Risk Analysis

Frequency of Risk‐Related News Media Messages in 2016 Coverage of Zika Virus

Journal Article

  • Author(s): Tara Kirk Sell, Crystal Watson, Diane Meyer, Marissa Kronk, Sanjana Ravi, Laura E. Pechta, Keri M. Lubell, Dale A. Rose
  • Article first published online: 03 Jan 2018
  • DOI: 10.1111/risa.12961
  • Read on Online Library
  • Subscribe to Journal


News media plays a large role in the information the public receives during an infectious disease outbreak, and may influence public knowledge and perceptions of risk. This study analyzed and described the content of U.S. news media coverage of Zika virus and Zika response during 2016. A random selection of 800 Zika‐related news stories from 25 print and television news sources was analyzed. The study examined 24 different messages that appeared in news media articles and characterized them using theories of risk perception as messages with characteristics that could increase perception of risk (risk‐elevating messages; n = 14), messages that could decrease perception of risk (risk‐minimizing messages; n = 8), or messages about travel or testing guidance (n = 2). Overall, 96% of news stories in the study sample contained at least one or more risk‐elevating message(s) and 61% contained risk‐minimizing message(s). The frequency of many messages changed after local transmission was confirmed in Florida, and differed between sources in locations with or without local transmission in 2016. Forty percent of news stories included messages about negative potential outcomes of Zika virus infection without mentioning ways to reduce risk. Findings from this study may help inform current federal, state, and local Zika responses by offering a detailed analysis of how news media are covering the outbreak and response activities as well as identifying specific messages appearing more or less frequently than intended. Findings identifying the types of messages that require greater emphasis may also assist public health communicators in responding more effectively to future outbreaks.

Related Topics

Related Publications

Related Content

Site Footer


This website is provided by John Wiley & Sons Limited, The Atrium, Southern Gate, Chichester, West Sussex PO19 8SQ (Company No: 00641132, VAT No: 376766987)

Published features on StatisticsViews.com are checked for statistical accuracy by a panel from the European Network for Business and Industrial Statistics (ENBIS)   to whom Wiley and StatisticsViews.com express their gratitude. This panel are: Ron Kenett, David Steinberg, Shirley Coleman, Irena Ograjenšek, Fabrizio Ruggeri, Rainer Göb, Philippe Castagliola, Xavier Tort-Martorell, Bart De Ketelaere, Antonio Pievatolo, Martina Vandebroek, Lance Mitchell, Gilbert Saporta, Helmut Waldl and Stelios Psarakis.