Evidence map›Paper›PMID 37333946›Full record

SynthesisInfluenza and other respiratory viruses2023

Household transmission investigation: Design, reporting and critical appraisal.

David J Price, Violeta Spirkoska, Adrian J Marcato, Niamh Meagher, James E Fielding, Amalia Karahalios, Isabel Bergeri, Hannah Lewis, Marta Valenciano, Richard Pebody and 2 more

Abstract readSystematic Review
In one paragraph

Synthesis in Influenza and other respiratory viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 3 pooled it
–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

5 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. 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

12 authors.

David J PriceDepartment of Infectious Diseases, The University of Melbourne Peter Doherty Institute for Infection and Immunity Melbourne Victoria Australia.
Violeta SpirkoskaDepartment of Infectious Diseases, The University of Melbourne Peter Doherty Institute for Infection and Immunity Melbourne Victoria Australia.
Adrian J MarcatoDepartment of Infectious Diseases, The University of Melbourne Peter Doherty Institute for Infection and Immunity Melbourne Victoria Australia.
Niamh MeagherDepartment of Infectious Diseases, The University of Melbourne Peter Doherty Institute for Infection and Immunity Melbourne Victoria Australia.ORCID 0000-0001-5324-8307
James E FieldingDepartment of Infectious Diseases, The University of Melbourne Peter Doherty Institute for Infection and Immunity Melbourne Victoria Australia.ORCID 0000-0003-2995-9576
Amalia KarahaliosCentre for Epidemiology & Biostatistics, Melbourne School of Population & Global Health The University of Melbourne Melbourne Victoria Australia.
Isabel BergeriWorld Health Organization Geneva Switzerland.ORCID 0000-0002-1204-1753
Hannah LewisWorld Health Organization Geneva Switzerland.
Marta ValencianoWorld Health Organization Geneva Switzerland.
Richard PebodyWorld Health Organization Regional Office for Europe Copenhagen Denmark.
Jodie McVernonDepartment of Infectious Diseases, The University of Melbourne Peter Doherty Institute for Infection and Immunity Melbourne Victoria Australia.
Juan-Pablo Villanueva-CabezasDepartment of Infectious Diseases, The University of Melbourne Peter Doherty Institute for Infection and Immunity Melbourne Victoria Australia.ORCID 0000-0002-8575-9141

Funding

World Health Organization 001
6 · The paper itself

Abstract

Background: Household transmission investigations (HHTIs) contribute timely epidemiologic knowledge in response to emerging pathogens. HHTIs conducted in the context of the COVID-19 pandemic in 2020-21 reported variable methodological approaches, producing epidemiological estimates that vary in meaning, precision and accuracy. Because specific tools to assist with the optimal design and critical appraisal of HHTIs are not available, the aggregation and pooling of inferences from HHTIs to inform policy and interventions may be challenging. Methods: In this manuscript, we discuss key aspects of the HHTI design, provide recommendations for the reporting of these studies and propose an appraisal tool that contributes to the optimal design and critical appraisal of HHTIs. Results: The appraisal tool consists of 12 questions that explore 10 aspects of HHTIs and can be answered 'yes', 'no' or 'unclear'. We provide an example of the use of this tool in the context of a systematic review that aimed to quantify the household secondary attack rate from HHTIs. Conclusion: We seek to fill a gap in the epidemiologic literature and contribute to standardised HHTI approaches across settings to achieve richer and more informative datasets.

Indexed as

COVID-19Family CharacteristicsHumansPandemicsCOVID‐19emerging infectious diseasesepidemiologyinfluenzapandemic preparednesspublic health

Identifiers

PMID37333946
PMCPMC10271595

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.