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

Author:

Asplin Phoebe123ORCID,Mancy Rebecca45ORCID,Finnie Thomas6,Cumming Fergus7,Keeling Matt J.238ORCID,Hill Edward M.23ORCID

Affiliation:

1. EPSRC & MRC Centre for Doctoral Training in Mathematics for Real-World Systems, University of Warwick, Coventry, UK

2. Mathematics Institute, University of Warwick, Coventry, UK

3. The Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, University of Warwick, Coventry, UK

4. School of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow, UK

5. MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK

6. Data, Analytics and Surveillance, UK Health Security Agency, London, UK

7. Foreign, Commonwealth and Development Office, London, UK

8. School of Life Sciences, University of Glasgow, Glasgow, UK

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.

Funder

Engineering and Physical Sciences Research Council

Medical Research Council

Chief Scientist Office

Publisher

The Royal Society

Reference215 articles.

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