Evidence map›Paper›PMID 36279279›Full record

ArticlePLoS computational biology2022

Novel methods for estimating the instantaneous and overall COVID-19 case fatality risk among care home residents in England.

Christopher E Overton, Luke Webb, Uma Datta, Mike Fursman, Jo Hardstaff, Iina Hiironen, Karthik Paranthaman, Heather Riley, James Sedgwick, Julia Verne and 3 more

Abstract read
In one paragraph

Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Case-Fatality Risk of Norovirus, England, 2022-2025.Emerging infectious diseases · 2026
    Article
  2. Professor Ian Hall's contribution to the Discussion of 'Some statistical aspects of the COVID-19 response' by Wood et al.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2026
    Article
  3. Article
  4. Article
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.

Christopher E OvertonDepartment of Mathematics, University of Manchester, Manchester, United Kingdom.ORCID 0000-0002-8433-4010
Luke WebbDepartment of Mathematics, University of Manchester, Manchester, United Kingdom.ORCID 0000-0001-6263-0575
Uma DattaCare Quality Commission, London, United Kingdom.
Mike FursmanCare Quality Commission, London, United Kingdom.
Jo HardstaffField Service, National Infection Service, Public Health England, London, United Kingdom.
Iina HiironenField Service, National Infection Service, Public Health England, London, United Kingdom.ORCID 0000-0002-9714-1488
Karthik ParanthamanField Service, National Infection Service, Public Health England, London, United Kingdom.ORCID 0000-0002-5633-8559
Heather RileyDepartment of Mathematics, University of Manchester, Manchester, United Kingdom.ORCID 0000-0001-6133-9292
James SedgwickField Service, National Infection Service, Public Health England, London, United Kingdom.ORCID 0000-0002-7200-4559
Julia VerneAdult Social Care Team, Public Health England, London, United Kingdom.
Steve WillnerAdult Social Care Team, Public Health England, London, United Kingdom.
Lorenzo PellisDepartment of Mathematics, University of Manchester, Manchester, United Kingdom.
Ian HallDepartment of Mathematics, University of Manchester, Manchester, United Kingdom.

Funding

Department of HealthMedical Research Council MR/V038613/1Wellcome Trust 202562/Z/16/Z
6 · The paper itself

Abstract

The COVID-19 pandemic has had high mortality rates in the elderly and frail worldwide, particularly in care homes. This is driven by the difficulty of isolating care homes from the wider community, the large population sizes within care facilities (relative to typical households), and the age/frailty of the residents. To quantify the mortality risk posed by disease, the case fatality risk (CFR) is an important tool. This quantifies the proportion of cases that result in death. Throughout the pandemic, CFR amongst care home residents in England has been monitored closely. To estimate CFR, we apply both novel and existing methods to data on deaths in care homes, collected by Public Health England and the Care Quality Commission. We compare these different methods, evaluating their relative strengths and weaknesses. Using these methods, we estimate temporal trends in the instantaneous CFR (at both daily and weekly resolutions) and the overall CFR across the whole of England, and dis-aggregated at regional level. We also investigate how the CFR varies based on age and on the type of care required, dis-aggregating by whether care homes include nursing staff and by age of residents. This work has contributed to the summary of measures used for monitoring the UK epidemic.

Indexed as

COVID-19AgedEnglandHumansNursing HomesPandemicsPopulation Density

Identifiers

PMID36279279
PMCPMC9632866

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.