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Citing this Article

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Published on 07.04.17 in Vol 3, No 2 (2017): Apr-Jun

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

Works citing "Determinants of Participants’ Follow-Up and Characterization of Representativeness in Flu Near You, A Participatory Disease Surveillance System"

Kristin Baltrusaitis, Mauricio Santillana, Adam W Crawley, Rumi Chunara, Mark Smolinski, John S Brownstein

JMIR Public Health Surveill 2017 (Apr 07); 3(2):e18 

According to Crossref, the following articles are citing this article (DOI 10.2196/publichealth.7304):

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

  1. Kennedy R, Mahajan A, Urpelainen J. Crowdsourcing data on the reliability of electricity service: Evidence from a telephone survey in Uttar Pradesh, India. Energy Policy 2020;145:111746
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  2. 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
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  3. . Task-Layer Multiplicity as a Measure of Community Level Health. Complexity 2019;2019:1
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  4. . Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
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  5. Lu FS, Hou S, Baltrusaitis K, Shah M, Leskovec J, Sosic R, Hawkins J, Brownstein J, Conidi G, Gunn J, Gray J, Zink A, Santillana M. Accurate Influenza Monitoring and Forecasting Using Novel Internet Data Streams: A Case Study in the Boston Metropolis. JMIR Public Health and Surveillance 2018;4(1):e4
    CrossRef
  6. Paul MJ, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1
    CrossRef
  7. Baltrusaitis K, Reed C, Sewalk K, Brownstein JS, Crawley AW, Biggerstaff M. Healthcare-Seeking Behavior for Respiratory Illness Among Flu Near You Participants in the United States During the 2015–2016 Through 2018–2019 Influenza Seasons. The Journal of Infectious Diseases 2022;226(2):270
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  8. Kalimeri K, Delfino M, Cattuto C, Perrotta D, Colizza V, Guerrisi C, Turbelin C, Duggan J, Edmunds J, Obi C, Pebody R, Franco AO, 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
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  9. Brownstein JS, Chu S, Marathe A, Marathe MV, Nguyen AT, Paolotti D, Perra N, Perrotta D, Santillana M, Swarup S, Tizzoni M, Vespignani A, Vullikanti AKS, Wilson ML, Zhang Q. Combining Participatory Influenza Surveillance with Modeling and Forecasting: Three Alternative Approaches. JMIR Public Health and Surveillance 2017;3(4):e83
    CrossRef
  10. Baltrusaitis K, Vespignani A, Rosenfeld R, Gray J, Raymond D, Santillana M. Differences in Regional Patterns of Influenza Activity Across Surveillance Systems in the United States: Comparative Evaluation. JMIR Public Health and Surveillance 2019;5(4):e13403
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  11. Moss R, Zarebski A, Carlson S, McCaw J. Accounting for Healthcare-Seeking Behaviours and Testing Practices in Real-Time Influenza Forecasts. Tropical Medicine and Infectious Disease 2019;4(1):12
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  12. Liu D, Mitchell L, Cope RC, Carlson SJ, Ross JV. Elucidating user behaviours in a digital health surveillance system to correct prevalence estimates. Epidemics 2020;33:100404
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  13. . At your own risk. Communication Design Quarterly 2017;5(2):51
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  14. 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
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  15. 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
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  16. 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)
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  17. 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
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  18. Lapointe-Shaw L, Rader B, Astley CM, Hawkins JB, Bhatia D, Schatten WJ, Lee TC, Liu JJ, Ivers NM, Stall NM, Gournis E, Tuite AR, Fisman DN, Bogoch II, Brownstein JS, Di Gennaro F. Web and phone-based COVID-19 syndromic surveillance in Canada: A cross-sectional study. PLOS ONE 2020;15(10):e0239886
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  19. Bhatia S, Lassmann B, Cohn E, Desai AN, Carrion M, Kraemer MUG, Herringer M, Brownstein J, Madoff L, Cori A, Nouvellet P. Using digital surveillance tools for near real-time mapping of the risk of infectious disease spread. npj Digital Medicine 2021;4(1)
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  20. Runkle JD, Sugg MM, Graham G, Hodge B, March T, Mullendore J, Tove F, Salyers M, Valeika S, Vaughan E. Participatory COVID-19 Surveillance Tool in Rural Appalachia. Public Health Reports 2021;136(3):327
