Communicating risk and uncertainty in relation to development and implementation of disease control policies

2006 ◽  
Vol 112 (2-4) ◽  
pp. 259-264 ◽  
Author(s):  
D.U. Pfeiffer
2014 ◽  
Vol 79 (3) ◽  
pp. 1881-1900 ◽  
Author(s):  
Iulia Martina Bulai ◽  
Roberto Cavoretto ◽  
Bruna Chialva ◽  
Davide Duma ◽  
Ezio Venturino

2018 ◽  
Vol 31 (4) ◽  
pp. 547-561
Author(s):  
Tim Rakow ◽  
Emily Blackshaw ◽  
Christina Pagel ◽  
David S. Spiegelhalter

2020 ◽  
Vol 35 (1) ◽  
pp. 94-100
Author(s):  
Kathryn Lambrecht

Communicating risk amid moments of scientific ambiguity requires balance: Overdelivering certainty levels can cause undue alarm whereas underdelivering them can lead to increased public risk. Despite this complexity, risk assessment is an important decision-making tool. This article analyzes the circulation of the term “risk” in a corpus (74,804 words) of Centers for Disease Control and Prevention communications regarding COVID-19 from January 1 to April 30, 2020. Tracking collocations of the 147 instances of risk in this corpus reveals that experts initially framed risk away from individuals, complicating people’s differentiation between public and personal impacts. Recommendations are offered for how institutions can reframe subjectivity to promote vigilance during pandemics.


2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Riley O. Mummah ◽  
Nicole A. Hoff ◽  
Anne W. Rimoin ◽  
James O. Lloyd-Smith

Abstract Background For many emerging or re-emerging pathogens, cases in humans arise from a mixture of introductions (via zoonotic spillover from animal reservoirs or geographic spillover from endemic regions) and secondary human-to-human transmission. Interventions aiming to reduce incidence of these infections can be focused on preventing spillover or reducing human-to-human transmission, or sometimes both at once, and typically are governed by resource constraints that require policymakers to make choices. Despite increasing emphasis on using mathematical models to inform disease control policies, little attention has been paid to guiding rational disease control at the animal-human interface. Methods We introduce a modeling framework to analyze the impacts of different disease control policies, focusing on pathogens exhibiting subcritical transmission among humans (i.e. pathogens that cannot establish sustained human-to-human transmission). We quantify the relative effectiveness of measures to reduce spillover (e.g. reducing contact with animal hosts), human-to-human transmission (e.g. case isolation), or both at once (e.g. vaccination), across a range of epidemiological contexts. Results We provide guidelines for choosing which mode of control to prioritize in different epidemiological scenarios and considering different levels of resource and relative costs. We contextualize our analysis with current zoonotic pathogens and other subcritical pathogens, such as post-elimination measles, and control policies that have been applied. Conclusions Our work provides a model-based, theoretical foundation to understand and guide policy for subcritical zoonoses, integrating across disciplinary and species boundaries in a manner consistent with One Health principles.


2020 ◽  
Vol 42 (5) ◽  
pp. 559-561
Author(s):  
Susanna Priest ◽  
Jessica G. Myrick

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