Evidence map›Paper›PMID 38835247›Full record

ArticleJournal of the Royal Society, Interface2024

A behaviour and disease transmission model: incorporating the Health Belief Model for human behaviour into a simple transmission model.

Matthew Ryan, Emily Brindal, Mick Roberts, Roslyn I Hickson

Abstract read
In one paragraph

Article 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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

4 authors.

Matthew RyanCommonwealth Scientific and Industrial Research Organisation (CSIRO) , Adelaide, Australia.ORCID 0000-0003-2373-4384
Emily BrindalCommonwealth Scientific and Industrial Research Organisation (CSIRO) , Adelaide, Australia.
Mick RobertsNew Zealand Institute for Advanced Study, Massey University , Auckland, New Zealand.ORCID 0000-0003-2693-5093
Roslyn I HicksonCommonwealth Scientific and Industrial Research Organisation (CSIRO) , Adelaide, Australia.ORCID 0000-0001-6453-7745

Funding

Marsden Fund
6 · The paper itself

Abstract

The health and economic impacts of infectious diseases such as COVID-19 affect all levels of a community from the individual to the governing bodies. However, the spread of an infectious disease is intricately linked to the behaviour of the people within a community since crowd behaviour affects individual human behaviour, while human behaviour affects infection spread, and infection spread affects human behaviour. Capturing these feedback loops of behaviour and infection is a well-known challenge in infectious disease modelling. Here, we investigate the interface of behavioural science theory and infectious disease modelling to explore behaviour and disease (BaD) transmission models. Specifically, we incorporate a visible protective behaviour into the susceptible-infectious-recovered-susceptible (SIRS) transmission model using the socio-psychological Health Belief Model to motivate behavioural uptake and abandonment. We characterize the mathematical thresholds for BaD emergence in the BaD SIRS model and the feasible steady states. We also explore, under different infectious disease scenarios, the effects of a fully protective behaviour on long-term disease prevalence in a community, and describe how BaD modelling can investigate non-pharmaceutical interventions that target-specific components of the Health Belief Model. This transdisciplinary BaD modelling approach may reduce the health and economic impacts of future epidemics.

Indexed as

COVID-19SARS-CoV-2Health BehaviorHealth Belief ModelHumansbehaviour modellingepidemiologyHealth Belief Modeltransmission modelling

Identifiers

PMID38835247
PMCPMC11338573

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.