Communicating infectious disease prevalence through graphics: Results from an international survey

Vaccine. 2017 Jul 13;35(32):4041-4047. doi: 10.1016/j.vaccine.2017.05.048. Epub 2017 Jun 12.

Abstract

Background: Graphics are increasingly used to represent the spread of infectious diseases (e.g., influenza, Zika, Ebola); however, the impact of using graphics to adequately inform the general population is unknown.

Objective: To examine whether three ways of visually presenting data (heat map, dot map, or picto-trendline)-all depicting the same information regarding the spread of a hypothetical outbreak of influenza-influence intent to vaccinate, risk perception, and knowledge.

Design: Survey with participants randomized to receive a simulated news article accompanied by one of the three graphics that communicated prevalence of influenza and number of influenza-related deaths.

Setting: International online survey.

Participants: 16,510 adults living in 11 countries selected using stratified random sampling based on age and gender.

Measurements: After reading the article and viewing the presented graphic, participants completed a survey that measured interest in vaccination, perceived risk of contracting disease, knowledge gained, interest in additional information about the disease, and perception of the graphic.

Results: Heat maps and picto-trendlines were evaluated more positively than dot maps. Heat maps were more effective than picto-trendlines and no different from dot maps at increasing interest in vaccination, perceived risk of contracting disease, and interest in additional information about the disease. Heat maps and picto-trendlines were more successful at conveying knowledge than dot maps. Overall, heat maps were the only graphic to be superior in every outcome.

Limitations: Results are based on a hypothetical scenario.

Conclusion: Heat maps are a viable option to promote interest in and concern about infectious diseases.

Keywords: Communication; Graphics; Infectious disease; Influenza; Vaccination.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, N.I.H., Extramural

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Computer Graphics*
  • Female
  • Health Communication / methods*
  • Health Knowledge, Attitudes, Practice
  • Humans
  • Influenza Vaccines / administration & dosage*
  • Influenza, Human / epidemiology*
  • Influenza, Human / prevention & control
  • Male
  • Middle Aged
  • Prevalence
  • Surveys and Questionnaires
  • Vaccination Coverage
  • Young Adult

Substances

  • Influenza Vaccines