Evidence map›Paper›PMID 33218318›Full record

ArticleBMC public health2020

Household presentation of influenza and acute respiratory illnesses to a primary care sentinel network: retrospective database studies (2013-2018).

Simon de Lusignan, Julian Sherlock, Oluwafunmi Akinyemi, Richard Pebody, Alex Elliot, Rachel Byford, Ivelina Yonova, Maria Zambon, Mark Joy

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Responding to COVID-19 with real-time general practice data in Australia.International journal of medical informatics · 2022
    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

9 authors at 2 institutions in 1 country.

Simon de LusignanNuffield Department of Primary Care Health Sciences, University of Oxford, Woodstock Rd, Oxford, OX2 6GG, UK. simon.delusignan@phc.ox.ac.uk.ORCID http://orcid.org/0000-0002-8553-2641
Julian SherlockNuffield Department of Primary Care Health Sciences, University of Oxford, Woodstock Rd, Oxford, OX2 6GG, UK.
Oluwafunmi AkinyemiNuffield Department of Primary Care Health Sciences, University of Oxford, Woodstock Rd, Oxford, OX2 6GG, UK.
Richard PebodyPublic Health England, 61 Colindale Ave, London, NW9 5EQ, UK.
Alex ElliotPublic Health England, 61 Colindale Ave, London, NW9 5EQ, UK.
Rachel ByfordNuffield Department of Primary Care Health Sciences, University of Oxford, Woodstock Rd, Oxford, OX2 6GG, UK.
Ivelina YonovaNuffield Department of Primary Care Health Sciences, University of Oxford, Woodstock Rd, Oxford, OX2 6GG, UK.
Maria ZambonPublic Health England, 61 Colindale Ave, London, NW9 5EQ, UK.
Mark JoyNuffield Department of Primary Care Health Sciences, University of Oxford, Woodstock Rd, Oxford, OX2 6GG, UK.
University of Surrey · GBPublic Health England · GB

Funding

Public Health (UK) JV1210A
6 · The paper itself

Abstract

backgroundDirect observation of the household spread of influenza and respiratory infections is limited; much of our understanding comes from mathematical models. The study aims to determine household incidence of influenza-like illness (ILI), lower (LRTI) and upper (URTI) respiratory infections within a primary care routine data and identify factors associated with the diseases' incidence.

methodsWe conducted two five-year retrospective analyses of influenza-like illness (ILI), lower (LRTI) and upper (URTI) respiratory infections using the England Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) primary care sentinel network database; a cross-sectional study reporting incident rate ratio (IRR) from a negative binomial model and a retrospective cohort study, using a shared gamma frailty survival model, reporting hazard ratios (HR). We reported the following household characteristics: children < 5 years old, each extra household member, gender, ethnicity (reference white), chronic disease, pregnancy, and rurality.

resultsThe IRR where there was a child < 5 years were 1·62 (1·38-1·89, p < 0·0001), 2·40 (2.04-2.83, p < 0·0001) and 4·46 (3.79-5.255, p < 0·0001) for ILI, LRTI and URTI respectively. IRR also increased with household size, rurality and presentations and by female gender, compared to male. Household incidence of URTI and LRTI changed little between years whereas influenza did and were greater in years with lower vaccine effectiveness. The HR where there was a child < 5 years were 2·34 (95%CI 1·88-2·90, p < 0·0001), 2·97 (95%CI 2·76-3·2, p < 0·0001) and 10·32 (95%CI 10.04-10.62, p < 0·0001) for ILI, LRTI and URTI respectively. HR were increased with female gender, rurality, and increasing household size.

conclusionsPatterns of household incidence can be measured from routine data and may provide insights for the modelling of disease transmission and public health policy.

Indexed as

Influenza, HumanRespiratory Tract InfectionsChildChild, PreschoolCross-Sectional StudiesEnglandFemaleHumansMalePrimary Health CareRetrospective StudiesComputerizedDisease incidenceFamily characteristicsInfectiousMedical record systemsPopulation characteristics

Identifiers

PMID33218318
PMCPMC7677442
OpenAlexW3102456580

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.