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Citing this Article

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Published on 15.06.17 in Vol 19, No 6 (2017): June

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

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

Armin Spreco, Olle Eriksson, Örjan Dahlström, Benjamin John Cowling, Toomas Timpka

J Med Internet Res 2017 (Jun 15); 19(6):e211 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.7101):

(note that this is only a small subset of citations)

  1. Yuan M, Boston-Fisher N, Luo Y, Verma A, Buckeridge DL. A systematic review of aberration detection algorithms used in public health surveillance. Journal of Biomedical Informatics 2019;94:103181
    CrossRef
  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)
    CrossRef
  3. Smith GE, Elliot AJ, Lake I, Edeghere O, Morbey R, Catchpole M, Heymann DL, 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
    CrossRef
  4. Ming LC, Untong N, Aliudin NA, Osili N, Kifli N, Tan CS, Goh KW, Ng PW, Al-Worafi YM, Lee KS, Goh HP. 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
    CrossRef
  5. Soliman M, Lyubchich V, Gel YR. Complementing the power of deep learning with statistical model fusion: Probabilistic forecasting of influenza in Dallas County, Texas, USA. Epidemics 2019;28:100345
    CrossRef
  6. Spreco A, Eriksson O, Dahlström , Cowling BJ, Timpka T. Evaluation of Nowcasting for Detecting and Predicting Local Influenza Epidemics, Sweden, 2009–2014. Emerging Infectious Diseases 2018;24(10):1868
    CrossRef
  7. Corsi A, de Souza FF, Pagani RN, Kovaleski JL. 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
    CrossRef
  8. Spreco A, Eriksson O, Dahlström , Cowling BJ, 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
    CrossRef
  9. Zangani C, Schifano F, Napoletano F, Arillotta D, Gilgar L, Guirguis A, Corkery JM, Gambini O, Vento A. The e-Psychonauts’ ‘Spiced’ World; Assessment of the Synthetic Cannabinoids’ Information Available Online. Current Neuropharmacology 2020;18(10):966
    CrossRef
  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
    CrossRef
  11. Spreco A, Jöud A, Eriksson O, Soltesz K, Källström R, Dahlström , 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)
    CrossRef
  12. Ryu S, Cowling BJ. Human Influenza Epidemiology. Cold Spring Harbor Perspectives in Medicine 2021;11(12):a038356
    CrossRef