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Detecting influenza epidemics using search engine query data

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  1. Hyun Baek & Sun-Kyoung Park, 2015. "Sustainable Development Plan for Korea through Expansion of Green IT: Policy Issues for the Effective Utilization of Big Data," Sustainability, MDPI, vol. 7(2), pages 1-21, January.
  2. Saiz, Albert & Salazar-Miranda, Arianna, 2023. "Understanding Urban Economies, Land Use, and Social Dynamics in the City: Big Data and Measurement," IZA Discussion Papers 16501, Institute of Labor Economics (IZA).
  3. Ricardo Baeza-Yates & Puneet Mohan Sangal & Pablo Villoslada, 2017. "Burden of neurological diseases in the US revealed by web searches," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-9, May.
  4. Jichang Dong & Wei Dai & Ying Liu & Lean Yu & Jie Wang, 2019. "Forecasting Chinese Stock Market Prices using Baidu Search Index with a Learning-Based Data Collection Method," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(05), pages 1605-1629, September.
  5. Nikolaos Askitas & Klaus F. Zimmermann, 2009. "Google Econometrics and Unemployment Forecasting," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 55(2), pages 107-120.
  6. M. Hubert & P. Rousseeuw & K. Vakili, 2014. "Shape bias of robust covariance estimators: an empirical study," Statistical Papers, Springer, vol. 55(1), pages 15-28, February.
  7. Zhongchen Song & Tom Coupé, 2023. "Predicting Chinese consumption series with Baidu," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 21(3), pages 429-463, July.
  8. Pi Guo & Tao Liu & Qin Zhang & Li Wang & Jianpeng Xiao & Qingying Zhang & Ganfeng Luo & Zhihao Li & Jianfeng He & Yonghui Zhang & Wenjun Ma, 2017. "Developing a dengue forecast model using machine learning: A case study in China," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 11(10), pages 1-22, October.
  9. Enrico di Bella & Lucia Leporatti & Filomena Maggino, 2018. "Big Data and Social Indicators: Actual Trends and New Perspectives," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(3), pages 869-878, February.
  10. John W Ayers & Kurt Ribisl & John S Brownstein, 2011. "Using Search Query Surveillance to Monitor Tax Avoidance and Smoking Cessation following the United States' 2009 “SCHIP” Cigarette Tax Increase," PLOS ONE, Public Library of Science, vol. 6(3), pages 1-7, March.
  11. Hangzhou Yang & Huiying Gao, 2018. "Toward Sustainable Virtualized Healthcare: Extracting Medical Entities from Chinese Online Health Consultations Using Deep Neural Networks," Sustainability, MDPI, vol. 10(9), pages 1-18, September.
  12. Miles Parker & Andrew Acland & Harry J Armstrong & Jim R Bellingham & Jessica Bland & Helen C Bodmer & Simon Burall & Sarah Castell & Jason Chilvers & David D Cleevely & David Cope & Lucia Costanzo & , 2014. "Identifying the Science and Technology Dimensions of Emerging Public Policy Issues through Horizon Scanning," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-17, May.
  13. Bradlow, Eric T. & Gangwar, Manish & Kopalle, Praveen & Voleti, Sudhir, 2017. "The Role of Big Data and Predictive Analytics in Retailing," Journal of Retailing, Elsevier, vol. 93(1), pages 79-95.
  14. Pennings, Clint L.P. & van Dalen, Jan & Rook, Laurens, 2019. "Coordinating judgmental forecasting: Coping with intentional biases," Omega, Elsevier, vol. 87(C), pages 46-56.
  15. Brenda Curtis & Salvatore Giorgi & Anneke E K Buffone & Lyle H Ungar & Robert D Ashford & Jessie Hemmons & Dan Summers & Casey Hamilton & H Andrew Schwartz, 2018. "Can Twitter be used to predict county excessive alcohol consumption rates?," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-16, April.
  16. Shota Saito & Yoshito Hirata & Kazutoshi Sasahara & Hideyuki Suzuki, 2015. "Tracking Time Evolution of Collective Attention Clusters in Twitter: Time Evolving Nonnegative Matrix Factorisation," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-17, September.
