Published on in Vol 16, No 3 (2014): March

Determinants of Follow-Up Participation in the Internet-Based European Influenza Surveillance Platform Influenzanet

Determinants of Follow-Up Participation in the Internet-Based European Influenza Surveillance Platform Influenzanet

Determinants of Follow-Up Participation in the Internet-Based European Influenza Surveillance Platform Influenzanet

Journals

  1. Kalimeri K, Delfino M, Cattuto C, Perrotta D, Colizza V, Guerrisi C, Turbelin C, Duggan J, Edmunds J, Obi C, Pebody R, Franco A, Moreno Y, Meloni S, Koppeschaar C, Kjelsø C, Mexia R, Paolotti D, Scarpino S. Unsupervised extraction of epidemic syndromes from participatory influenza surveillance self-reported symptoms. PLOS Computational Biology 2019;15(4):e1006173 View
  2. Smolinski M, Crawley A, Baltrusaitis K, Chunara R, Olsen J, Wójcik O, Santillana M, Nguyen A, Brownstein J. Flu Near You: Crowdsourced Symptom Reporting Spanning 2 Influenza Seasons. American Journal of Public Health 2015;105(10):2124 View
  3. Guerra J, Acharya P, Barnadas C, Selvey L. Community-based surveillance: A scoping review. PLOS ONE 2019;14(4):e0215278 View
  4. Rehn M, Carnahan A, Merk H, Kühlmann-Berenzon S, Galanis I, Linde A, Nyrén O, Merler S. Evaluation of an Internet-Based Monitoring System for Influenza-Like Illness in Sweden. PLoS ONE 2014;9(5):e96740 View
  5. Loubet P, Guerrisi C, Turbelin C, Blondel B, Launay O, Bardou M, Blanchon T, Bonmarin I, Goffinet F, Ancel P, Colizza V, Hanslik T, Kernéis S. First nationwide web-based surveillance system for influenza-like illness in pregnant women: participation and representativeness of the French G-GrippeNet cohort. BMC Public Health 2016;16(1) View
  6. Groseclose S, Buckeridge D. Public Health Surveillance Systems: Recent Advances in Their Use and Evaluation. Annual Review of Public Health 2017;38(1):57 View
  7. Pagliari C, Vijaykumar S, Churcher T. Digital Participatory Surveillance and the Zika Crisis: Opportunities and Caveats. PLOS Neglected Tropical Diseases 2016;10(6):e0004795 View
  8. Rübsamen N, Akmatov M, Castell S, Karch A, Mikolajczyk R. Factors associated with attrition in a longitudinal online study: results from the HaBIDS panel. BMC Medical Research Methodology 2017;17(1) View
  9. Kandula N, Puri-Taneja A, Victorson D, Dave S, Kanaya A, Huffman M. Mediators of Atherosclerosis in South Asians Living in America: Use of Web-Based Methods for Follow-Up and Collection of Patient-Reported Outcome Measures. JMIR Research Protocols 2016;5(2):e95 View
  10. Choi J, Cho Y, Shim E, Woo H. Web-based infectious disease surveillance systems and public health perspectives: a systematic review. BMC Public Health 2016;16(1) View
  11. Geneviève L, Wangmo T, Dietrich D, Woolley-Meza O, Flahault A, Elger B. Research Ethics in the European Influenzanet Consortium: Scoping Review. JMIR Public Health and Surveillance 2018;4(4):e67 View
  12. Pouchieu C, Méjean C, Andreeva V, Kesse-Guyot E, Fassier P, Galan P, Hercberg S, Touvier M. How Computer Literacy and Socioeconomic Status Affect Attitudes Toward a Web-Based Cohort: Results From the NutriNet-Santé Study. Journal of Medical Internet Research 2015;17(2):e34 View
  13. Koppeschaar C, Colizza V, Guerrisi C, Turbelin C, Duggan J, Edmunds W, Kjelsø C, Mexia R, Moreno Y, Meloni S, Paolotti D, Perrotta D, van Straten E, Franco A. Influenzanet: Citizens Among 10 Countries Collaborating to Monitor Influenza in Europe. JMIR Public Health and Surveillance 2017;3(3):e66 View
  14. Chunara R, Wisk L, Weitzman E. Denominator Issues for Personally Generated Data in Population Health Monitoring. American Journal of Preventive Medicine 2017;52(4):549 View
  15. Wang L, He L, Tao Y, Sun L, Zheng H, Zheng Y, Shen Y, Liu S, Zhao Y, Wang Y. Evaluating a Web-Based Coaching Program Using Electronic Health Records for Patients With Chronic Obstructive Pulmonary Disease in China: Randomized Controlled Trial. Journal of Medical Internet Research 2017;19(7):e264 View
  16. Liu D, Mitchell L, Cope R, Carlson S, Ross J. Elucidating user behaviours in a digital health surveillance system to correct prevalence estimates. Epidemics 2020;33:100404 View
  17. Perrotta D, Bella A, Rizzo C, Paolotti D, Costa C. Participatory Online Surveillance as a Supplementary Tool to Sentinel Doctors for Influenza-Like Illness Surveillance in Italy. PLOS ONE 2017;12(1):e0169801 View
  18. Baltrusaitis K, Santillana M, Crawley A, Chunara R, Smolinski M, Brownstein J. Determinants of Participants’ Follow-Up and Characterization of Representativeness in Flu Near You, A Participatory Disease Surveillance System. JMIR Public Health and Surveillance 2017;3(2):e18 View
  19. Smolinski M, Crawley A, Olsen J, Jayaraman T, Libel M. Participatory Disease Surveillance: Engaging Communities Directly in Reporting, Monitoring, and Responding to Health Threats. JMIR Public Health and Surveillance 2017;3(4):e62 View
  20. Lwin M, Lu J, Sheldenkar A, Panchapakesan C, Tan Y, Yap P, Chen M, Chow V, Thoon K, Yung C, Ang L, Ang B. Effectiveness of a Mobile-Based Influenza-Like Illness Surveillance System (FluMob) Among Health Care Workers: Longitudinal Study. JMIR mHealth and uHealth 2020;8(12):e19712 View
  21. von Wyl V. Challenges for Nontechnical Implementation of Digital Proximity Tracing During the COVID-19 Pandemic: Media Analysis of the SwissCovid App. JMIR mHealth and uHealth 2021;9(2):e25345 View
  22. McDonald S, van den Wijngaard C, Wielders C, Friesema I, Soetens L, Paolotti D, van den Hof S, van Hoek A. Risk factors associated with the incidence of self-reported COVID-19-like illness: data from a web-based syndromic surveillance system in the Netherlands. Epidemiology and Infection 2021;149 View
  23. Hswen Y, Yom-Tov E. Analysis of a Vaping-Associated Lung Injury Outbreak through Participatory Surveillance and Archival Internet Data. International Journal of Environmental Research and Public Health 2021;18(15):8203 View