Your browser doesn't support javascript.
How to better communicate the exponential growth of infectious diseases.
Schonger, Martin; Sele, Daniela.
  • Schonger M; Lucerne School of Business, Hochschule Luzern, Lucerne, Switzerland.
  • Sele D; Center for Law and Economics, Department of Humanities, Social and Political Sciences, ETH Zurich, Zurich, Switzerland.
PLoS One ; 15(12): e0242839, 2020.
Article in English | MEDLINE | ID: covidwho-1456058
Preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See preprint
ABSTRACT
Exponential growth bias is the phenomenon whereby humans underestimate exponential growth. In the context of infectious diseases, this bias may lead to a failure to understand the magnitude of the benefit of non-pharmaceutical interventions. Communicating the same scenario in different ways (framing) has been found to have a large impact on people's evaluations and behavior in the contexts of social behavior, risk taking and health care. We find that framing matters for people's assessment of the benefits of non-pharmaceutical interventions. In two commonly used frames, most subjects in our experiment drastically underestimate the number of cases avoided by adopting non-pharmaceutical interventions. Framing growth in terms of doubling times rather than growth rates reduces the bias. When the scenario is framed in terms of time gained rather than cases avoided, the median subject assesses the benefit of non-pharmaceutical interventions correctly. These findings suggest changes that could be adopted to better communicate the exponential spread of infectious diseases.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Communicable Diseases / Communication Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials / Systematic review/Meta Analysis Limits: Humans Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2020 Document Type: Article Affiliation country: Journal.pone.0242839

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Communicable Diseases / Communication Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials / Systematic review/Meta Analysis Limits: Humans Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2020 Document Type: Article Affiliation country: Journal.pone.0242839