The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
SARS-CoV-2 infection and transmission in educational settings: a prospective, cross-sectional analysis of infection clusters and outbreaks in England
Open accessPublished version of a preprint
Abstract
Background Understanding severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and transmission in educational settings is crucial for ensuring the safety of staff and children during the COVID-19 pandemic. We estimated the rate of SARS-CoV-2 infection and outbreaks among staff and students in educational settings during the summer half-term (June–July, 2020) in England. Methods In this prospective, cross-sectional analysis, Public Health England initiated enhanced national surveillance in educational settings in England that had reopened after the first national lockdown, from June 1 to July 17, 2020. Educational settings were categorised as early years settings (<5-year-olds), primary schools (5–11-year-olds; only years 1 and 6 allowed to return), secondary schools (11–18-year-olds; only years 10 and 12), or mixed-age settings (spanning a combination of the above). Further education colleges were excluded. Data were recorded in HPZone, an online national database for events that require public health management. RT-PCR-confirmed SARS-CoV-2 event rates and case rates were calculated for staff and students, and direction of transmission was inferred on the basis of symptom onset and testing dates. Events were classified as single cases, coprimary cases (at least two confirmed cases within 48 h, typically within the same household), and outbreaks (at least two epidemiologically linked cases, with sequential cases diagnosed within 14 days in the same educational setting). All events were followed up for 28 days after educational settings closed for the summer holidays. Negative binomial regression was used to correlate educational setting events with regional population, population density, and community incidence. Findings A median of 38 000 early years settings (IQR 35 500–41 500), 15 600 primary schools (13 450–17 300), and 4000 secondary schools (3700–4200) were open each day, with a median daily attendance of 928 000 students (630 000–1 230 000) overall. There were 113 single cases of SARS-CoV-2 infection, nine coprimary cases, and 55 outbreaks. The risk of an outbreak increased by 72% (95% CI 28–130) for every five cases per 100 000 population increase in community incidence (p<0·0001). Staff had higher incidence than students (27 cases [95% CI 23–32] per 100 000 per day among staff compared with 18 cases [14–24] in early years students, 6·0 cases [4·3–8·2] in primary schools students, and 6·8 cases [2·7–14] in secondary school students]), and most cases linked to outbreaks were in staff members (154 [73%] staff vs 56 [27%] children of 210 total cases). Probable direction of transmission was staff to staff in 26 outbreaks, staff to student in eight outbreaks, student to staff in 16 outbreaks, and student to student in five outbreaks. The median number of secondary cases in outbreaks was one (IQR 1–2) for student index cases and one (1–5) for staff index cases. Interpretation SARS-CoV-2 infections and outbreaks were uncommon in educational settings during the summer half-term in England. The strong association with regional COVID-19 incidence emphasises the importance of controlling community transmission to protect educational settings. Interventions should focus on reducing transmission in and among staff. Funding Public Health England.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Lauer, S. A., Grantz, K. H., Bi, Q., Jones, F. K., Zheng, Q., Meredith, H. R., Azman, A. S., Reich, N. G., & Lessler, J. (2020) · Annals of Internal Medicine · doi:10.7326/m20-0504 · Cited by 5,970
Viner, R. M., Russell, S. J., Croker, H., Packer, J., Ward, J., Stansfield, C., Mytton, O., Bonell, C., & Booy, R. (2020) · The Lancet Child & Adolescent Health · doi:10.1016/s2352-4642(20)30095-x · Cited by 2,213
Presymptomatic SARS-CoV-2 Infections and Transmission in a Skilled Nursing Facility
Arons, M. M., Hatfield, K. M., Reddy, S. C., Kimball, A., James, A., Jacobs, J. R., Taylor, J., Spicer, K., Bardossy, A. C., Oakley, L. P., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2008457 · Cited by 2,052
