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Table 1 Final inclusion/exclusion criteria used for record screening

From: Infection prevention behaviour and infectious disease modelling: a review of the literature and recommendations for the future

Include Exclude
Include only articles that focus on human to human transmission Exclude all articles that do not focus on human to human transmission (e.g., vector-borne)
Include articles with a focus on self-prevention behaviour (i.e., preventing one’s own infection) in response to an outbreak/epidemic (including parental decision making) Exclude articles that focus on behaviour concerned with infection risk in other-individuals (i.e., preventing others from being infected, possibly by the self)
Include articles that endogenously model behavioura Exclude articles concerned with exogenous behaviour change (e.g., an intervention) unless the behaviour is mediated by other factors that change/respond within the model (e.g., age, risk preferences, etc.)
Include articles that incorporate individual level behavioural elements (e.g., decision making) Exclude ‘population models’ in which behaviour is universal (i.e., determined by a specific exogenous parameter) within a given group.
Include articles employing a mathematical transmission model or modelling component to represent behaviour change Exclude articles using only statistical/econometric models (e.g., regression analyses, and related approaches)
Include articles that are published in peer reviewed academic journals Exclude conference proceedings, posters, grey literature.
Include articles presenting a novel mathematical model Exclude review articles
Include only articles written in the English language Exclude all non-English language articles
  1. aSimply including a single static parameter value for behaviour change (e.g., a wholesale change from X to Y transmission rate or a static rate of behaviour change of X% when prevalence reaches a certain threshold value or an intervention is implemented) employed uniformly was not counted as endogenous behaviour change in the model