TY - JOUR
T1 - Statistical Considerations when Communicating Health Risks
T2 - Experiences from Canada, Chile, Ecuador and England Facing COVID-19
AU - Bangdiwala, Shrikant I.
AU - Gómez, Andrea
AU - Monsalves, María José
AU - Palmeiro, Yasna
N1 - Publisher Copyright:
© 2021, Unisa Press. All rights reserved.
PY - 2021/12/1
Y1 - 2021/12/1
N2 - 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.
AB - 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.
KW - Coronavirus
KW - COVID-19
KW - Flattening the Curve
KW - Health Indicators
KW - Lockdown
KW - Pandemics
KW - Probability
KW - Risk Assessment
KW - SARS-CoV2
KW - Statistical Literacy
KW - Uncertainty
KW - Vital Statistics
UR - http://www.scopus.com/inward/record.url?scp=85187899196&partnerID=8YFLogxK
U2 - 10.25159/2957-3645/10332
DO - 10.25159/2957-3645/10332
M3 - Article
AN - SCOPUS:85187899196
SN - 2957-3645
VL - 19
SP - 52
EP - 79
JO - Social and Health Sciences
JF - Social and Health Sciences
IS - 1
ER -