This paper is in the following e-collection/theme issue:

Theme Issue 2017: Participatory Disease Surveillance (Skoll Global Threats/Hunter Medical Res Institute) (9) Participatory Medicine & E-Patients (787) Infectious Diseases (non-STD/STI) (1592) Influenza and Influenza-Like-Illness (ILI) Surveillance (219) Participatory Epidemiology and Surveillance (119)

Published on in Vol 3, No 4 (2017): Oct-Dec

Combining Participatory Influenza Surveillance with Modeling and Forecasting: Three Alternative Approaches

Combining Participatory Influenza Surveillance with Modeling and Forecasting: Three Alternative Approaches

Combining Participatory Influenza Surveillance with Modeling and Forecasting: Three Alternative Approaches

Authors of this article:

John S Brownstein1, 2, 3 Author Orcid Image ;   Shuyu Chu4 Author Orcid Image ;   Achla Marathe4 Author Orcid Image ;   Madhav V Marathe4 Author Orcid Image ;   Andre T Nguyen2, 5 Author Orcid Image ;   Daniela Paolotti6 Author Orcid Image ;   Nicola Perra7 Author Orcid Image ;   Daniela Perrotta6 Author Orcid Image ;   Mauricio Santillana1, 2, 3 Author Orcid Image ;   Samarth Swarup4 Author Orcid Image ;   Michele Tizzoni6 Author Orcid Image ;   Alessandro Vespignani8 Author Orcid Image ;   Anil Kumar S Vullikanti4 Author Orcid Image ;   Mandy L Wilson4 Author Orcid Image ;   Qian Zhang8 Author Orcid Image
Article Authors Cited by (32) Tweetations (45) Metrics

Journals

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  9. Leal Neto O, Cruz O, Albuquerque J, Nacarato de Sousa M, Smolinski M, Pessoa Cesse E, Libel M, Vieira de Souza W. Participatory Surveillance Based on Crowdsourcing During the Rio 2016 Olympic Games Using the Guardians of Health Platform: Descriptive Study. JMIR Public Health and Surveillance 2020;6(2):e16119 View
  10. Fujibayashi K, Takahashi H, Tanei M, Uehara Y, Yokokawa H, Naito T. A New Influenza-Tracking Smartphone App (Flu-Report) Based on a Self-Administered Questionnaire: Cross-Sectional Study. JMIR mHealth and uHealth 2018;6(6):e136 View
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  13. Lu F, Nguyen A, Link N, Molina M, Davis J, Chinazzi M, Xiong X, Vespignani A, Lipsitch M, Santillana M, Viboud C. Estimating the cumulative incidence of COVID-19 in the United States using influenza surveillance, virologic testing, and mortality data: Four complementary approaches. PLOS Computational Biology 2021;17(6):e1008994 View
  14. Tozzi A, Gesualdo F, Urbani E, Sbenaglia A, Ascione R, Procopio N, Croci I, Rizzo C. Digital Surveillance Through an Online Decision Support Tool for COVID-19 Over One Year of the Pandemic in Italy: Observational Study. Journal of Medical Internet Research 2021;23(8):e29556 View
  15. Gardner R, Haskell J, Jenkins B, Capizzo L, Cooper E, Morphis B. Innovative Use of a Mobile Web Application to Remotely Monitor Nonhospitalized Patients with COVID-19. Telemedicine and e-Health 2022;28(9):1285 View
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  17. Maharaj A, Parker J, Hopkins J, Gournis E, Bogoch I, Rader B, Astley C, Ivers N, Hawkins J, Lee L, Tuite A, Fisman D, Brownstein J, Lapointe-Shaw L, Lau E. Comparison of longitudinal trends in self-reported symptoms and COVID-19 case activity in Ontario, Canada. PLOS ONE 2022;17(1):e0262447 View
  18. Ganser I, Thiébaut R, Buckeridge D. Global Variations in Event-Based Surveillance for Disease Outbreak Detection: Time Series Analysis. JMIR Public Health and Surveillance 2022;8(10):e36211 View
  19. Leal-Neto O, Egger T, Schlegel M, Flury D, Sumer J, Albrich W, Babouee Flury B, Kuster S, Vernazza P, Kahlert C, Kohler P. Digital SARS-CoV-2 Detection Among Hospital Employees: Participatory Surveillance Study. JMIR Public Health and Surveillance 2021;7(11):e33576 View
  20. Bedi J, Vijay D, Dhaka P, Singh Gill J, Barbuddhe S. Emergency preparedness for public health threats, surveillance, modelling & forecasting. Indian Journal of Medical Research 2021;153(3):287 View
  21. Luca M, Campedelli G, Centellegher S, Tizzoni M, Lepri B. Crime, inequality and public health: a survey of emerging trends in urban data science. Frontiers in Big Data 2023;6 View
  22. Morris M, Hayes P, Cox I, Lampos V, Lofgren E. Neural network models for influenza forecasting with associated uncertainty using Web search activity trends. PLOS Computational Biology 2023;19(8):e1011392 View
  23. Leal Neto O, Paolotti D, Dalton C, Carlson S, Susumpow P, Parker M, Phetra P, Lau E, Colizza V, Jan van Hoek A, Kjelsø C, Brownstein J, Smolinski M. Enabling Multicentric Participatory Disease Surveillance for Global Health Enhancement: Viewpoint on Global Flu View. JMIR Public Health and Surveillance 2023;9:e46644 View
  24. Bokányi E, Vizi Z, Koltai J, Röst G, Karsai M. Real-time estimation of the effective reproduction number of COVID-19 from behavioral data. Scientific Reports 2023;13(1) View
  25. Akiya I, Ishihara T, Yamamoto K. Comparison of Synthetic Data Generation Techniques for Control Group Survival Data in Oncology Clinical Trials: Simulation Study. JMIR Medical Informatics 2024;12:e55118 View
  26. Papagiannopoulou E, Bossa M, Deligiannis N, Sahli H. Long-Term Regional Influenza-Like-Illness Forecasting Using Exogenous Data. IEEE Journal of Biomedical and Health Informatics 2024;28(6):3781 View
  27. Andronico A, Paireau J, Cauchemez S, Lau E. Integrating information from historical data into mechanistic models for influenza forecasting. PLOS Computational Biology 2024;20(10):e1012523 View

Books/Policy Documents

  1. Spitzberg B, Tsou M, Jung C. The Handbook of Applied Communication Research. View