Infodemiology to improve public health situational awareness: An investigation of 2010 pertussis outbreaks in California, Michigan and Ohio

[1]  N. Wilson,et al.  Interpreting Google flu trends data for pandemic H1N1 influenza: the New Zealand experience. , 2009, Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin.

[2]  Samuel L Groseclose,et al.  Evaluation of reporting timeliness of public health surveillance systems for infectious diseases , 2004, BMC public health.

[3]  Emily H. Chan,et al.  Global capacity for emerging infectious disease detection , 2010, Proceedings of the National Academy of Sciences.

[4]  J. Stryker,et al.  The HPV vaccine: a content analysis of online news stories. , 2009, Journal of women's health.

[5]  J. Crilly,et al.  Prediction and surveillance of influenza epidemics , 2011, The Medical journal of Australia.

[6]  Gary Klein,et al.  Sources of Power: How People Make Decisions , 2017 .

[7]  Dean F. Sittig,et al.  The emerging science of very early detection of disease outbreaks. , 2001, Journal of public health management and practice : JPHMP.

[8]  K. Wilson,et al.  An analysis of the Human Papilloma Virus vaccine debate on MySpace blogs. , 2010, Vaccine.

[9]  C. Peng,et al.  Do Seasons Have an Influence on the Incidence of Depression? The Use of an Internet Search Engine Query Data as a Proxy of Human Affect , 2010, PloS one.

[10]  M. Nasrullah,et al.  Newspaper reports: a source of surveillance for burns among women in Pakistan. , 2010, Journal of public health.

[11]  G. Gigerenzer.  Gut Feelings: The Intelligence of the Unconscious , 2007 .

[12]  Daniele Quercia,et al.  TweetLDA: supervised topic classification and link prediction in Twitter , 2012, WebSci '12.

[13]  Barbara Poblete,et al.  Do all birds tweet the same?: characterizing twitter around the world , 2011, CIKM '11.

[14]  C. Dolea,et al.  World Health Organization , 1949, International Organization.

[15]  L. Madoff,et al.  The internet and the global monitoring of emerging diseases: lessons from the first 10 years of ProMED-mail. , 2005, Archives of medical research.

[16]  Mark Dredze,et al.  You Are What You Tweet: Analyzing Twitter for Public Health , 2011, ICWSM.

[17]  A. Valdivia,et al.  Diseases Tracked by Using Google Trends, Spain , 2010, Emerging infectious diseases.

[18]  R. Benson,et al.  Media Systems Online and Off: Comparing the Form of News in the United States, Denmark, and France , 2012 .

[19]  Ponnurangam Kumaraguru,et al.  Credibility ranking of tweets during high impact events , 2012, PSOSM '12.

[20]  Spike Cramphorn.  Blink: The Power of Thinking without Thinking / Strangers to Ourselves: Discovering the Adaptive Unconscious , 2006, Journal of Advertising Research.

[21]  Ben Y. Reis,et al.  Measuring the impact of health policies using Internet search patterns: the case of abortion , 2010, BMC public health.

[22]  David M. Pennock,et al.  Using internet searches for influenza surveillance. , 2008, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[23]  L. Verbrugge,et al.  Death makes news: the social impact of disease on newspaper coverage. , 2000, Journal of health and social behavior.

[24]  Courtney Corley,et al.  Social Web mining and exploitation for serious applications: Technosocial Predictive Analytics and related technologies for public health, environmental and national security surveillance , 2010, Comput. Methods Programs Biomed..

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

[26]  Herman D. Tolentino,et al.  Use of Unstructured Event-Based Reports for Global Infectious Disease Surveillance , 2009, Emerging infectious diseases.

[27]  Brian K. Lee.  Epidemiologic research and Web 2.0--the user-driven Web. , 2010, Epidemiology.

[28]  Shane Marley,et al.  Control of Communicable Diseases Manual , 1997, Annals of Internal Medicine.

[29]  H. Hart.  How we decide , 2001, Developmental medicine and child neurology.

[30]  Sarah Vieweg,et al.  Situational Awareness in Mass Emergency: A Behavioral and Linguistic Analysis of Microblogged Communications , 2012 .

[31]  Christopher T. Leffler,et al.  Frequency and seasonal variation of ophthalmology-related internet searches. , 2010, Canadian journal of ophthalmology. Journal canadien d'ophtalmologie.