  17. David H Chae & Sean Clouston & Mark L Hatzenbuehler & Michael R Kramer & Hannah L F Cooper & Sacoby M Wilson & Seth I Stephens-Davidowitz & Robert S Gold & Bruce G Link, 2015. "Association between an Internet-Based Measure of Area Racism and Black Mortality," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-12, April.
  18. Liu, Qin & Wen, Xiaonan & Cao, Qinwei, 2023. "Multi-objective development path evolution of new energy vehicle policy driven by big data: From the perspective of economic-ecological-social," Applied Energy, Elsevier, vol. 341(C).
  19. Stefan Pichler & Nicolas R. Ziebarth, 2015. "The Pros and Cons of Sick Pay Schemes: Testing for Contagious Presenteeism and Shirking Behavior," Discussion Papers of DIW Berlin 1509, DIW Berlin, German Institute for Economic Research.
  20. Petutschnig, Matthias, 2017. "Future orientation and taxes: Evidence from big data," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 29(C), pages 14-31.
  21. Kong, Gaowen & Kong, Dongmin & Shi, Lu, 2022. "Sleeplessness in COVID-19 pandemic: Lockdown and anxiety," Journal of Asian Economics, Elsevier, vol. 80(C).
  22. Robin N Thompson & Christopher A Gilligan & Nik J Cunniffe, 2016. "Detecting Presymptomatic Infection Is Necessary to Forecast Major Epidemics in the Earliest Stages of Infectious Disease Outbreaks," PLOS Computational Biology, Public Library of Science, vol. 12(4), pages 1-18, April.
  23. Nathan, Max & Rosso, Anna, 2015. "Mapping digital businesses with big data: Some early findings from the UK," Research Policy, Elsevier, vol. 44(9), pages 1714-1733.
  24. Teresa K Yamana & Sasikiran Kandula & Jeffrey Shaman, 2017. "Individual versus superensemble forecasts of seasonal influenza outbreaks in the United States," PLOS Computational Biology, Public Library of Science, vol. 13(11), pages 1-17, November.
  25. Smales, L.A., 2021. "Investor attention and global market returns during the COVID-19 crisis," International Review of Financial Analysis, Elsevier, vol. 73(C).
  26. Tong Liu & Guojun He & Alexis Lau, 2018. "Avoidance behavior against air pollution: evidence from online search indices for anti-PM2.5 masks and air filters in Chinese cities," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(2), pages 325-363, April.
  27. Chundakkadan, Radeef & Nedumparambil, Elizabeth, 2022. "In search of COVID-19 and stock market behavior," Global Finance Journal, Elsevier, vol. 54(C).
  28. Oestmann Marco & Bennöhr Lars, 2015. "Determinants of house price dynamics. What can we learn from search engine data?," Review of Economics, De Gruyter, vol. 66(1), pages 99-127, April.
  29. Irresberger, Felix & Mühlnickel, Janina & Weiß, Gregor N.F., 2015. "Explaining bank stock performance with crisis sentiment," Journal of Banking & Finance, Elsevier, vol. 59(C), pages 311-329.
  30. Alles, Michael & Gray, Glen L., 2016. "Incorporating big data in audits: Identifying inhibitors and a research agenda to address those inhibitors," International Journal of Accounting Information Systems, Elsevier, vol. 22(C), pages 44-59.
  31. Jaroslav Pavlicek & Ladislav Kristoufek, 2015. "Nowcasting Unemployment Rates with Google Searches: Evidence from the Visegrad Group Countries," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-11, May.
  32. Xiaoli Wang & Shuangsheng Wu & C Raina MacIntyre & Hongbin Zhang & Weixian Shi & Xiaomin Peng & Wei Duan & Peng Yang & Yi Zhang & Quanyi Wang, 2015. "Using an Adjusted Serfling Regression Model to Improve the Early Warning at the Arrival of Peak Timing of Influenza in Beijing," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-14, March.
  33. Taixia Shen & Chao Wang, 2021. "Big Data Technology Applications and the Right to Health in China during the COVID-19 Pandemic," IJERPH, MDPI, vol. 18(14), pages 1-15, July.
