Low validity of Google Trends for behavioral forecasting of national suicide rates
暂无分享,去创建一个
Ulrich S Tran | Martin Voracek | Vladeta Ajdacic-Gross | Thomas Niederkrotenthaler | Benedikt Till | M. Voracek | T. Niederkrotenthaler | B. Till | V. Ajdacic-Gross | U. Tran | Rita Andel | Rita Andel
[1] Florian Arendt,et al. Optimizing Online Suicide Prevention: A Search Engine-Based Tailored Approach , 2017, Health communication.
[2] A. Zeileis,et al. zoo: S3 Infrastructure for Regular and Irregular Time Series , 2005, math/0505527.
[3] Elizabeth Cummings. Trends in mental health googling , 2009 .
[4] H. Möller,et al. Suizidalität und Internet , 2006, Der Nervenarzt.
[5] P. Recupero,et al. Googling suicide: surfing for suicide information on the Internet. , 2008, The Journal of clinical psychiatry.
[6] A. Hagihara,et al. Internet suicide searches and the incidence of suicide in young people in Japan , 2011, European Archives of Psychiatry and Clinical Neuroscience.
[7] T. Niederkrotenthaler,et al. Surfing for suicide methods and help: content analysis of websites retrieved with search engines in Austria and the United States. , 2014, The Journal of clinical psychiatry.
[8] D. Lester,et al. Using google searches on the internet to monitor suicidal behavior. , 2013, Journal of affective disorders.
[9] I. Kawachi,et al. Rethinking Suicide Surveillance , 2016 .
[10] Diana Adler,et al. Using Multivariate Statistics , 2016 .
[11] David Gunnell,et al. Surveillance of Australian Suicidal Behaviour Using the Internet? , 2011, The Australian and New Zealand journal of psychiatry.
[12] 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.
[13] L. Harlow,et al. Big data in psychology: Introduction to the special issue. , 2016, Psychological methods.
[14] Johan Bollen,et al. Quantifying the effects of online bullishness on international financial markets , 2015 .
[15] J. Brownstein,et al. Digital disease detection--harnessing the Web for public health surveillance. , 2009, The New England journal of medicine.
[16] M. McCarthy,et al. Internet monitoring of suicide risk in the population. , 2010, Journal of affective disorders.
[17] Ś. Sen,et al. Use of Google Insights for Search to track seasonal and geographic kidney stone incidence in the United States. , 2011, Urology.
[18] Alexander Aue,et al. Applied Time Series Analysis , 2010 .
[19] Matthew Mohebbi,et al. Assessing Google Flu Trends Performance in the United States during the 2009 Influenza Virus A (H1N1) Pandemic , 2011, PloS one.
[20] Cécile Viboud,et al. Reassessing Google Flu Trends Data for Detection of Seasonal and Pandemic Influenza: A Comparative Epidemiological Study at Three Geographic Scales , 2013, PLoS Comput. Biol..
[21] K. Fu,et al. Accessing Suicide-Related Information on the Internet: A Retrospective Observational Study of Search Behavior , 2013, Journal of medical Internet research.
[22] David Gunnell,et al. Internet searches for a specific suicide method follow its high-profile media coverage. , 2011, The American journal of psychiatry.
[23] Matthew L. Martinich. Pew Research Center , 2019, Encyclopedia of Latin American Religions.
[24] K. Beullens,et al. The Swine Flu Emergency Department: The Relationship Between Media Attention for the Swine Flu and Registrations in an Emergency Medicine Unit , 2014, Prehospital and Disaster Medicine.
[25] H. Sueki. Does the volume of Internet searches using suicide‐related search terms influence the suicide death rate: Data from 2004 to 2009 in Japan , 2011, Psychiatry and clinical neurosciences.
[26] B. Tabachnick,et al. Using multivariate statistics, 5th ed. , 2007 .
[27] Gunther Eysenbach,et al. Infodemiology: Tracking Flu-Related Searches on the Web for Syndromic Surveillance , 2006, AMIA.
[28] C. Peng,et al. Association of Internet search trends with suicide death in Taipei City, Taiwan, 2004-2009. , 2011, Journal of affective disorders.
[29] P. Young,et al. Time series analysis, forecasting and control , 1972, IEEE Transactions on Automatic Control.