[32]  G. Eysenbach,et al.  Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak , 2010, PloS one.

[33]  Ben Y. Reis,et al.  Surveillance Sans Frontières: Internet-Based Emerging Infectious Disease Intelligence and the HealthMap Project , 2008, PLoS medicine.

[34]  J. Jones,et al.  Early Assessment of Anxiety and Behavioral Response to Novel Swine-Origin Influenza A(H1N1) , 2009, PloS one.

[35]  Russ Burtner,et al.  INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS REVIEW Open Access , 2022 .

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

[37]  Chenjie Xia,et al.  How Doctors Think , 2008, McGill Journal of Medicine : MJM.

[38]  A. Tversky,et al.  On the psychology of prediction , 1973 .

[39]  Jakob D. Jensen,et al.  Making Sense of Cancer News Coverage Trends: A Comparison of Three Comprehensive Content Analyses , 2010, Journal of health communication.

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

[41]  D. Cummings,et al.  Strategies for containing an emerging influenza pandemic in Southeast Asia , 2005, Nature.

[42]  E. Noji,et al.  (A335) Emergent use of Social Media: A New Age of Opportunity for Disaster Resilience , 2011, Prehospital and Disaster Medicine.

[43]  A. Hyder,et al.  Newspaper reports as a source for injury data in developing countries. , 2001, Health policy and planning.

[44]  Rizal Setya Perdana.  What is Twitter , 2013 .

[45]  Daniel J. Garland,et al.  Situation Awareness Analysis and Measurement , 2009 .

[46]  H. D. Wu.  Systemic determinants of international news coverage: a comparison of 38 countries , 2000 .

[47]  S. Groseclose,et al.  Completeness of notifiable infectious disease reporting in the United States: an analytical literature review. , 2002, American journal of epidemiology.

[48]  Michael Vitale,et al.  The Wisdom of Crowds , 2015, Cell.

[49]  Emily H. Chan,et al.  Participatory Epidemiology: Use of Mobile Phones for Community-Based Health Reporting , 2010, PLoS medicine.

[50]  Takeo Nakayama,et al.  Analysis of news of the Japanese asbestos panic: a supposedly resolved issue that turned out to be a time bomb. , 2007, Journal of public health.

[51]  Eleftherios Mylonakis,et al.  Google trends: a web-based tool for real-time surveillance of disease outbreaks. , 2009, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[52]  B. Lindsay.  Social Media and Disasters: Current Uses, Future Options, and Policy Considerations , 2011 .

[53]  Mark Dredze,et al.  How Social Media Will Change Public Health , 2012, IEEE Intelligent Systems.

[54]  Richard Capparra,et al.  The National Response Framework , 2009 .

[55]  P. Quénel,et al.  Sensitivity, specificity and predictive values of health service based indicators for the surveillance of influenza A epidemics. , 1994, International journal of epidemiology.

[56]  M. McCarthy,et al.  Internet monitoring of suicide risk in the population. , 2010, Journal of affective disorders.

[57]  Yevgeniy Elbert,et al.  Development and evaluation of a data-adaptive alerting algorithm for univariate temporal biosurveillance data. , 2009, Statistics in medicine.

[58]  John B. Horrigan,et al.  Pew Internet & American Life Project , 2002 .

[59]  Nigel Collier,et al.  What's unusual in online disease outbreak news? , 2010, J. Biomed. Semant..

[60]  A. Hulth,et al.  Web Queries as a Source for Syndromic Surveillance , 2009, PloS one.

[61]  J. Brownstein,et al.  Early detection of disease outbreaks using the Internet , 2009, Canadian Medical Association Journal.

[62]  W. Bennett.  News, the politics of illusion , 1983 .

[63]  Emily H. Chan,et al.  Using Web Search Query Data to Monitor Dengue Epidemics: A New Model for Neglected Tropical Disease Surveillance , 2011, PLoS neglected tropical diseases.

[64]  J S Brownstein,et al.  HealthMap: the development of automated real-time internet surveillance for epidemic intelligence. , 2007, Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin.

[65]  Michal Grivna,et al.  Drowning in a high-income developing country in the Middle East: newspapers as an essential resource for injury surveillance. , 2009, Journal of science and medicine in sport.

[66]  M. Vicente,et al.  Monitoring influenza activity in Europe with Google Flu Trends: comparison with the findings of sentinel physician networks - results for 2009-10. , 2010, Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin.

