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Previous research has demonstrated that various properties of infectious diseases can be inferred from online search behaviour.
Investigating causal relations by econometric models and cross-spectral methods
Granger, C. W. J · 1969
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Regularization and variable selection via the elastic net
Zou, H. & Hastie, T · 2005
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Gaussian Processes for Machine Learning (MIT Press, 2006)
Rasmussen, C. E. & Williams, C. K. I · 2006
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Using Internet Searches for Influenza Surveillance
Polgreen, P. M., Chen, Y., Pennock, D. M., Nelson, F. D. & Weinstein, R. A · 2008
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Detecting influenza epidemics using search engine query data
Ginsberg, J. et al · 2009
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Infodemiology and Infoveillance: Framework for an Emerging Set of Public Health Informatics Methods to Analyze Search, Communication and Publication Behavior on the Internet
Eysenbach, G · 2009
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Tracking the flu pandemic by monitoring the social web
Lampos, V. & Cristianini, N · 2010
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Towards detecting influenza epidemics by analyzing Twitter messages
Culotta, A · 2010
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Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak
Chew, C. & Eysenbach, G · 2010
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The Role of Health Anxiety in Online Health Information Search
Baumgartner, S. E. & Hartmann, T · 2011
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Nowcasting Events from the Social Web with Statistical Learning
Lampos, V. & Cristianini, N · 2012
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Predicting Depression via Social Media
Choudhury, M. D., Gamon, M., Counts, S. & Horvitz, E · 2013
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Reassessing Google Flu Trends Data for Detection of Seasonal and Pandemic Influenza: A Comparative Epidemiological Study at Three Geographic Scales
Olson, D. R., Konty, K. J., Paladini, M., Viboud, C. & Simonsen, L · 2013
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A user-centric model of voting intention from social media
Lampos, V., Preoţiuc-Pietro, D. & Cohn, T · 2013
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The Parable of Google Flu: Traps in Big Data Analysis
Lazer, D., Kennedy, R., King, G. & Vespignani, A · 2014
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Predicting and characterising user impact on twitter
Lampos, V., Aletras, N., Preoţiuc-Pietro, D. & Cohn, T · 2014
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Twitter Improves Influenza Forecasting
Paul, M. J., Dredze, M. & Broniatowski, D · 2014
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Advances in nowcasting influenza-like illness rates using search query logs
Lampos, V., Miller, A. C., Crossan, S. & Stefansen, C · 2015
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Accurate Estimation of Influenza Epidemics using Google Search Data via ARGO
Yang, S., Santillana, M. & Kou, S. C · 2015
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Assessing the impact of a health intervention via user-generated internet content
Lampos, V., Yom-Tov, E., Pebody, R. & Cox, I. J · 2015
Coronavirus Pandemic (COVID-19)
Max Roser, E. O.-O., Hannah Ritchie & Hasell, J · 2020
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Defining the Epidemiology of Covid-19 — Studies Needed
Lipsitch, M., Swerdlow, D. L. & Finelli, L · 2020
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A nationwide survey of psychological distress among Chinese people in the COVID-19 epidemic: implications and policy recommendations
Qiu, J. et al · 2020
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COVID-19 in Great Britain: epidemiological and clinical characteristics of the first few hundred (FF100) cases: a descriptive case series and case control analysis. [Preprint]
Boddington, N. L. et al · 2020
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The positive impact of lockdown in Wuhan on containing the COVID-19 outbreak in China
Lau, H. et al · 2020
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Managing COVID-19 in Low- and Middle-Income Countries
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Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance
Santillana, M. et al · 2015
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Crowdsourced health: How what you do on the Internet will improve medicine (MIT Press, 2016)
Yom-Tov, E · 2016
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Enhancing Feature Selection Using Word Embeddings: The Case of Flu Surveillance
Lampos, V., Zou, B. & Cox, I. J · 2017
Cited alongside, same era.
The added value of online user-generated content in traditional methods for influenza surveillance
Wagner, M., Lampos, V., Cox, I. J. & Pebody, R · 2018
Cited alongside, same era.
Multi-Task Learning Improves Disease Models from Web Search
Zou, B., Lampos, V. & Cox, I · 2018
Cited alongside, same era.
A collaborative multiyear, multimodel assessment of seasonal influenza forecasting in the United States
Reich, N. G. et al · 2019
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Hopman, J., Allegranzi, B. & Mehtar, S · 2020
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Preparedness and vulnerability of African countries against importations of COVID-19: a modelling study
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COVID-19 and Italy: what next?
Remuzzi, A. & Remuzzi, G · 2020
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Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study
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World Health Organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19)
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Variation in Government Responses to COVID-19
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Emergence of a Novel Coronavirus (COVID-19): Protocol for Extending Surveillance Used by the Royal College of General Practitioners Research and Surveillance Centre and Public Health England
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Quantifying the impact of physical distance measures on the transmission of COVID-19 in the UK
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