  34. Véronique Flambard & Nicolas Vaillant & François-Charles Wolff, 2011. "Dating as Leisure," Chapters, in: Samuel Cameron (ed.), Handbook on the Economics of Leisure, chapter 9, Edward Elgar Publishing.
  35. van der Wielen, Wouter & Barrios, Salvador, 2021. "Economic sentiment during the COVID pandemic: Evidence from search behaviour in the EU," Journal of Economics and Business, Elsevier, vol. 115(C).
  36. Ishani Chaudhuri & Parthajit Kayal, 2022. "Predicting Power of Ticker Search Volume in Indian Stock Market," Working Papers 2022-214, Madras School of Economics,Chennai,India.
  37. Zhong, Lin-Feng & Shang, Ming-Sheng & Chen, Xiao-Long & Cai, Shi-Ming, 2018. "Identifying the influential nodes via eigen-centrality from the differences and similarities of structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 77-82.
  38. Yang, Xin & Pan, Bing & Evans, James A. & Lv, Benfu, 2015. "Forecasting Chinese tourist volume with search engine data," Tourism Management, Elsevier, vol. 46(C), pages 386-397.
  39. Mingxiao Dai, 2024. "How to Enhance Public Participation in Environmental Governance? Evidence from China," Sustainability, MDPI, vol. 16(8), pages 1-18, April.
  40. Castelnuovo, Efrem & Tran, Trung Duc, 2017. "Google It Up! A Google Trends-based Uncertainty index for the United States and Australia," Economics Letters, Elsevier, vol. 161(C), pages 149-153.
  41. Marianne Frisén, 2014. "Spatial outbreak detection based on inference principles for multivariate surveillance," IISE Transactions, Taylor & Francis Journals, vol. 46(8), pages 759-769, August.
  42. H. Andrew Schwartz & Lyle H. Ungar, 2015. "Data-Driven Content Analysis of Social Media," The ANNALS of the American Academy of Political and Social Science, , vol. 659(1), pages 78-94, May.
  43. Chauvet, Marcelle & Gabriel, Stuart & Lutz, Chandler, 2016. "Mortgage default risk: New evidence from internet search queries," Journal of Urban Economics, Elsevier, vol. 96(C), pages 91-111.
  44. Jukka Ruohonen & Sami Hyrynsalmi, 2017. "Evaluating the use of internet search volumes for time series modeling of sales in the video game industry," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(4), pages 351-370, November.
  45. Chiara Sotis, 2021. "How do Google searches for symptoms, news and unemployment interact during COVID-19? A Lotka–Volterra analysis of google trends data," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(6), pages 2001-2016, December.
  46. Luca Bonacini & Giovanni Gallo & Fabrizio Patriarca, 2021. "Identifying policy challenges of COVID-19 in hardly reliable data and judging the success of lockdown measures," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(1), pages 275-301, January.
  47. Jiachen Sun & Peter A. Gloor, 2021. "Assessing the Predictive Power of Online Social Media to Analyze COVID-19 Outbreaks in the 50 U.S. States," Future Internet, MDPI, vol. 13(7), pages 1-13, July.
  48. Malyy, Maksim & Tekic, Zeljko & Podladchikova, Tatiana, 2021. "The value of big data for analyzing growth dynamics of technology-based new ventures," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
  49. Tom Coupé, 2022. "Who is the most sought‐after economist? Ranking economists using Google Trends," Southern Economic Journal, John Wiley & Sons, vol. 89(2), pages 611-642, October.
  50. Wilde, Joshua & Chen, Wei & Lohmann, Sophie, 2020. "COVID-19 and the Future of US Fertility: What Can We Learn from Google?," IZA Discussion Papers 13776, Institute of Labor Economics (IZA).
  51. Kuchler, Theresa & Russel, Dominic & Stroebel, Johannes, 2022. "JUE Insight: The geographic spread of COVID-19 correlates with the structure of social networks as measured by Facebook," Journal of Urban Economics, Elsevier, vol. 127(C).
