Evidence map›Paper›PMID 35022215›Full record

Observational studyBMJ (Clinical research ed.)2022

Indirect effects of the covid-19 pandemic on childhood infection in England: population based observational study.

Seilesh Kadambari, Raphael Goldacre, Eva Morris, Michael J Goldacre, Andrew J Pollard

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in BMJ (Clinical research ed.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
9.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

65 citing papers in PubMed, 97 citations in OpenAlex.

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  4. Early-life exposures in infants born during and after the COVID-19 pandemic: A comparative prospective observational study of the CORAL and FLORAL birth cohorts.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2026
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5 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Seilesh KadambariOxford Vaccine Group, Department of Paediatrics, University of Oxford, Oxford, UK Seilesh.kadambari@paediatrics.ox.ac.uk.ORCID 0000-0003-3658-7635
Raphael GoldacreUnit of Health-Care Epidemiology, Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Eva MorrisUnit of Health-Care Epidemiology, Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Michael J GoldacreUnit of Health-Care Epidemiology, Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Andrew J PollardOxford Vaccine Group, Department of Paediatrics, University of Oxford, Oxford, UK.
University of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the impact of the covid-19 pandemic on hospital admission rates and mortality outcomes for childhood respiratory infections, severe invasive infections, and vaccine preventable disease in England.

designPopulation based observational study of 19 common childhood respiratory, severe invasive, and vaccine preventable infections, comparing hospital admission rates and mortality outcomes before and after the onset of the pandemic in England.

settingHospital admission data from every NHS hospital in England from 1 March 2017 to 30 June 2021 with record linkage to national mortality data. POPULATION: Children aged 0-14 years admitted to an NHS hospital with a selected childhood infection from 1 March 2017 to 30 June 2021.

main outcome measuresFor each infection, numbers of hospital admissions every month from 1 March 2017 to 30 June 2021, percentage changes in the number of hospital admissions before and after 1 March 2020, and adjusted odds ratios to compare 60 day case fatality outcomes before and after 1 March 2020.

resultsAfter 1 March 2020, substantial and sustained reductions in hospital admissions were found for all but one of the 19 infective conditions studied. Among the respiratory infections, the greatest percentage reductions were for influenza (mean annual number admitted between 1 March 2017 and 29 February 2020 was 5379 and number of children admitted from 1 March 2020 to 28 February 2021 was 304, 94% reduction, 95% confidence interval 89% to 97%), and bronchiolitis (from 51 655 to 9423, 82% reduction, 95% confidence interval 79% to 84%). Among the severe invasive infections, the greatest reduction was for meningitis (50% reduction, 47% to 52%). For the vaccine preventable infections, reductions ranged from 53% (32% to 68%) for mumps to 90% (80% to 95%) for measles. Reductions were seen across all demographic subgroups and in children with underlying comorbidities. Corresponding decreases were also found for the absolute numbers of 60 day case fatalities, although the proportion of children admitted for pneumonia who died within 60 days increased (age-sex adjusted odds ratio 1.71, 95% confidence interval 1.43 to 2.05). More recent data indicate that some respiratory infections increased to higher levels than usual after May 2021.

conclusionsDuring the covid-19 pandemic, a range of behavioural changes (adoption of non-pharmacological interventions) and societal strategies (school closures, lockdowns, and restricted travel) were used to reduce transmission of SARS-CoV-2, which also reduced admissions for common and severe childhood infections. Continued monitoring of these infections is required as social restrictions evolve.

Indexed as

PandemicsAdolescentChildChild, PreschoolCOVID-19EnglandFemaleHospitalizationHumansInfantInfant, NewbornInfectionsMaleQuarantineRespiratory Tract InfectionsSARS-CoV-2

Identifiers

PMID35022215
PMCPMC8753487
OpenAlexW4205935062

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.