10 resultsInterpretationInterpretation: what the public already know, want to know and need to know, about their personal risks from COVID-19This Interpretation is based on work published in: https://doi.org/10.1098/rsos.201721 The interviews and the survey responses combined help give us an overall view of the public’s information needs regarding their personal COVID-19 risk, as of July 2020.The majority of participants clearly showed a desire for quantitative information about COVID-19 (much of which...Published 2 years ago, by A. Freeman, J. Kerr, A. Lawrence, G. Recchia, C. Schneider, S. Dryhurst, L. Finikarides, G. LuoniAnalysisAnalysis of survey findings: what the public already know, want to know and need to know, about their personal risks from COVID-19Description of survey responses of members of the UK public to opinion questions about risks posed by COVID-19, and desire for information about this riskPublished 3 years ago, by G. RecchiaResultsResults of surveys: finding out what the public already know, want to know and need to know, about their personal risks from COVID-19These Results are based on work published in: https://doi.org/10.1098/rsos.201721 This study was approved by the Psychological Research Ethics Committee at the University of Cambridge (PRE.2020.070).All stages of the study were carried out between the 3 June 2020 and 23 July 2020.The questions were split over four different surveys carried out with members of the p...Published 3 years ago, by A. Freeman, J. Kerr, G. Recchia, C. Schneider, S. DryhurstInterpretationInterpretation of an analysis of the effects of different numerical formats on people’s perception of their risk of dying from COVID-19This Interpretation is based on work published in: https://doi.org/10.1098/rsos.201721 The analysis of the data - from 2,500 members of the UK general public who were asked to rate how risky they felt five different numerical risk levels were (0.1%, 1%, 5%, 12%, 20%) when presented to them in a random order - confirms the collected findings of previous studies. The...Published 3 years ago, by S. Dryhurst, C. Schneider, J. Kerr, G. RecchiaMethodMethod for online surveys to find out what the public already know, want to know and need to know, about their personal risks from COVID-19This Method is based on work published in: https://doi.org/10.1098/rsos.201721 A combination of in depth qualitative interviews and large-scale quantitative surveys are ideal for gaining insights into people’s understanding of a topic such as their risk from COVID-19, and their information needs.Quantitative surveys can give broad insights into opinions across a po...Published 3 years ago, by A. Freeman, C. Schneider, J. Kerr, G. Recchia, S. DryhurstRationale / HypothesisFinding out what the public already know, and want to know, about their personal risks from COVID-19This Hypothesis/Theoretical rationale is based on work published in: https://doi.org/10.1098/rsos.201721One method of approaching risk communication is the ‘mental models’ approach, whereby researchers use both qualitative and quantitative methods to build up an understanding of the audience’s intuitive model of causality in a situation, as well as the probabilitie...Published 3 years ago, by A. Freeman, J. Kerr, G. Recchia, S. Dryhurst, C. Schneider, A. LawrenceResultsResults of testing the effects of different numerical formats on people’s perception of their risk of dying from COVID-19These Results are based on work published in: https://doi.org/10.1098/rsos.201721The data from this experiment is available in the Open Science Framework repository: https://doi.org/10.17605/OSF.IO/AUF8H Survey 4.This study was approved by the Psychology Research Ethics Committee at the University of Cambridge (PRE.2020.070).The survey was carried out online, with...Published 3 years ago, by A. Freeman, J. Kerr, C. Schneider, G. Recchia, S. DryhurstMethodTesting the effects of different numerical formats on people’s perception of their risk of dying from COVID-19This Method is based on work published in: https://doi.org/10.1098/rsos.201721This method was pre-registered before data was collected, at: https://doi.org/10.17605/OSF.IO/RDTC4 Participants will be asked to imagine they have received a personalised estimate of their risk of dying if infected with COVID-19. They will be asked ‘How would you classify that risk in yo...Published 3 years ago, by A. Freeman, C. Schneider, G. Recchia, J. KerrResearch ProblemWhat information do the public need and want to know about their personal risk from COVID-19?This Problem is based on work published in: https://doi.org/10.1098/rsos.201721Different communicators might have different aims when approaching the communication of personalized risk from COVID-19. Some may feel it important to encourage people to take mitigating actions, and hence to ensure that risks are perceived as relatively high to increase motivation [1,2]...Published 3 years ago, by A. Freeman, J. Kerr, G. Recchia, S. Dryhurst, A. Lawrence, C. SchneiderResearch ProblemWhen presenting people with their personal risk from COVID-19, what format should they be shown the numbers in?This Problem is based on work published in: https://doi.org/10.1098/rsos.201721Probabilistic information can be represented numerically in different ways, and research has shown that these different formats can affect the perception of likelihoods as well as affecting the ease with which people can make mental comparisons and manipulations of the information [1-5....Published 3 years ago, by A. Freeman, G. Recchia, S. Dryhurst, J. Kerr, C. Schneider