July 31, 2020. Daily state-level data from the University of Minnesota COVID-19 Hospitalization Tracking Project on COVID-19-related hospitalizations and deaths across 47 states were used in the analysis.ExposuresDates that states reopened their economies.Main outcomes and measuresState-day observations of COVID-19-related hospitalizations and COVID-19-related new deaths per 100 000 people.ResultsThe study included 3686 state-day observations of hospitalizations and 3945 state-day observations of deaths. On the day of reopening, the mean number of hospitalizations per 100 000 people was 17.69 (95% CI, 12.54-22.84) and the mean number of daily new deaths per 100 000 people was 0.395 (95% CI, 0.255-0.536). Both outcomes displayed flat trends before reopening, but they started trending upward thereafter. Relative to the hospitalizations trend in the period before state reopenings, the postperiod trend was higher by 1.607 per 100 000 people (95% CI, 0.203-3.011; P = .03). This estimate implied that nationwide reopenings were associated with 5319 additional people hospitalized for COVID-19 each day. The trend in new deaths after reopening was also positive (0.0376 per 100 000 people; 95% CI, 0.0038-0.0715; P = .03), but the change in mortality trend was not significant (0.0443; 95% CI, -0.0048 to 0.0933; P = .08).Conclusions and relevanceIn this cross-sectional study conducted over a 3.5-month period across 47 US states, data on the association of hospitalizations and mortality with state reopening policies may provide input to state projections of the pandemic as policy makers continue to balance public health protections with sustaining economic activity.
Project description:BackgroundSchool closures in response to the COVID-19 impacted children's education, protection, and wellbeing. After understanding these impacts and that children were not super spreaders, countries including Ethiopia decided to reopen schools with specified preconditions. But when deciding to reopen schools, the benefits and risks across education, public health and socio-economic factors have to be evaluated. However, there was information gap on status of schools as per preconditions. Hence, this study was designed to investigate status of schools in Southern Ethiopia.MethodsSchool based cross-sectional study was conducted in October 2020 in Southern Ethiopia. Sample of 430 schools were included. National school reopening guideline was used to develop checklist for assessment. Data was collected by public health experts at regional emergency operation center. Descriptive analysis was performed to summarize data.ResultsA total of 430 schools were included. More than two thirds, 298 (69.3%), of schools were from rural areas while 132 (30.7%) were from urban settings. The general infection prevention and water, sanitation and hygiene (IPC-WASH) status of schools were poor and COVID-19 specific preparations were inadequate to meet national preconditions to reopen schools during the pandemic. Total score from 24 items observed ranged from 3 to 22 points with mean score of 11.75 (SD±4.02). No school scored 100% and only 41 (9.5%) scored above 75% while 216 (50.2%%) scored below half point that is 12 items.ConclusionBoth the basic and COVID-19 specific IPC-WASH status of schools were inadequate to implement national school reopening preconditions and general standards. Some of strategies planned to accommodate teaching process and preconditions maximized inequalities in education. Although COVID-19 impact lessened due to vaccination and other factors, it is rational to consider fulfilling water and basic sanitation facilities to schools to prevent communicable diseases of public health importance.
Project description:The COVID-19 situation and school closure has brought intense impact to millions of students and teachers. However, there is a growing pressure from parents, teachers, and children for schools to reopen and the national government has developed guidelines if schools going to reopen. This study is conducted to assess the perspective of teachers and other education personnel regarding the current situation and the outlook when schools reopen in the future. A combination of survey, focus group discussions, and interviews were conducted among school personnel (i.e. teachers, school administrator, and school principals), local education office officials, and representatives from teacher's professional associations in Indonesia. A total of 27,046 school personnel participated in the survey, making it one of the largest surveys ever conducted with school personnel in Indonesia. In addition, 53 participants were involved in the FGDs and interviews in 5 areas. Findings suggest that 76% teachers were concerned if schools reopen due to the health risks and 95% teachers preferred having a blended learning or continue using full distance learning. Nevertheless, if schools reopen, teachers expressed the needs for greater health protection among teachers and children, strengthened coordination and collaboration with local stakeholders, and further capacity strengthening to ensure that the learning process can be safe, comfortable, and effective. Specific analysis on the perspective and needs for teachers working with special needs learners and disadvantaged areas are further analysed.
Project description:BackgroundThe Robert-Koch-Institute reports that during the summer holiday period a foreign country is stated as the most likely place of infection for an average of 27 and a maximum of 49% of new SARS-CoV-2 infections in Germany.MethodsCross-sectional study on observational data. In Germany, summer school holidays are coordinated between states and spread out over 13 weeks. Employing a dynamic model with district fixed effects, we analyze the association between these holidays and weekly incidence rates across 401 German districts.ResultsWe find effects of the holiday period of around 45% of the average district incidence rates in Germany during their respective final week of holidays and the 2 weeks after holidays end. Western states tend to experience stronger effects than Eastern states. We also find statistically significant interaction effects of school holidays with per capita taxable income and the share of foreign residents in a district's population.ConclusionsOur results suggest that changed behavior during the holiday season accelerated the pandemic and made it considerably more difficult for public health authorities to contain the spread of the virus by means of contact tracing. Germany's public health authorities did not prepare adequately for this acceleration.
Project description:International comparisons of COVID-19 incidence rates have helped gain insights into the characteristics of the disease, benchmark disease impact, shape public health measures and inform potential travel restrictions and border control measures. However, these comparisons may be biased by differences in COVID-19 surveillance systems and approaches to reporting in each country. To better understand these differences and their impact on incidence comparisons, we collected data on surveillance systems from six European countries: Belgium, England, France, Italy, Romania and Sweden. Data collected included: target testing populations, access to testing, case definitions, data entry and management and statistical approaches to incidence calculation. Average testing, incidence and contextual data were also collected. Data represented the surveillance systems as they were in mid-May 2021. Overall, important differences between surveillance systems were detected. Results showed wide variations in testing rates, access to free testing and the types of tests recorded in national databases, which may substantially limit incidence comparability. By systematically including testing information when comparing incidence rates, these comparisons may be greatly improved. New indicators incorporating testing or existing indicators such as death or hospitalisation will be important to improving international comparisons.