Public Understanding of Ebola Risks: Mastering an Unfamiliar Threat

Risk Analysis

Volumn 38, Issue 1, 2018, Pages 71-83

  Fischhoff, Baruch ^a   Wong Parodi, Gabrielle ^a   Garfin, Dana Rose ^b   Holman, E Alison ^c   Silver, Roxane Cohen ^b,d  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c University of California   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Decision making; judgment; probabilistic estimates

Indexed keywords

BEHAVIORAL RESEARCH; DECISION MAKING; DISEASES; SURVEYS;

JUDGMENT; POLITICAL IDEOLOGIES; PROACTIVE COMMUNICATIONS; PROBABILISTIC ESTIMATES; PUBLIC HEALTH POLICIES; PUBLIC UNDERSTANDING; REPRESENTATIVE SAMPLE; SCIENTIFIC KNOWLEDGE;

PUBLIC RISKS;

ATTITUDINAL SURVEY; BEHAVIORAL RESPONSE; DECISION MAKING; EBOLA VIRUS DISEASE; ESTIMATION METHOD; HEALTH POLICY; HEALTH RISK; INFORMATION; POLICY APPROACH; POLITICAL IDEOLOGY; PROBABILITY; PUBLIC ATTITUDE; PUBLIC HEALTH; RISK PERCEPTION; SOCIOECONOMIC STATUS;

UNITED STATES;

ATTITUDE TO HEALTH; COMPREHENSION; DECISION MAKING; EBOLA HEMORRHAGIC FEVER; EBOLAVIRUS; FEMALE; HUMAN; INTERPERSONAL COMMUNICATION; MALE; MASS MEDIUM; PATIENT EDUCATION; PROBABILITY; PSYCHOLOGY; RISK ASSESSMENT; UNITED STATES;

COMMUNICATION; COMPREHENSION; DECISION MAKING; EBOLAVIRUS; FEMALE; HEALTH KNOWLEDGE, ATTITUDES, PRACTICE; HEMORRHAGIC FEVER, EBOLA; HUMANS; JUDGMENT; MALE; MASS MEDIA; PATIENT EDUCATION AS TOPIC; PROBABILITY; RISK ASSESSMENT; UNITED STATES;

EID: 85020259263     PISSN: 02724332     EISSN: 15396924     Source Type: Journal    
DOI: 10.1111/risa.12794     Document Type: Article

References (58)