  52. Wei Chen & Yixin Lu & Liangfei Qiu & Subodha Kumar, 2021. "Designing Personalized Treatment Plans for Breast Cancer," Information Systems Research, INFORMS, vol. 32(3), pages 932-949, September.
  53. Konstantinos N. Konstantakis & Despoina Paraskeuopoulou & Panayotis G. Michaelides & Efthymios G. Tsionas, 2021. "Bank deposits and Google searches in a crisis economy: Bayesian non‐linear evidence for Greece (2009–2015)," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5408-5424, October.
  54. Markowitz, Sara & Nesson, Erik & Robinson, Joshua J., 2019. "The effects of employment on influenza rates," Economics & Human Biology, Elsevier, vol. 34(C), pages 286-295.
  55. Hasanzadeh, Samira & Alishahi, Modjgan, 2020. "COVID-19 Pounds: Quarantine and Weight Gain," MPRA Paper 103074, University Library of Munich, Germany.
  56. Jialiang Liu & Sumihiro Suzuki, 2022. "Real-Time Detection of Flu Season Onset: A Novel Approach to Flu Surveillance," IJERPH, MDPI, vol. 19(6), pages 1-9, March.
  57. Thiemo Fetzer & Lukas Hensel & Johannes Hermle & Christopher Roth, 2021. "Coronavirus Perceptions and Economic Anxiety," The Review of Economics and Statistics, MIT Press, vol. 103(5), pages 968–978-9, December.
  58. Bentzen, Jeanet Sinding, 2021. "In crisis, we pray: Religiosity and the COVID-19 pandemic," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 541-583.
  59. Fantazzini, Dean & Toktamysova, Zhamal, 2015. "Forecasting German car sales using Google data and multivariate models," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 97-135.
  60. Ma, Junzhao & Seenivasan, Satheesh & Yan, Bingyu, 2020. "Media influences on consumption trends: Effects of the film Food, Inc. on organic food sales in the U.S," International Journal of Research in Marketing, Elsevier, vol. 37(2), pages 320-335.
  61. Kholodilin, Konstantin A. & Siliverstovs, Boriss, 2012. "Measuring regional inequality by internet car price advertisements: Evidence for Germany," Economics Letters, Elsevier, vol. 116(3), pages 414-417.
  62. Han Wang & Geng Peng & Benfu Lv, 2018. "Effect of Retail Investor Attention on Chinas A-Share Market Under a Strengthening Financial Regulatory Policy," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 8(10), pages 1274-1297, October.
  63. Halousková, Martina & Stašek, Daniel & Horváth, Matúš, 2022. "The role of investor attention in global asset price variation during the invasion of Ukraine," Finance Research Letters, Elsevier, vol. 50(C).
  64. Jesse T. Richman & Ryan J. Roberts, 2023. "Assessing Spurious Correlations in Big Search Data," Forecasting, MDPI, vol. 5(1), pages 1-12, February.
  65. Nikoletta Poutachidou & Stephanos Papadamou, 2021. "The Effect of Quantitative Easing through Google Metrics on US Stock Indices," IJFS, MDPI, vol. 9(4), pages 1-19, October.
  66. Linus Schiöler & Marianne Fris�n, 2012. "Multivariate outbreak detection," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(2), pages 223-242, April.
  67. Anastasiou, Dimitris & Ballis, Antonis & Drakos, Konstantinos, 2022. "Constructing a positive sentiment index for COVID-19: Evidence from G20 stock markets," International Review of Financial Analysis, Elsevier, vol. 81(C).
  68. Sasikiran Kandula & Jeffrey Shaman, 2019. "Reappraising the utility of Google Flu Trends," PLOS Computational Biology, Public Library of Science, vol. 15(8), pages 1-16, August.
  69. Gordana Apic & Matthew J Betts & Robert B Russell, 2011. "Content Disputes in Wikipedia Reflect Geopolitical Instability," PLOS ONE, Public Library of Science, vol. 6(6), pages 1-5, June.
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  71. Park, Sungjun & Kim, Jinsoo, 2018. "The effect of interest in renewable energy on US household electricity consumption: An analysis using Google Trends data," Renewable Energy, Elsevier, vol. 127(C), pages 1004-1010.
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