Neural network models for influenza forecasting with associated uncertainty using Web search activity trends von Morris, Michael, Hayes, Peter, Cox, Ingemar J, Lampos, Vasileios

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Providing early indication of regional anomalies in COVID-19 case counts in England using search engine queries von Yom-Tov, Elad, Lampos, Vasileios, Inns, Thomas, Cox, Ingemar J., Edelstein, Michael

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Using online search activity for earlier detection of gynaecological malignancy von Barcroft, Jennifer F, Yom-Tov, Elad, Lampos, Vasilieos, Ellis, Laura Burney, Guzman, David, Ponce-López, Víctor, Bourne, Tom, Cox, Ingemar J, Saso, Srdjan

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Correction: Using online search activity for earlier detection of gynaecological malignancy von Barcroft, Jennifer F, Yom-Tov, Elad, Lampos, Vasileios, Ellis, Laura Burney, Guzman, David, Ponce-López, Víctor, Bourne, Tom, Cox, Ingemar J, Saso, Srdjan

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Detecting disease outbreaks in mass gatherings using Internet data von Yom-Tov, Elad, Borsa, Diana, Cox, Ingemar J, McKendry, Rachel A

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FindZebra: A search engine for rare diseases von Dragusin, Radu, Petcu, Paula, Lioma, Christina, Larsen, Birger, Jørgensen, Henrik L, Cox, Ingemar J, Hansen, Lars Kai, Ingwersen, Peter, Winther, Ole

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Digital technologies in the public-health response to COVID-19 von Budd, Jobie, Miller, Benjamin S., Manning, Erin M., Lampos, Vasileios, Zhuang, Mengdie, Edelstein, Michael, Rees, Geraint, Emery, Vincent C., Stevens, Molly M., Keegan, Neil, Short, Michael J., Pillay, Deenan, Manley, Ed, Cox, Ingemar J., Heymann, David, Johnson, Anne M., McKendry, Rachel A.

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The First 50 Years of Electronic Watermarking von Cox, Ingemar J., Miller, Matt L.

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Estimating the household secondary attack rate and serial interval of COVID-19 using social media von Dhiman, Aarzoo, Yom-Tov, Elad, Pellis, Lorenzo, Edelstein, Michael, Pebody, Richard, Hayward, Andrew, House, Thomas, Finnie, Thomas, Guzman, David, Lampos, Vasileios, Cox, Ingemar J.

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The added value of online user-generated content in traditional methods for influenza surveillance von Wagner, Moritz, Lampos, Vasileios, Cox, Ingemar J., Pebody, Richard

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Tracking COVID-19 using online search von Lampos, Vasileios, Majumder, Maimuna S., Yom-Tov, Elad, Edelstein, Michael, Moura, Simon, Hamada, Yohhei, Rangaka, Molebogeng X., McKendry, Rachel A., Cox, Ingemar J.

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Share mobile and social-media data to curb COVID-19 von McKendry, Rachel A., Rees, Geraint, Cox, Ingemar J., Johnson, Anne, Edelstein, Michael, Eland, Andrew, Stevens, Molly M., Heymann, David

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Estimating the Population Impact of a New Pediatric Influenza Vaccination Program in England Using Social Media Content von Wagner, Moritz, Lampos, Vasileios, Yom-Tov, Elad, Pebody, Richard, Cox, Ingemar J

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Assessing the impact of a health intervention via user-generated Internet content von Lampos, Vasileios, Yom-Tov, Elad, Pebody, Richard, Cox, Ingemar J.

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A review of statistical data association techniques for motion correspondence von COX, I. J

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Inferring the Socioeconomic Status of Social Media Users Based on Behaviour and Language von Lampos, Vasileios, Aletras, Nikolaos, Geyti, Jens K., Zou, Bin, Cox, Ingemar J.

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Using Perceptual Models to Improve Fidelity and Provide Resistance to Valumetric Scaling for Quantization Index Modulation Watermarking von Qiao Li, Cox, I.J.

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Automatic identification of Web-based risk markers for health events von Yom-Tov, Elad, Borsa, Diana, Hayward, Andrew C, McKendry, Rachel A, Cox, Ingemar J

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Google search patterns monitoring the daily health impact of heatwaves in England: How do the findings compare to established syndromic surveillance systems from 2013 to 2017? von Green, Helen K., Edeghere, Obaghe, Elliot, Alex J., Cox, Ingemar J., Morbey, Roger, Pebody, Richard, Bone, Angie, McKendry, Rachel A., Smith, Gillian E.

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Applying informed coding and embedding to design a robust high-capacity watermark von Miller, M.L., Doerr, G.J., Cox, I.J.

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