Using digital surveillance to examine the impact of public figure pancreatic cancer announcements on media and search query outcomes.

BACKGROUND Announcements of cancer diagnoses from public figures may stimulate cancer information seeking and media coverage about cancer. This study used digital surveillance to quantify the effects of pancreatic cancer public figure announcements on online cancer information seeking and cancer media coverage. METHODS We compiled a list of public figures (N = 25) who had been diagnosed with or had died from pancreatic cancer between 2006 and 2011. We specified interrupted time series models using data from Google Trends to examine search query shifts for pancreatic cancer and other cancers. Weekly media coverage archived on Google News were also analyzed. RESULTS Most public figures' pancreatic cancer announcements corresponded with no appreciable change in pancreatic cancer search queries or media coverage. In contrast, Patrick Swayze's diagnosis was associated with a 285% (95% confidence interval [CI]: 212 to 360) increase in pancreatic cancer search queries, though it was only weakly associated with increases in pancreatic cancer media coverage. Steve Jobs's death was associated with a 197% (95% CI: 131 to 266) increase in pancreatic cancer queries and a 3517% (95% CI: 2882 to 4492) increase in pancreatic cancer media coverage. In general, a doubling in pancreatic cancer-specific media coverage corresponded with a 325% increase in pancreatic cancer queries. CONCLUSION Digital surveillance is an important tool for future cancer control research and practice. The current application of these methods suggested that pancreatic cancer announcements (diagnosis or death) by particular public figures stimulated media coverage of and online information seeking for pancreatic cancer.

[1]  K. Viswanath,et al.  The communications revolution and cancer control , 2005, Nature Reviews Cancer.

[2]  William D. Berry,et al.  New Tools for Social Scientists: Advances and Applications in Research Methods , 1987 .

[3]  J. Brownstein,et al.  Digital disease detection--harnessing the Web for public health surveillance. , 2009, The New England journal of medicine.

[4]  J. Faraway Linear Models with R , 2014 .

[5]  A. Kavanagh,et al.  Use of breast cancer screening and treatment services by Australian women aged 25-44 years following Kylie Minogue's breast cancer diagnosis. , 2008, International journal of epidemiology.

[6]  Chris Chatfield,et al.  The Analysis of Time Series: An Introduction , 1981 .

[7]  S. Paranjothy,et al.  Impact of media reporting of cervical cancer in a UK celebrity on a population-based cervical screening programme , 2011, Journal of medical screening.

[8]  David L. Buckeridge,et al.  Information technology and global surveillance of cases of 2009 H1N1 influenza. , 2010, The New England journal of medicine.

[9]  J. Aucott,et al.  The utility of "Google Trends" for epidemiological research: Lyme disease as an example. , 2010, Geospatial health.

[10]  D. Cummings,et al.  Prediction of Dengue Incidence Using Search Query Surveillance , 2011, PLoS neglected tropical diseases.

[11]  Simon Chapman,et al.  Impact of news of celebrity illness on breast cancer screening: Kylie Minogue's breast cancer diagnosis , 2005, The Medical journal of Australia.

[12]  A. Flahault,et al.  More Diseases Tracked by Using Google Trends , 2009, Emerging infectious diseases.

[13]  C. Seale,et al.  The reporting of cervical cancer in the mass media: a study of UK newspapers. , 2011, European journal of cancer care.

[14]  J. A. Stockman Human Papillomavirus Vaccination Coverage on YouTube , 2010 .

[15]  M. Slater,et al.  News Coverage of Cancer in the United States: A National Sample of Newspapers, Television, and Magazines , 2008, Journal of health communication.

[16]  J. Goodwin,et al.  Effect of Nancy Reagan's mastectomy on choice of surgery for breast cancer by US women. , 1998, JAMA.

[17]  D. Metcalfe,et al.  Media coverage and public reaction to a celebrity cancer diagnosis. , 2011, Journal of public health.

[18]  M. Lewis-Beck Interrupted Time Series , 1986 .

[19]  Jessica Fitts Willoughby,et al.  Public Reaction to the Death of Steve Jobs: Implications for Cancer Communication , 2014, Journal of health communication.

[20]  J. Ayers,et al.  Seasonality in seeking mental health information on Google. , 2013, American journal of preventive medicine.

[21]  Alan F. Dutka,et al.  Fundamentals of data normalization , 1989 .

[22]  J. Brownstein,et al.  Assessing the Online Social Environment for Surveillance of Obesity Prevalence , 2013, PloS one.

[23]  Pengzhu Zhang,et al.  Health-Related Hot Topic Detection in Online Communities Using Text Clustering , 2013, PloS one.

[24]  J. Brownstein,et al.  Tracking the rise in popularity of electronic nicotine delivery systems (electronic cigarettes) using search query surveillance. , 2011, American journal of preventive medicine.

[25]  P. A. Blight The Analysis of Time Series: An Introduction , 1991 .

[26]  Jon-Patrick Allem,et al.  A Novel Evaluation of World No Tobacco Day in Latin America , 2012, Journal of medical Internet research.

[27]  John S. Brownstein,et al.  Using Search Query Surveillance to Monitor Tax Avoidance and Smoking Cessation following the United States' 2009 “SCHIP” Cigarette Tax Increase , 2011, PloS one.

[28]  D. Lane,et al.  The impact of media coverage of Nancy Reagan's experience on breast cancer screening. , 1989, American journal of public health.

[29]  K. Viswanath Science and society: the communications revolution and cancer control. , 2005, Nature reviews. Cancer.

[30]  Gary L. Kreps,et al.  Trust and sources of health information: the impact of the Internet and its implications for health care providers: findings from the first Health Information National Trends Survey. , 2005, Archives of internal medicine.

[31]  B. Hesse,et al.  Cancer-Related Information Seeking: Hints from the 2003 Health Information National Trends Survey (HINTS) , 2006, Journal of health communication.

[32]  J. Niederdeppe Beyond Knowledge Gaps: Examining Socioeconomic Differences in Response to Cancer News , 2008 .

[33]  Jeremy Ginsberg,et al.  Detecting influenza epidemics using search engine query data , 2009, Nature.

[34]  Gunther Eysenbach,et al.  Infodemiology and infoveillance tracking online health information and cyberbehavior for public health. , 2011, American journal of preventive medicine.

[35]  S. Noar,et al.  Public Figure Announcements About Cancer and Opportunities for Cancer Communication: A Review and Research Agenda , 2014, Health communication.

[36]  Jason Wittenberg,et al.  Making the Most Of Statistical Analyses: Improving Interpretation and Presentation , 2000 .

[37]  Míriam Antón-Rodríguez,et al.  A content analysis of chronic diseases social groups on Facebook and Twitter. , 2012, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[38]  M. Slater Operationalizing and Analyzing Exposure: The Foundation of Media Effects Research , 2004 .

[39]  M. Brown,et al.  The presidential effect: the public health response to media coverage about Ronald Reagan's colon cancer episode. , 1990, Public opinion quarterly.

[40]  S. Chapman,et al.  The newsworthiness of cancer in Australian television news , 2008, The Medical journal of Australia.

[41]  Adrian Benton,et al.  Online discussion of drug side effects and discontinuation among breast cancer survivors , 2013, Pharmacoepidemiology and drug safety.

[42]  W. Chou,et al.  Web 2.0 for health promotion: reviewing the current evidence. , 2013, American journal of public health.

[43]  Nancy Breen,et al.  Cancer Knowledge and Disparities in the Information Age , 2006, Journal of health communication.