Evidence map›Paper›PMID 39045688›Full record

ReviewJournal of the Royal Society, Interface2024

Symptom propagation in respiratory pathogens of public health concern: a review of the evidence.

Phoebe Asplin, Rebecca Mancy, Thomas Finnie, Fergus Cumming, Matt J Keeling, Edward M Hill

Abstract readReview
In one paragraph

Review in Journal of the Royal Society, Interface, 2024. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

6 authors.

Phoebe AsplinEPSRC & MRC Centre for Doctoral Training in Mathematics for Real-World Systems, University of Warwick, Coventry, UK.ORCID 0000-0001-6430-2831
Rebecca MancySchool of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow, UK.ORCID 0000-0002-4667-9229
Thomas FinnieData, Analytics and Surveillance, UK Health Security Agency, London, UK.
Fergus CummingForeign, Commonwealth and Development Office, London, UK.
Matt J KeelingMathematics Institute, University of Warwick, Coventry, UK.ORCID 0000-0003-4639-4765
Edward M HillMathematics Institute, University of Warwick, Coventry, UK.ORCID 0000-0002-2992-2004

Funding

Medical Research Council MC_UU_00022/4
6 · The paper itself

Abstract

Symptom propagation occurs when the symptom set an individual experiences is correlated with the symptom set of the individual who infected them. Symptom propagation may dramatically affect epidemiological outcomes, potentially causing clusters of severe disease. Conversely, it could result in chains of mild infection, generating widespread immunity with minimal cost to public health. Despite accumulating evidence that symptom propagation occurs for many respiratory pathogens, the underlying mechanisms are not well understood. Here, we conducted a scoping literature review for 14 respiratory pathogens to ascertain the extent of evidence for symptom propagation by two mechanisms: dose-severity relationships and route-severity relationships. We identify considerable heterogeneity between pathogens in the relative importance of the two mechanisms, highlighting the importance of pathogen-specific investigations. For almost all pathogens, including influenza and SARS-CoV-2, we found support for at least one of the two mechanisms. For some pathogens, including influenza, we found convincing evidence that both mechanisms contribute to symptom propagation. Furthermore, infectious disease models traditionally do not include symptom propagation. We summarize the present state of modelling advancements to address the methodological gap. We then investigate a simplified disease outbreak scenario, finding that under strong symptom propagation, isolating mildly infected individuals can have negative epidemiological implications.

Indexed as

COVID-19Influenza, HumanPublic HealthSARS-CoV-2HumansModels, BiologicalRespiratory Tract Infectionsinfluenzamathematical modellingrespiratory pathogensSARS-CoV-2symptom propagationsymptom severity

Identifiers

PMID39045688
PMCPMC11267474

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.