[30] Jörg Rech,et al. Discovering trends in software engineering with google trend , 2007, SOEN.
[31] Melonie P. Heron. Deaths: leading causes for 2008. , 2010, National vital statistics reports : from the Centers for Disease Control and Prevention, National Center for Health Statistics, National Vital Statistics System.
[32] 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.
[33] Guido Caldarelli,et al. Web Search Queries Can Predict Stock Market Volumes , 2011, PloS one.
[34] A. Dugas,et al. Google Flu Trends: correlation with emergency department influenza rates and crowding metrics. , 2011, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.
[35] Nicola Döring,et al. Forschungsmethoden und Evaluation in den Sozial- und Humanwissenschaften , 2016 .
[36] Jeremy Ginsberg,et al. Detecting influenza epidemics using search engine query data , 2009, Nature.
[37] Kung-Sik Chan,et al. Time Series Analysis: With Applications in R , 2010 .
[38] Wendy W. Chapman,et al. Analysis of Web Access Logs for Surveillance of Influenza , 2004, MedInfo.
[39] H. Varian,et al. Predicting the Present with Google Trends , 2012 .
[40] H. Varian,et al. Predicting the Present with Google Trends , 2009 .
[41] M. Santillana,et al. What can digital disease detection learn from (an external revision to) Google Flu Trends? , 2014, American journal of preventive medicine.
[42] Adekola O. Alao,et al. Cybersuicide: Review of the Role of the Internet on Suicide , 2006, Cyberpsychology Behav. Soc. Netw..
[43] C. Lahmann,et al. Schleudertrauma und Werther-Effekt – das Potenzial von Google Insights for Search für die medizinische Forschung und öffentliche Gesundheit , 2011 .
[44] D. Lazer,et al. The Parable of Google Flu: Traps in Big Data Analysis , 2014, Science.
[45] John Kalafat,et al. An evaluation of crisis hotline outcomes. Part 2: Suicidal callers. , 2007, Suicide & life-threatening behavior.
[46] Declan Butler,et al. When Google got flu wrong , 2013, Nature.
[47] Amanda Aitken Ba Pgce DipCouns. Suicide and the internet , 2009 .
[48] Juyoung Song,et al. Psychological and Social Factors Affecting Internet Searches on Suicide in Korea: A Big Data Analysis of Google Search Trends , 2013, Yonsei medical journal.
[49] J. V. Dijk,et al. The Digital Divide in Europe , 2007 .
[50] 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.
[51] David Gunnell,et al. Exposure to, and searching for, information about suicide and self-harm on the Internet: Prevalence and predictors in a population based cohort of young adults , 2015, Journal of affective disorders.
[52] T. Bruckner,et al. Google searches for suicide and risk of suicide. , 2014, Psychiatric services.
[53] E. Seifritz,et al. Understanding weekly cycles in suicide: an analysis of Austrian and Swiss data over 40 years , 2014, Epidemiology and Psychiatric Sciences.
[54] Christian Köhler,et al. What is the prevalence of health-related searches on the World Wide Web? Qualitative and quantitative analysis of search engine queries on the Internet , 2003, AMIA.
[55] Hajime Sueki Ma. Does the volume of Internet searches using suicide-related search terms influence the suicide death rate: Data from 2004 to 2009 in Japan , 2011 .
[56] VIviane Brunne,et al. Active ageing and solidarity between generations in Europe and beyond. A view from the United Nations Economic Commission for Europe , 2013 .
[57] H Eugene Stanley,et al. Complex dynamics of our economic life on different scales: insights from search engine query data , 2010, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[58] Matthias Bopp,et al. Methods of suicide: international suicide patterns derived from the WHO mortality database. , 2008, Bulletin of the World Health Organization.
[59] B. Barraclough,et al. Excess mortality of mental disorder , 1998, British Journal of Psychiatry.
[60] B. Breyer,et al. Use of Google in study of noninfectious medical conditions. , 2010, Epidemiology.
[61] A. Flahault,et al. More Diseases Tracked by Using Google Trends , 2009, Emerging infectious diseases.
[62] Ladislav Kristoufek,et al. Estimating suicide occurrence statistics using Google Trends , 2016, EPJ Data Science.