Global Disease Monitoring and Forecasting with Wikipedia
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DOI: 10.1371/journal.pcbi.1003892
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References listed on IDEAS
- Jim Giles, 2005. "Internet encyclopaedias go head to head," Nature, Nature, vol. 438(7070), pages 900-901, December.
- Alan D. Lopez & Colin D. Mathers & Majid Ezzati & Dean T. Jamison & Christopher J. L. Murray, 2006. "Global Burden of Disease and Risk Factors," World Bank Publications - Books, The World Bank Group, number 7039.
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- Samuel V Scarpino & James G Scott & Rosalind M Eggo & Bruce Clements & Nedialko B Dimitrov & Lauren Ancel Meyers, 2020. "Socioeconomic bias in influenza surveillance," PLOS Computational Biology, Public Library of Science, vol. 16(7), pages 1-19, July.
- Logan C Brooks & David C Farrow & Sangwon Hyun & Ryan J Tibshirani & Roni Rosenfeld, 2018. "Nonmechanistic forecasts of seasonal influenza with iterative one-week-ahead distributions," PLOS Computational Biology, Public Library of Science, vol. 14(6), pages 1-29, June.
- 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).
- Zeynep Ertem & Dorrie Raymond & Lauren Ancel Meyers, 2018. "Optimal multi-source forecasting of seasonal influenza," PLOS Computational Biology, Public Library of Science, vol. 14(9), pages 1-16, September.
- Ibrahim Musa & Hyun Woo Park & Lkhagvadorj Munkhdalai & Keun Ho Ryu, 2018. "Global Research on Syndromic Surveillance from 1993 to 2017: Bibliometric Analysis and Visualization," Sustainability, MDPI, vol. 10(10), pages 1-20, September.
- Dave Osthus & Ashlynn R Daughton & Reid Priedhorsky, 2019. "Even a good influenza forecasting model can benefit from internet-based nowcasts, but those benefits are limited," PLOS Computational Biology, Public Library of Science, vol. 15(2), pages 1-19, February.
- Svitlana Volkova & Ellyn Ayton & Katherine Porterfield & Courtney D Corley, 2017. "Forecasting influenza-like illness dynamics for military populations using neural networks and social media," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-22, December.
- Kyle S Hickmann & Geoffrey Fairchild & Reid Priedhorsky & Nicholas Generous & James M Hyman & Alina Deshpande & Sara Y Del Valle, 2015. "Forecasting the 2013–2014 Influenza Season Using Wikipedia," PLOS Computational Biology, Public Library of Science, vol. 11(5), pages 1-29, May.
- Wenceslao Arroyo‐Machado & Adrián A. Díaz‐Faes & Enrique Herrera‐Viedma & Rodrigo Costas, 2024. "From academic to media capital: To what extent does the scientific reputation of universities translate into Wikipedia attention?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 75(4), pages 423-437, April.
- Meyer, Christian & Hamer, Martin & Terlau, Wiltrud & Raithel, Johannes & Pongratz, Patrick, 2015. "Web Data Mining and Social Media Analysis for better Communication in Food Safety Crises," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 6(3), pages 1-10, July.
- Julissa Alexandra Galarza-Villamar & Mariette McCampbell & Andres Galarza-Villamar & Cees Leeuwis & Francesco Cecchi & John Galarza-Rodrigo, 2021. "A Public Bad Game Method to Study Dynamics in Socio-Ecological Systems (Part II): Results of Testing Musa-Game in Rwanda and Adding Emergence and Spatiality to the Analysis," Sustainability, MDPI, vol. 13(16), pages 1-27, August.
- Meyer, Christian & Hamer, Martin & Terlau, Wiltrud & Raithel, Johannes & Pongratz, Patrick, 2015. "Web Data Mining and Social Media Analysis for better Communication in Food Safety Crises," 2015 International European Forum (144th EAAE Seminar), February 9-13, 2015, Innsbruck-Igls, Austria 206212, International European Forum on System Dynamics and Innovation in Food Networks.
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