Spread of SARS-CoV-2 in the Icelandic population
Gudbjartsson, D. F., Helgason, A., Jonsson, H., Magnusson, O. T., Melsted, P., Norddahl, G. L., Saemundsdottir, J., Sigurdsson, A., Sulem, P., Agustsdottir, A. B., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2006100 · Cited by 1,248
Viner, R. M., Mytton, O. T., Bonell, C., Melendez-Torres, G. J., Ward, J., Hudson, L., Waddington, C., Thomas, J., Russell, S., van der Klis, F., et al. (2021) · JAMA Pediatrics · doi:10.1001/jamapediatrics.2020.4573 · Cited by 835
Self-citationFalse-negative results of initial RT-PCR assays for COVID-19: A systematic review
Arevalo-Rodriguez, I., Buitrago-Garcia, D., Simancas-Racines, D., Zambrano-Achig, P., Del Campo, R., Ciapponi, A., Sued, O., Martinez-García, L., Rutjes, A. W., Low, N., et al. (2020) · PLOS ONE · doi:10.1371/journal.pone.0242958 · Cited by 656
Contact Tracing during Coronavirus Disease Outbreak, South Korea, 2020
Park, Y. J., Choe, Y. J., Park, O., Park, S. Y., Kim, Y.-M., Kim, J., Kweon, S., Woo, Y., Gwack, J., Kim, S. S., et al. (2020) · Emerging Infectious Diseases · doi:10.3201/eid2610.201315 · Cited by 500
A large COVID-19 outbreak in a high school 10 days after schools’ reopening, Israel, May 2020
Stein-Zamir, C., Abramson, N., Shoob, H., Libal, E., Bitan, M., Cardash, T., Cayam, R., & Miskin, I. (2020) · Eurosurveillance · doi:10.2807/1560-7917.es.2020.25.29.2001352 · Cited by 409
Transmission of SARS-CoV-2 in Australian educational settings: a prospective cohort study
Macartney, K., Quinn, H. E., Pillsbury, A. J., Koirala, A., Deng, L., Winkler, N., Katelaris, A. L., O'Sullivan, M. V. N., Dalton, C., Wood, N., et al. (2020) · The Lancet Child & Adolescent Health · doi:10.1016/s2352-4642(20)30251-0 · Cited by 363
FALSE-NEGATIVE RESULTS OF INITIAL RT-PCR ASSAYS FOR COVID-19: A SYSTEMATIC REVIEW
Arevalo-Rodriguez, I., Buitrago-Garcia, D., Simancas-Racines, D., Zambrano-Achig, P., Campo, R. D., Ciapponi, A., Sued, O., Martínez-García, L., Rutjes, A., Low, N., et al. (2020) · medRxiv · doi:10.1101/2020.04.16.20066787 · Cited by 310
Cited by
Andrews, N., Stowe, J., Kirsebom, F., Toffa, S., Sachdeva, R., Gower, C., Ramsay, M., & Lopez Bernal, J. (2022) · Nature Medicine · doi:10.1038/s41591-022-01699-1 · Cited by 453
Self-citationFontanet, A., Tondeur, L., Grant, R., Temmam, S., Madec, Y., Bigot, T., Grzelak, L., Cailleau, I., Besombes, C., Ungeheuer, M.-N., et al. (2021) · Eurosurveillance · doi:10.2807/1560-7917.es.2021.26.15.2001695 · Cited by 264
Household COVID-19 risk and in-person schooling
Lessler, J., Grabowski, M. K., Grantz, K. H., Badillo-Goicoechea, E., Metcalf, C. J. E., Lupton-Smith, C., Azman, A. S., & Stuart, E. A. (2021) · Science · doi:10.1126/science.abh2939 · Cited by 233
Young, B. C., Eyre, D. W., Kendrick, S., White, C., Smith, S., Beveridge, G., Nonnenmacher, T., Ichofu, F., Hillier, J., Oakley, S., et al. (2021) · The Lancet · doi:10.1016/s0140-6736(21)01908-5 · Cited by 116
Health Equity, Schooling Hesitancy, and the Social Determinants of Learning
Levinson, M., Geller, A. C., & Allen, J. G. (2021) · The Lancet Regional Health - Americas · doi:10.1016/j.lana.2021.100032 · Cited by 23
Metadata
- Authors
- Ismail, S. A., Saliba, V., Lopez Bernal, J., Ramsay, M. E., & Ladhani, S. N.
- Venue
- The Lancet Infectious Diseases
- Publisher
- Elsevier BV
- Published
- 2021-03
- Volume
- 21
- Issue
- 3
- Pages
- 344-353
- ISSN
- 1473-3099 (ISSN-L)
- OpenAlex
- W3111440965
- Cited by
- 305
- References
- 18
- FWCI
- 10.65
- Type
- journal article
- Language
- en
- Open access
- bronze
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- Funders
- Department of Health and Social Care
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: SARS-CoV-2 infection and transmission in educational settings: a prospective, cross-sectional analysis of infection clusters and outbreaks in England. https://app.cochat.ai/papers/10.1016/s1473-3099(20)30882-3
- The paper
- Ismail, S. A., Saliba, V., Lopez Bernal, J., Ramsay, M. E., & Ladhani, S. N. (2021). SARS-CoV-2 infection and transmission in educational settings: a prospective, cross-sectional analysis of infection clusters and outbreaks in England. The Lancet Infectious Diseases. https://doi.org/10.1016/s1473-3099(20)30882-3
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.