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Citing this Article

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Published on 17.08.17 in Vol 3, No 3 (2017): Jul-Sept

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

Works citing "Insights From Flutracking: Thirteen Tips to Growing a Web-Based Participatory Surveillance System"

Craig Dalton, Sandra Carlson, Michelle Butler, Daniel Cassano, Stephen Clarke, John Fejsa, David Durrheim

JMIR Public Health Surveill 2017 (Aug 17); 3(3):e48 

According to Crossref, the following articles are citing this article (DOI 10.2196/publichealth.7333):

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

  1. Leal Neto O, Cruz O, Albuquerque J, Nacarato de Sousa M, Smolinski M, Pessoa Cesse E, Libel M, Vieira de Souza W. Participatory Surveillance Based on Crowdsourcing During the Rio 2016 Olympic Games Using the Guardians of Health Platform: Descriptive Study. JMIR Public Health and Surveillance 2020;6(2):e16119
    CrossRef
  2. Prieto JT, Jara JH, Alvis JP, Furlan LR, Murray CT, Garcia J, Benghozi P, Kaydos-Daniels SC. Will Participatory Syndromic Surveillance Work in Latin America? Piloting a Mobile Approach to Crowdsource Influenza-Like Illness Data in Guatemala. JMIR Public Health and Surveillance 2017;3(4):e87
    CrossRef
  3. Smolinski MS, Crawley AW, Olsen JM, 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
    CrossRef
  4. Chan T, Hu T, Hwang J. Estimating the Risk of Influenza-Like Illness Transmission Through Social Contacts: Web-Based Participatory Cohort Study. JMIR Public Health and Surveillance 2018;4(2):e40
    CrossRef
  5. Stewart RJ, Rossow J, Eckel S, Bidol S, Ballew G, Signs K, Conover JT, Burns E, Bresee JS, Fry AM, Olsen SJ, Biggerstaff M. Text-Based Illness Monitoring for Detection of Novel Influenza A Virus Infections During an Influenza A (H3N2)v Virus Outbreak in Michigan, 2016: Surveillance and Survey. JMIR Public Health and Surveillance 2019;5(2):e10842
    CrossRef
  6. Baltrusaitis K, Brownstein JS, Scarpino SV, Bakota E, Crawley AW, Conidi G, Gunn J, Gray J, Zink A, Santillana M. Comparison of crowd-sourced, electronic health records based, and traditional health-care based influenza-tracking systems at multiple spatial resolutions in the United States of America. BMC Infectious Diseases 2018;18(1)
    CrossRef
  7. Kim M, Yune S, Chang S, Jung Y, Sa SO, Han HW. The Fever Coach Mobile App for Participatory Influenza Surveillance in Children: Usability Study. JMIR mHealth and uHealth 2019;7(10):e14276
    CrossRef
  8. Olson D, Lamb M, Lopez MR, Colborn K, Paniagua-Avila A, Zacarias A, Zambrano-Perilla R, Rodríguez-Castro SR, Cordon-Rosales C, Asturias EJ. Performance of a Mobile Phone App-Based Participatory Syndromic Surveillance System for Acute Febrile Illness and Acute Gastroenteritis in Rural Guatemala. Journal of Medical Internet Research 2017;19(11):e368
    CrossRef
  9. Lyon V, Zigman Suchsland M, Chilver M, Stocks N, Lutz B, Su P, Cooper S, Park C, Lavitt LR, Mariakakis A, Patel S, Graham C, Rieder M, LeRouge C, Thompson M. Diagnostic accuracy of an app-guided, self-administered test for influenza among individuals presenting to general practice with influenza-like illness: study protocol. BMJ Open 2020;10(11):e036298
    CrossRef
  10. Masthi R, Jahan A, Bharathi D, Abhilash P, Kaniyarakkal V, TV S, Gowda G, TS R, Goud R, Rao S, Hegde A. Postcode based participatory disease surveillance systems : a comparison with traditional risk-based surveillance and its application in the COVID-19 pandemic (Preprint). JMIR Public Health and Surveillance 2020;
    CrossRef
  11. . 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
    CrossRef
  12. Zigman Suchsland ML, Rahmatullah I, Lutz B, Lyon V, Huang S, Kline E, Graham C, Cooper S, Su P, Smedinghoff S, Chu HY, Sewalk K, Brownstein JS, Thompson MJ. Evaluating an app-guided self-test for influenza: lessons learned for improving the feasibility of study designs to evaluate self-tests for respiratory viruses. BMC Infectious Diseases 2021;21(1)
    CrossRef
  13. Daniore P, Nittas V, von Wyl V. Enrollment and Retention of Participants in Remote Digital Health Studies: Scoping Review and Framework Proposal. Journal of Medical Internet Research 2022;24(9):e39910
    CrossRef
  14. Chen H, Yang B, Pei H, Liu J. Next Generation Technology for Epidemic Prevention and Control: Data-Driven Contact Tracking. IEEE Access 2019;7:2633
    CrossRef
  15. Leal Neto O, Paolotti D, Dalton C, Carlson S, Susumpow P, Parker M, Phetra P, Lau EHY, Colizza V, Jan van Hoek A, Kjelsø C, Brownstein JS, Smolinski MS. Enabling Multicentric Participatory Disease Surveillance for Global Health Enhancement: Viewpoint on Global Flu View. JMIR Public Health and Surveillance 2023;9:e46644
    CrossRef
  16. Moss R, Price DJ, Golding N, Dawson P, McVernon J, Hyndman RJ, Shearer FM, McCaw JM. Forecasting COVID-19 activity in Australia to support pandemic response: May to October 2020. Scientific Reports 2023;13(1)
    CrossRef
  17. Hsiao KH, Quinn E, Johnstone T, Gomez M, Ingleton A, Parasuraman A, Najjar Z, Gupta L. A novel web-based application for influenza and COVID-19 outbreak detection and response in residential aged care facilities (Preprint). JMIR Public Health and Surveillance 2022;
    CrossRef
  18. Dias-Karunaratne N, Whop L, Ward J, Vujovich-Dunn C, Amin J, Dakiniewich A, Dyda A. Representation of marginalised populations in digital surveillance for notifiable conditions in Australia: a systematic review. Perspectives in Public Health 2024;
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/publichealth.7333):

  1. Samaras L, García-Barriocanal E, Sicilia M. Innovation in Health Informatics. 2020. :39
    CrossRef
  2. Abdalla M, Anter AM. Nature-Inspired Methods for Smart Healthcare Systems and Medical Data. 2024. Chapter 5:89
    CrossRef