1. Pew Research Center. Ebola Ranks among Highest in News Interest Since 2010. 2014. 1615 L Street, NW, Suite 800 Washington, DC 20036: Pew Research Center. Available at: http://www.pewresearch.org/fact-tank/2014/10/21/ebola-ranks-among-highest-in-news-interest-since-2010/, Accessed July 7, 2015.
2. Campbell DT, Fiske DW. Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 1959; 56(2):81–105.
3. Fischhoff B, Parker AM, Bruine De Bruin W, Downs J, Palmgren C, Dawes R, Manski CF. Teen expectations for significant life events. Public Opinion Quarterly, 2000; 64(2):189–205.
4. U.S. Bureau of Labor Statistics. National Longitudinal Survey of Youth. Postal Square Building, 2 Massachusetts Avenue, NE Washington, DC 20212-0001: U.S. Bureau of Labor Statistics, 1997. Available at: https://www.bls.gov/nls.
5. Bruine de Bruin W, Fischhoff B, Brilliant L, Caruso D. Expert judgments of pandemic influenza risks. Global Public Health, 2006; 1(2):178–193.
6. Podsakoff PM, MacKenzie SB, Podsakoff NP. Sources of method bias in social science research and recommendations on how to control it. Annual Review of Psychology, 2012; 63(1):539–569.
7. Hurd MD, McGarry K. Evaluation of the subjective probabilities of survival in the Health and Retirement Study. The Journal of Human Resources, 1995; 30:S268–S292.
8. Manski CF. Public Policy in an Uncertain World Analysis and Decisions. Cambridge, MA: Harvard University Press, 2013.
9. Woloshin S, Schwartz LM, Byram S, Fischhoff B, Welch HG. A new scale for assessing perceptions of chance: A validation study. Medical Decision Making, 2000; 20(3):298–307.
10. Zafar B. Can subjective expectations data be used in choice models? Evidence on cognitive biases. Journal of Applied Econometrics, 2011; 26(3):520–544.
11. Wu H-C, Lindell MK, Prater CS, Samuelson CD. Effects of track and threat information on judgments of hurricane strike probability. Risk Analysis, 2014; 34(6):1025–1039.
12. Gregory R, Dieckmann N, Peters E, Failing L, Long G, Tusler M. Deliberative disjunction: Expert and public understanding of outcome uncertainty. Risk Analysis, 2012; 32(12):2071–2083.
13. Peters E. Beyond comprehension. Current Directions in Psychological Science, 2012; 21(1):31–35.
14. Holman EA, Garfin DR, Silver RC. Media's role in broadcasting acute stress following the Boston Marathon bombings. Proceedings of the National Academy of Sciences, 2014; 111(1):93–98.
15. Slovic P (ed). The Feeling of Risk: New Perspectives on Risk Perception. Abingdon, UK: Earthscan, 2010.
16. Hasher L, Zacks RT. Automatic processing of fundamental information: The case of frequency of occurrence. American Psychologist, 1984; 39(12):1372–1388.
17. Tversky A, Kahneman D. Availability: A heuristic for judging frequency and probability. Cognitive Psychology, 1973; 5(2):207–232.
18. Bruine de Bruin W, Bostrom A. Assessing what to address in science communication. Proceedings of the National Academy of Sciences, 2013; 110(Suppl 3):14062–14068.
19. Morgan MG, Fischhoff B, Bostrom A, Atman CJ. Risk Communication: A Mental Models Approach. Cambridge, UK: Cambridge University Press, 2002.
20. Hays RD, Liu H, Kapteyn A. Use of Internet panels to conduct surveys. Behavior Research Methods, 2015; 47(3):685–690.
21. Derogatis LR. Brief Symptom Inventory 18. Minneapolis, MN: Pearson, 2001.
22. Ware JE, Sherbourne CD. The MOS 36-item short-form health survey (SF-36): I. Conceptual framework and item selection. Medical Care, 1992; 30(6):473–483.
23. Holman EA, Silver RC, Poulin M, Andersen J, Gil-Rivas V, McIntosh DN. Terrorism, acute stress, and cardiovascular health: A 3-year national study following the September 11th attacks. Archives of General Psychiatry, 2008; 65(1):73–80.
24. Silver RC, Holman EA, Andersen JP, Poulin M, McIntosh DN, Gil-Rivas V. Mental- and physical-health effects of acute exposure to media images of the September 11, 2001, attacks and the Iraq War. Psychological Science, 2013; 24(9):1623–1634.
25. Bruine de Bruin W, Fischhoff B, Millstein SG, Halpern-Felsher BL. Verbal and numerical expressions of probability: “It's a fifty–fifty chance.” Organizational Behavior and Human Decision Processes, 2000; 81(1):115–131.
26. Fischhoff B, Bruine De Bruin W. Fifty-Fifty=50%? Journal of Behavioral Decision Making, 1999; 12(2):149–163.
27. Bruine de Bruin W, Fischbeck PS, Stiber NA, Fischhoff B. What number is "Fifty-Fifty": Redistributing excessive 50% responses in elicited probabilities. Risk Analysis, 2002; 22(4):713–723.
28. Gaudino JA, Robison S. Risk factors associated with parents claiming personal-belief exemptions to school immunization requirements: Community and other influences on more skeptical parents in Oregon, 2006. Vaccine, 2012; 30(6):1132–1142.
29. Smith PJ, Humiston SG, Marcuse EK, Zhao Z, Dorell CG, Howes C, Hibbs B. Parental delay or refusal of vaccine doses, childhood vaccination coverage at 24 months of age, and the Health Belief Model. Public Health Reports, 2011; 126(Suppl):135–146.
