Published on in Vol 16, No 4 (2014): April

Performance of eHealth Data Sources in Local Influenza Surveillance:
A 5-Year Open Cohort Study

Performance of eHealth Data Sources in Local Influenza Surveillance: A 5-Year Open Cohort Study

Performance of eHealth Data Sources in Local Influenza Surveillance: A 5-Year Open Cohort Study

Journals

  1. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  2. Al-Tawfiq J, Zumla A, Gautret P, Gray G, Hui D, Al-Rabeeah A, Memish Z. Surveillance for emerging respiratory viruses. The Lancet Infectious Diseases 2014;14(10):992 View
  3. Spreco A, Eriksson O, Dahlström Ö, Cowling B, Timpka T. Integrated Detection and Prediction of Influenza Activity for Real-Time Surveillance: Algorithm Design. Journal of Medical Internet Research 2017;19(6):e211 View
  4. Schwab-Reese L, Hovdestad W, Tonmyr L, Fluke J. The potential use of social media and other internet-related data and communications for child maltreatment surveillance and epidemiological research: Scoping review and recommendations. Child Abuse & Neglect 2018;85:187 View
  5. Seo D, Jo M, Sohn C, Shin S, Lee J, Yu M, Kim W, Lim K, Lee S. Cumulative Query Method for Influenza Surveillance Using Search Engine Data. Journal of Medical Internet Research 2014;16(12):e289 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. SPRECO A, ERIKSSON O, DAHLSTRÖM Ö, TIMPKA T. Influenza detection and prediction algorithms: comparative accuracy trial in Östergötland county, Sweden, 2008–2012. Epidemiology and Infection 2017;145(10):2166 View
  8. Yan S, Chughtai A, Macintyre C. Utility and potential of rapid epidemic intelligence from internet-based sources. International Journal of Infectious Diseases 2017;63:77 View
  9. Timpka T, Spreco A, Eriksson O, Dahlström Ö, Gursky E, Strömgren M, Holm E, Ekberg J, Hinkula J, Nyce J, Eriksson H. Predictive performance of telenursing complaints in influenza surveillance: a prospective cohort study in Sweden. Eurosurveillance 2014;19(46) View
  10. Musa I, Park H, Munkhdalai L, Ryu K. Global Research on Syndromic Surveillance from 1993 to 2017: Bibliometric Analysis and Visualization. Sustainability 2018;10(10):3414 View
  11. Kassen M. Understanding transparency of government from a Nordic perspective: open government and open data movement as a multidimensional collaborative phenomenon in Sweden. Journal of Global Information Technology Management 2017;20(4):236 View
  12. Teo J, Dinu V, Bernal W, Davidson P, Oliynyk V, Breen C, Barker R, Dobson R. Real-time clinician text feeds from electronic health records. npj Digital Medicine 2021;4(1) View
  13. 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
  14. Gerli P, Arakpogun E, Elsahn Z, Olan F, Prime K. Beyond contact-tracing: The public value of eHealth application in a pandemic. Government Information Quarterly 2021;38(3):101581 View
  15. 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

Books/Policy Documents

  1. Kassen M. Open Data Governance and Its Actors. View