Evidence map›Paper›PMID 37228015›Full record

ArticlePLoS biology2023

Dynamics of SARS-CoV-2 infection hospitalisation and infection fatality ratios over 23 months in England.

Oliver Eales, David Haw, Haowei Wang, Christina Atchison, Deborah Ashby, Graham S Cooke, Wendy Barclay, Helen Ward, Ara Darzi, Christl A Donnelly and 3 more

Abstract read
In one paragraph

Article in PLoS biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Article
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  5. The importance of playing the long game when it comes to pandemic surveillance.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  8. Observational
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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

13 authors.

Oliver EalesSchool of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0002-8086-4495
David HawSchool of Public Health, Imperial College London, London, United Kingdom.
Haowei WangSchool of Public Health, Imperial College London, London, United Kingdom.
Christina AtchisonSchool of Public Health, Imperial College London, London, United Kingdom.
Deborah AshbySchool of Public Health, Imperial College London, London, United Kingdom.
Graham S CookeDepartment of Infectious Disease, Imperial College London, London, United Kingdom.
Wendy BarclayDepartment of Infectious Disease, Imperial College London, London, United Kingdom.
Helen WardSchool of Public Health, Imperial College London, London, United Kingdom.
Ara DarziImperial College Healthcare NHS Trust, London, United Kingdom.
Christl A DonnellySchool of Public Health, Imperial College London, London, United Kingdom.
Marc Chadeau-HyamSchool of Public Health, Imperial College London, London, United Kingdom.
Paul ElliottSchool of Public Health, Imperial College London, London, United Kingdom.
Steven RileySchool of Public Health, Imperial College London, London, United Kingdom.

Funding

British Heart Foundation RE/18/4/34215Cancer Research UK 22184Department of HealthMedical Research Council MC_PC_17114Medical Research Council MR/L01341X/1Medical Research Council MR/R015600/1Medical Research Council MR/S019669/1Wellcome TrustWellcome Trust 200187/Z/15/ZWellcome Trust 200861/Z/16/ZWellcome Trust 205456/Z/16/Z
6 · The paper itself

Abstract

The relationship between prevalence of infection and severe outcomes such as hospitalisation and death changed over the course of the COVID-19 pandemic. Reliable estimates of the infection fatality ratio (IFR) and infection hospitalisation ratio (IHR) along with the time-delay between infection and hospitalisation/death can inform forecasts of the numbers/timing of severe outcomes and allow healthcare services to better prepare for periods of increased demand. The REal-time Assessment of Community Transmission-1 (REACT-1) study estimated swab positivity for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection in England approximately monthly from May 2020 to March 2022. Here, we analyse the changing relationship between prevalence of swab positivity and the IFR and IHR over this period in England, using publicly available data for the daily number of deaths and hospitalisations, REACT-1 swab positivity data, time-delay models, and Bayesian P-spline models. We analyse data for all age groups together, as well as in 2 subgroups: those aged 65 and over and those aged 64 and under. Additionally, we analysed the relationship between swab positivity and daily case numbers to estimate the case ascertainment rate of England's mass testing programme. During 2020, we estimated the IFR to be 0.67% and the IHR to be 2.6%. By late 2021/early 2022, the IFR and IHR had both decreased to 0.097% and 0.76%, respectively. The average case ascertainment rate over the entire duration of the study was estimated to be 36.1%, but there was some significant variation in continuous estimates of the case ascertainment rate. Continuous estimates of the IFR and IHR of the virus were observed to increase during the periods of Alpha and Delta's emergence. During periods of vaccination rollout, and the emergence of the Omicron variant, the IFR and IHR decreased. During 2020, we estimated a time-lag of 19 days between hospitalisation and swab positivity, and 26 days between deaths and swab positivity. By late 2021/early 2022, these time-lags had decreased to 7 days for hospitalisations and 18 days for deaths. Even though many populations have high levels of immunity to SARS-CoV-2 from vaccination and natural infection, waning of immunity and variant emergence will continue to be an upwards pressure on the IHR and IFR. As investments in community surveillance of SARS-CoV-2 infection are scaled back, alternative methods are required to accurately track the ever-changing relationship between infection, hospitalisation, and death and hence provide vital information for healthcare provision and utilisation.

Indexed as

COVID-19Bayes TheoremEnglandHospitalizationHumansPandemicsSARS-CoV-2

Identifiers

PMID37228015
PMCPMC10212114

What OpenQuestion holds

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LicenceCC BY
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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.