30. Gilkey MB, McRee A-L, Brewer NT. Forgone vaccination during childhood and adolescence: Findings of a statewide survey of parents. Preventive Medicine, 2013; 56(3–4):202–206.
31. Lavail KH, Kennedy AM. The role of attitudes about vaccine safety, efficacy, and value in explaining parents’ reported vaccination behavior. Health Education & Behavior, 2013; 40(5):544–551.
32. Gust DA. Underimmunization among children: Effects of vaccine safety concerns on immunization status. Pediatrics, 2004; 114(1):e16–e22.
33. Centers for Disease Control and Prevention. Seasonal Influenza, More Information. Atlanta, GA: Centers for Disease Control and Prevention, 2016. Available at: https://www.cdc.gov/flu/about/qa/disease.htm, Accessed July 13, 2016.
34. Jutel A, Banister E. “I was pretty sure I had the flu”: Qualitative description of confirmed-influenza symptoms. Social Science & Medicine, 2013; 99:49–55.
35. Bruine de Bruin W, Fischhoff B, Halper-Felsher B, Millstein S. Expressing epistemic uncertainty: It's a fifty-fifty chance. Organizational Behavior and Human Decision Processes, 2000; 81(1):115–131.
36. Shepperd JA, Waters EA, Weinstein ND, Klein WMP. A primer on unrealistic optimism. Current Directions in Psychological Science, 2015; 24(3):232–237.
37. Quadrel MJ, Fischhoff B, Davis W. Adolescent (in)vulnerability. American Psychologist, 1993; 48(2):102–116.
38. Althaus CL. Estimating the reproduction number of Ebola virus (EBOV) during the 2014 outbreak in West Africa. PLoS Currents Outbreaks, 2014; 1. https://doi.org/10.1371/currents.outbreaks.91afb5e0f279e7f29e7056095255b288.
39. Beall AT, Hofer MK, Schaller M. Infections and elections: Did an Ebola outbreak influence the 2014 U.S. Federal Elections (and if so, how)? Psychological Science, 2016; 27(5):595–605.
40. Breakwell GM. The Psychology of Risk. Cambridge, UK: Cambridge University Press, 2007.
41. Fischhoff B, Davis AL. Communicating scientific uncertainty. Proceedings of the National Academy of Sciences, 2014; 111(Suppl 4):13664–13671.
42. Fischhoff B. The sciences of science communication. Proceedings of the National Academy of Sciences, 2013; 110(Suppl 3):14033–14039.
43. Fischhoff B, Kadvany J. Risk. Oxford, UK: Oxford University Press, 2011.
44. Hurd MD, McGarry K. The predictive validity of subjective probabilities of survival. The Economic Journal, 2002; 112(482):966–985.
45. Mellers B, Stone E, Murray T, Minster A, Rohrbaugh N, Bishop M, Chen E, Baker J, Hou Y, Horowitz M, Ungar L, Tetlock P. Identifying and cultivating superforecasters as a method of improving probabilistic predictions. Perspectives on Psychological Science, 2015; 10(3):267–281.
46. Morgan MG. Use (and abuse) of expert elicitation in support of decision making for public policy. Proceedings of the National Academy of Sciences of the United States of America, 2014; 111(20):7176–7184.
47. Anthony O'Hagan, Buck CE, Daneshkhah A, Eiser JR, Garthwaite PH, Jenkinson DJ, Oakley JE, Rakow T. Uncertain Judgments: Eliciting Experts’ Probabilities. Hoboken, NJ: Wiley, 2006.
48. Meyer D, Leventhal H, Gutmann M. Common-sense models of illness: The example of hypertension. Health Psychology, 1985; 4(2):115–135.
49. Schwartz LM, Woloshin S. The Drug Facts Box: Improving the communication of prescription drug information. Proceedings of the National Academy of Sciences of the United States of America, 2013; 110(Suppl 3):14069–14074.
50. Woloshin S, Schwartz LM, Welch HG. Know Your Chances. Oakland, CA: University of California Press, 2008.
51. Yang ZJ. Altruism during Ebola: Risk perception, issue salience, cultural cognition, and information processing. Risk Analysis, 2016; 36(6):1079–1089.
52. Prati G, Pietrantoni L. Knowledge, risk perceptions, and xenophobic attitudes: Evidence from Italy during the Ebola outbreak. Risk Analysis, 2016; 36(10):2000–2010.
53. Rübsamen N, Castell S, Horn J, Karch A, Ott JJ, Raupach-Rosin H, Zoch B, Krause G, Mikolajczyk RT. Ebola risk perception in Germany, 2014. Emerging Infectious Diseases, 2015; 21(6):1012–1018.
54. Gesser-Edelsburg A, Shir-Raz Y, Hayek S, Sassoni-Bar Lev O. What does the public know about Ebola? The public's risk perceptions regarding the current Ebola outbreak in an as-yet unaffected country. American Journal of Infection Control, 2015; 43(7):669–675.
55. Petrie KJ, Faasse K, Thomas MG. Public perceptions and knowledge of the Ebola virus, willingness to vaccinate, and likely behavioral responses to an outbreak. Disaster Medicine and Public Health Preparedness, 2016; 10(4):674–680.
56. Fischhoff B. The real world: What good is it? Organizational Behavior and Human Decision Processes, 1996; 65(3):232–248.
57. Fischhoff B. What forecasts (seem to) mean. International Journal of Forecasting, 1994; 10(3):387–403.
58. Schwarz N. Self reports: How questions shape the answers. American Psychologist, 1999; 54(2):93–105.