ArticleVaccine2017
Communicating infectious disease prevalence through graphics: Results from an international survey.
Article in Vaccine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Communicating about COVID-19 vaccine development and safety.PloS one · 2022Trial
- Place-based communication methods and prior knowledge increase public perceptions regarding West Nile virus risk and personal protective behaviors in Colorado.BMC public health · 2025Article
- Using Geovisualizations to Educate the Public About Environmental Health Hazards: What Works and Why.Current environmental health reports · 2024Review
- How people use information about changes in infections and disease prevalence.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2023Article
- Functionalized non-woven surfaces for combating the spread of the COVID-19 pandemic.Interface focus · 2022Article
- Needleless electrospun phytochemicals encapsulated nanofibre based 3-ply biodegradable mask for combating COVID-19 pandemic.Chemical engineering journal (Lausanne, Switzerland : 1996) · 2021Article
- Communicating Scientific Uncertainty About the COVID-19 Pandemic: Online Experimental Study of an Uncertainty-Normalizing Strategy.Journal of medical Internet research · 2021Article
- Exposure to Common Geographic COVID-19 Prevalence Maps and Public Knowledge, Risk Perceptions, and Behavioral Intentions.JAMA network open · 2021Article
- The attributes of the images representing the SARS-CoV-2 coronavirus affect people's perception of the virus.PloS one · 2021Article
- Prior Vaccination and Effectiveness of Communication Strategies Used to Describe Infectious Diseases.Emerging infectious diseases · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundGraphics 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.
objectiveTo 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.
designSurvey 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.
settingInternational online survey.
participants16,510 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.
resultsHeat 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.
conclusionHeat maps are a viable option to promote interest in and concern about infectious diseases.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.