Toggle Main Menu Toggle Search

Open Access padlockePrints

A risk-risk tradeoff approach for incorporating the public’s risk perceptions into quantitative microbial risk assessment.

Lookup NU author(s): Professor Susan ChiltonORCiD

Downloads


Licence

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Abstract

In public health, risk experts often define acceptable risk targets without community input. We developed a novel method for applying behavioral microeconomics to integrate individuals’ risk preferences into risk assessment. To demonstrate this methodology, we explored a risk-risk tradeoff case scenario: increased asthma risk from increased cleaning and disinfection (C&D) and increased infection risk from decreased C&D for healthcare staff. Utilizing a risk-risk tradeoff (RRTO) framework, two datasets were informed with RRTO survey data describing the risks individuals would accept for one outcome to offset risk in another (i.e., “risk target”). A quantitative microbial risk assessment (QMRA) was deployed to output “critical concentrations,” viral concentrations on surfaces that yield risk targets for a single contaminated surface touch and a work shift. Critical concentrations were over four orders of magnitude larger for single-touch scenarios. Critical concentrations across risk target datasets were similar. Using the RRTO framework to inform QMRA advances the incorporation of individuals’ risk preferences in risk analyses outside economics.


Publication metadata

Author(s): Wilson AM, Mussio I, Verhougstraete MP, Jung Y, Ashraf A, Chilton S, Hamilton KA

Publication type: Article

Publication status: Published

Journal: Journal of Occupational and Environmental Hygiene

Year: 2025

Volume: 22

Issue: 2

Pages: 132–148

Online publication date: 02/01/2025

Acceptance date: 17/10/2024

Date deposited: 26/06/2025

ISSN (print): 1545-9624

ISSN (electronic): 1545-9632

Publisher: Taylor and Francis

URL: https://doi.org/10.1080/15459624.2024.2423756

DOI: 10.1080/15459624.2024.2423756


Altmetrics

Altmetrics provided by Altmetric


Share