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  21. Menni C, Klaser K, May A, Polidori L, Capdevila J, Louca P, Sudre CH, Nguyen LH, Drew DA, Merino J, Hu C, Selvachandran S, Antonelli M, Murray B, Canas LS, Molteni E, Graham MS, Modat M, Joshi AD, Mangino M, Hammers A, Goodman AL, Chan AT, Wolf J, Steves CJ, Valdes AM, Ourselin S, Spector TD. Vaccine side-effects and SARS-CoV-2 infection after vaccination in users of the COVID Symptom Study app in the UK: a prospective observational study. The Lancet Infectious Diseases 2021;21(7):939
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  22. Sudre CH, Keshet A, Graham MS, Joshi AD, Shilo S, Rossman H, Murray B, Molteni E, Klaser K, Canas LD, Antonelli M, Nguyen LH, Drew DA, Modat M, Pujol JC, Ganesh S, Wolf J, Meir T, Chan AT, Steves CJ, Spector TD, Brownstein JS, Segal E, Ourselin S, Astley CM. Anosmia, ageusia, and other COVID-19-like symptoms in association with a positive SARS-CoV-2 test, across six national digital surveillance platforms: an observational study. The Lancet Digital Health 2021;3(9):e577
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  23. Astley CM, Tuli G, Mc Cord KA, Cohn EL, Rader B, Varrelman TJ, Chiu SL, Deng X, Stewart K, Farag TH, Barkume KM, LaRocca S, Morris KA, Kreuter F, Brownstein JS. Global monitoring of the impact of the COVID-19 pandemic through online surveys sampled from the Facebook user base. Proceedings of the National Academy of Sciences 2021;118(51)
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  24. Hansen C, Perofsky AC, Burstein R, Famulare M, Boyle S, Prentice R, Marshall C, McCormick BJJ, Reinhart D, Capodanno B, Truong M, Schwabe-Fry K, Kuchta K, Pfau B, Acker Z, Lee J, Sibley TR, McDermot E, Rodriguez-Salas L, Stone J, Gamboa L, Han PD, Duchin JS, Waghmare A, Englund JA, Shendure J, Bedford T, Chu HY, Starita LM, Viboud C. Trends in Risk Factors and Symptoms Associated With SARS-CoV-2 and Rhinovirus Test Positivity in King County, Washington, June 2020 to July 2022. JAMA Network Open 2022;5(12):e2245861
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  25. Robins K, Leonard AFC, Farkas K, Graham DW, Jones DL, Kasprzyk-Hordern B, Bunce JT, Grimsley JMS, Wade MJ, Zealand AM, McIntyre-Nolan S. Research needs for optimising wastewater-based epidemiology monitoring for public health protection. Journal of Water and Health 2022;20(9):1284
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  26. Remmel C, Tuli G, Varrelman TJ, Han AR, Angkab P, Kosiyaporn H, Netrpukdee C, Sorndamrih S, Thamarangsi T, Brownstein JS, Astley CM. COVID-19 Vaccine Acceptance and Uptake in Bangkok, Thailand: Cross-sectional Online Survey. JMIR Public Health and Surveillance 2023;9:e40186
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  27. Nixon E, Silvonen T, Barreaux A, Kwiatkowska R, Trickey A, Thomas A, Ali B, Treneman-Evans G, Christensen H, Brooks-Pollock E, Denford S. A mixed methods analysis of participation in a social contact survey. Epidemics 2022;41:100635
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  28. Marmara V, Marmara D, McMenemy P, Kleczkowski A. Cross-sectional telephone surveys as a tool to study epidemiological factors and monitor seasonal influenza activity in Malta. BMC Public Health 2021;21(1)
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  29. Maharaj AS, Parker J, Hopkins JP, Gournis E, Bogoch II, Rader B, Astley CM, Ivers NM, Hawkins JB, Lee L, Tuite AR, Fisman DN, Brownstein JS, Lapointe-Shaw L, Lau EH. Comparison of longitudinal trends in self-reported symptoms and COVID-19 case activity in Ontario, Canada. PLOS ONE 2022;17(1):e0262447
    CrossRef
  30. Graham MS, May A, Varsavsky T, Sudre CH, Murray B, Kläser K, Antonelli M, Canas LS, Molteni E, Modat M, Cardoso MJ, Drew DA, Nguyen LH, Rader B, Hu C, Capdevila J, Hammers A, Chan AT, Wolf J, Brownstein JS, Spector TD, Ourselin S, Steves CJ, Astley CM, García Peña C. Knowledge barriers in a national symptomatic-COVID-19 testing programme. PLOS Global Public Health 2022;2(1):e0000028
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  31. Wittwer S, Paolotti D, Lichand G, Leal Neto O. Participatory Surveillance for COVID-19 Trend Detection in Brazil: Cross-sectional Study. JMIR Public Health and Surveillance 2023;9:e44517
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  37. Mendoza K, Villalobos-Daniel VE, Jáuregui A, Valero-Morales I, Hernández-Alcaraz C, Zacarías-Alejandro N, Alarcon-Guevara RO, Barquera S. Development of a crowdsourcing- and gamification-based mobile application to collect epidemiological information and promote healthy lifestyles in Mexico. Scientific Reports 2024;14(1)
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According to Crossref, the following books are citing this article (DOI 10.2196/publichealth.7304):

  1. Mondal S, Rehena Z. Internet of Things Based Smart Healthcare. 2022. Chapter 14:307
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  2. Mondal S, Rehena Z, Mukherjee N. Internet of Things Based Smart Healthcare. 2022. Chapter 13:291
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  3. Richiardi L, Pizzi C, Paolotti D, Blumenberg C. Handbook of Epidemiology. 2023. Chapter 59-1:1
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