Published on 28.04.14 in Vol 16, No 4 (2014): April
Works citing "Performance of eHealth Data Sources in Local Influenza Surveillance: A 5-Year Open Cohort Study"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.3099):
(note that this is only a small subset of citations)
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. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
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Al-Tawfiq JA, Zumla A, Gautret P, Gray GC, Hui DS, Al-Rabeeah AA, Memish ZA. Surveillance for emerging respiratory viruses. The Lancet Infectious Diseases 2014;14(10):992
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Spreco A, Eriksson O, Dahlström , Cowling BJ, Timpka T. Integrated Detection and Prediction of Influenza Activity for Real-Time Surveillance: Algorithm Design. Journal of Medical Internet Research 2017;19(6):e211
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Schwab-Reese LM, 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
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Seo D, Jo M, Sohn CH, Shin S, Lee J, Yu M, Kim WY, Lim KS, Lee S. Cumulative Query Method for Influenza Surveillance Using Search Engine Data. Journal of Medical Internet Research 2014;16(12):e289
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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
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SPRECO A, ERIKSSON O, DAHLSTRÖM , TIMPKA T. Influenza detection and prediction algorithms: comparative accuracy trial in Östergötland county, Sweden, 2008–2012. Epidemiology and Infection 2017;145(10):2166
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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
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Timpka T, Spreco A, Eriksson O, Dahlström , Gursky EA, Strömgren M, Holm E, Ekberg J, Hinkula J, Nyce JM, Eriksson H. Predictive performance of telenursing complaints in influenza surveillance: a prospective cohort study in Sweden. Eurosurveillance 2014;19(46)
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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
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. 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
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Teo JTH, Dinu V, Bernal W, Davidson P, Oliynyk V, Breen C, Barker RD, Dobson RJB. Real-time clinician text feeds from electronic health records. npj Digital Medicine 2021;4(1)
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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
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Gerli P, Arakpogun EO, Elsahn Z, Olan F, Prime KS. Beyond contact-tracing: The public value of eHealth application in a pandemic. Government Information Quarterly 2021;38(3):101581
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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)
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.3099):
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. Open Data Governance and Its Actors. 2022. Chapter 5:97
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