[67]  G. Rodier,et al.  Hot spots in a wired world: WHO surveillance of emerging and re-emerging infectious diseases. , 2001, The Lancet. Infectious diseases.

[68]  David L. Buckeridge,et al.  Methods Paper: Finding Leading Indicators for Disease Outbreaks: Filtering, Cross-correlation, and Caveats , 2007, J. Am. Medical Informatics Assoc..

[69]  Internet death notices as a novel source of mortality surveillance data. , 2007, American journal of epidemiology.

[70]  Homeland Security in Real-Time: The Power of the Public and Mobile Technology , 2011 .

[71]  Kenneth D. Mandl,et al.  HealthMap: Global Infectious Disease Monitoring through Automated Classification and Visualization of Internet Media Reports , 2008, Journal of the American Medical Informatics Association.

[72]  Susannah Fox,et al.  Twitter and status updating , 2009 .

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

[74]  Crystale Purvis Cooper,et al.  Cancer Internet Search Activity on a Major Search Engine, United States 2001-2003 , 2005, Journal of medical Internet research.

[75]  V JamesM.Wilson,et al.  A Heuristic Indication and Warning Staging Model for Detection and Assessment of Biological Events , 2008, Journal of the American Medical Informatics Association.

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

[77]  Paul Ormerod,et al.  A rapid method for assessing social versus independent interest in health issues: a case study of 'bird flu' and 'swine flu'. , 2010, Social science & medicine.

[78]  B. Breyer,et al.  Use of Google in study of noninfectious medical conditions. , 2010, Epidemiology.

[79]  J S Brownstein,et al.  Event-based biosurveillance of respiratory disease in Mexico, 2007-2009: connection to the 2009 influenza A(H1N1) pandemic? , 2010, Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin.

[80]  J. Linge,et al.  Internet surveillance systems for early alerting of health threats. , 2009, Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin.

[81]  J. Hawkins,et al.  On Intelligence , 2004 .

[82]  D. King,et al.  Deployment Stressors of the Iraq War , 2009, Journal of interpersonal violence.

[83]  Samuel L. Groseclose,et al.  Summary of Notifiable Diseases, United States. , 1997 .

[84]  Marissa L Iannarone,et al.  Media Reporting of the Emergence of the 1968 Influenza Pandemic in Hong Kong: Implications for Modern-day Situational Awareness , 2009, Disaster Medicine and Public Health Preparedness.

[85]  S. Miller,et al.  Control of communicable diseases. , 1949, The Journal-lancet.

[86]  Wendy W. Chapman,et al.  Analysis of Web Access Logs for Surveillance of Influenza , 2004, MedInfo.

[87]  Robert S. Radvanovsky,et al.  National Response Framework , 2009 .

[88]  K Wesolowski,et al.  Newspaper framing of fatal motor vehicle crashes in four Midwestern cities in the United States, 1999–2000 , 2004, Injury Prevention.

[89]  Tse-Hua Shih,et al.  Comparing Response Rates from Web and Mail Surveys: A Meta-Analysis , 2008 .

[90]  Adam Crowe,et al.  The social media manifesto: a comprehensive review of the impact of social media on emergency management. , 2011, Journal of business continuity & emergency planning.

[91]  E. Larson,et al.  Dissemination of health information through social networks: twitter and antibiotics. , 2010, American journal of infection control.

[92]  I. Couzin,et al.  Effective leadership and decision-making in animal groups on the move , 2005, Nature.

[93]  Christophe G. Giraud-Carrier,et al.  Identifying Health-Related Topics on Twitter - An Exploration of Tobacco-Related Tweets as a Test Topic , 2011, SBP.

[94]  David L. Buckeridge,et al.  Outbreak detection through automated surveillance: A review of the determinants of detection , 2007, J. Biomed. Informatics.

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

[96]  C. Watkins,et al.  The spread of awareness and its impact on epidemic outbreaks , 2009, Proceedings of the National Academy of Sciences.

[97]  S. Groseclose,et al.  The next public health revolution: public health information fusion and social networks. , 2010, American journal of public health.

[98]  Hosung Park,et al.  What is Twitter, a social network or a news media? , 2010, WWW '10.

[99]  A. Anderson,et al.  Bedbug infestations in the news: a picture of an emerging public health problem in the United States. , 2008, Journal of environmental health.