Published on in Vol 19, No 6 (2017): June

Integrated Detection and Prediction of Influenza Activity for Real-Time Surveillance: Algorithm Design

Integrated Detection and Prediction of Influenza Activity for Real-Time Surveillance: Algorithm Design

Integrated Detection and Prediction of Influenza Activity for Real-Time Surveillance: Algorithm Design

Journals

  1. Yuan M, Boston-Fisher N, Luo Y, Verma A, Buckeridge D. A systematic review of aberration detection algorithms used in public health surveillance. Journal of Biomedical Informatics 2019;94:103181 View
  2. George J, Häsler B, Mremi I, Sindato C, Mboera L, Rweyemamu M, Mlangwa J. A systematic review on integration mechanisms in human and animal health surveillance systems with a view to addressing global health security threats. One Health Outlook 2020;2(1) View
  3. Smith G, Elliot A, Lake I, Edeghere O, Morbey R, Catchpole M, Heymann D, Hawker J, Ibbotson S, McCloskey B, Pebody R. Syndromic surveillance: two decades experience of sustainable systems – its people not just data!. Epidemiology and Infection 2019;147 View
  4. Ming L, Untong N, Aliudin N, Osili N, Kifli N, Tan C, Goh K, Ng P, Al-Worafi Y, Lee K, Goh H. Mobile Health Apps on COVID-19 Launched in the Early Days of the Pandemic: Content Analysis and Review. JMIR mHealth and uHealth 2020;8(9):e19796 View
  5. Soliman M, Lyubchich V, Gel Y. Complementing the power of deep learning with statistical model fusion: Probabilistic forecasting of influenza in Dallas County, Texas, USA. Epidemics 2019;28:100345 View
  6. Spreco A, Eriksson O, Dahlström Ö, Cowling B, Timpka T. Evaluation of Nowcasting for Detecting and Predicting Local Influenza Epidemics, Sweden, 2009–2014. Emerging Infectious Diseases 2018;24(10):1868 View
  7. Corsi A, de Souza F, Pagani R, Kovaleski J. Big data analytics as a tool for fighting pandemics: a systematic review of literature. Journal of Ambient Intelligence and Humanized Computing 2021;12(10):9163 View
  8. Spreco A, Eriksson O, Dahlström Ö, Cowling B, Biggerstaff M, Ljunggren G, Jöud A, Istefan E, Timpka T. Nowcasting (Short-Term Forecasting) of Influenza Epidemics in Local Settings, Sweden, 2008–2019. Emerging Infectious Diseases 2020;26(11):2669 View
  9. Zangani C, Schifano F, Napoletano F, Arillotta D, Gilgar L, Guirguis A, Corkery J, Gambini O, Vento A. The e-Psychonauts’ ‘Spiced’ World; Assessment of the Synthetic Cannabinoids’ Information Available Online. Current Neuropharmacology 2020;18(10):966 View
  10. Cohen R, Béchet S, Gelbert N, Frandji B, Vie Le Sage F, Thiebault G, Kochert F, Cahn-Sellem F, Werner A, Ouldali N, Levy C. New Approach to the Surveillance of Pediatric Infectious Diseases From Ambulatory Pediatricians in the Digital Era. Pediatric Infectious Disease Journal 2021;40(7):674 View
  11. Spreco A, Jöud A, Eriksson O, Soltesz K, Källström R, Dahlström Ö, Eriksson H, Ekberg J, Jonson C, Fraenkel C, Lundh T, Gerlee P, Gustafsson F, Timpka T. Nowcasting (Short-Term Forecasting) of COVID-19 Hospitalizations Using Syndromic Healthcare Data, Sweden, 2020. Emerging Infectious Diseases 2022;28(3) View
  12. Ryu S, Cowling B. Human Influenza Epidemiology. Cold Spring Harbor Perspectives in Medicine 2021;11(12):a038356 View