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dc.contributor.author Bangdiwala, Shrikant I.
dc.contributor.author Gómez, Andrea
dc.contributor.author Monsalves, María José
dc.contributor.author Palmeiro, Yasna
dc.date.accessioned 2024-09-12T03:43:35Z
dc.date.available 2024-09-12T03:43:35Z
dc.date.issued 2021-12-01
dc.identifier.issn 2957-3645
dc.identifier.uri https://repositorio.uss.cl/handle/uss/11678
dc.description Publisher Copyright: © 2021, Unisa Press. All rights reserved.
dc.description.abstract Communicating statistics in health risk communication is a fundamental part of managing public health emergencies. Effective communication requires careful planning and the anticipation of possible information demands from the population. The information should be clear, relevant, easy to understand, timely, accurate and precise, allowing the public to make informed decisions about protective behaviours. COVID-19, being a new disease, with little known about its characteristics and effects, has challenged governments and healthcare systems in all countries. This article discusses the statistical issues involved, and the experiences of risk communication in four countries – Canada, Chile, Ecuador and England. These countries have communicated risks differently, partly because of their different healthcare systems, as well as socioeconomic, cultural and political realities. During a pandemic, health authorities and governments must step up to the challenge of communicating statistical information under pressure and with urgency, when little is known about the disease, the situation is dynamic and evolving, and the general public is gripped with fear and anxiety. This is in addition to the existing challenges relating to the generation of data of different quality by diverse sources, and a public with varying levels of statistical literacy. From a statistical perspective, communiqués about risks and numbers should convey the uncertainty there is about the information, the inherent variabilities in the system, the precision and accuracy of estimates and the assumptions behind projections. Complex technical concepts, such as ‘flattening the curve’, ‘range in risk estimates’ and ‘projected trends,’ should be explained. en
dc.language.iso eng
dc.relation.ispartof vol. 19 Issue: no. 1 Pages: 52-79
dc.source Social and Health Sciences
dc.title Statistical Considerations when Communicating Health Risks : Experiences from Canada, Chile, Ecuador and England Facing COVID-19 en
dc.type Artículo
dc.identifier.doi 10.25159/2957-3645/10332
dc.publisher.department Facultad de Medicina y Ciencia


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