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](https://asset.jmir.pub/assets/25d6b9d72e6cacefdf951659b763333b.jpg 480w,https://asset.jmir.pub/assets/25d6b9d72e6cacefdf951659b763333b.jpg 960w,https://asset.jmir.pub/assets/25d6b9d72e6cacefdf951659b763333b.jpg 1920w,https://asset.jmir.pub/assets/25d6b9d72e6cacefdf951659b763333b.jpg 2500w)
Journals
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Ryu S, Cowling B. Human Influenza Epidemiology. Cold Spring Harbor Perspectives in Medicine 2021;11(12):a038356 View
- Castro Blanco E, Dalmau Llorca M, Aguilar Martín C, Carrasco-Querol N, Gonçalves A, Hernández Rojas Z, Coma E, Fernández-Sáez J. A Predictive Model of the Start of Annual Influenza Epidemics. Microorganisms 2024;12(7):1257 View