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Citing this Article

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Published on 19.09.17 in Vol 3, No 3 (2017): Jul-Sept

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

Works citing "Influenzanet: Citizens Among 10 Countries Collaborating to Monitor Influenza in Europe"

Carl E Koppeschaar, Vittoria Colizza, Caroline Guerrisi, Clément Turbelin, Jim Duggan, W John Edmunds, Charlotte Kjelsø, Ricardo Mexia, Yamir Moreno, Sandro Meloni, Daniela Paolotti, Daniela Perrotta, Edward van Straten, Ana O Franco

JMIR Public Health Surveill 2017 (Sep 19); 3(3):e66 

According to Crossref, the following articles are citing this article (DOI 10.2196/publichealth.7429):

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

  1. 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
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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
    CrossRef
  3. 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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  4. Geneviève LD, Martani A, Wangmo T, Paolotti D, Koppeschaar C, Kjelsø C, Guerrisi C, Hirsch M, Woolley-Meza O, Lukowicz P, Flahault A, Elger BS. Participatory Disease Surveillance Systems: Ethical Framework. Journal of Medical Internet Research 2019;21(5):e12273
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  5. . Dijital epidemiyoloji. Türkiye Halk Sağlığı Dergisi 2020;18(2):192
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  6. 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
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  7. Aiello AE, Renson A, Zivich PN. Social Media– and Internet-Based Disease Surveillance for Public Health. Annual Review of Public Health 2020;41(1):101
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  8. Loef B, van Baarle D, van der Beek AJ, Sanders EAM, Bruijning-Verhagen P, Proper KI. Shift Work and Respiratory Infections in Health-Care Workers. American Journal of Epidemiology 2019;188(3):509
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  9. 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
  10. 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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  11. Richard A, Müller L, Wisniak A, Thiabaud A, Merle T, Dietrich D, Paolotti D, Jeannot E, Flahault A. Grippenet: A New Tool for the Monitoring, Risk-Factor and Vaccination Coverage Analysis of Influenza-Like Illness in Switzerland. Vaccines 2020;8(3):343
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  12. Geneviève LD, Wangmo T, Dietrich D, Woolley-Meza O, Flahault A, Elger BS. Research Ethics in the European Influenzanet Consortium: Scoping Review. JMIR Public Health and Surveillance 2018;4(4):e67
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  13. . 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
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  14. de Gier B, de Oliveira Bressane Lima P, van Gaalen RD, de Boer PT, Alblas J, Ruijten M, van Gageldonk-Lafeber AB, Waegemaekers T, Schreijer A, van den Hof S, Hahné SJ. Occupation- and age-associated risk of SARS-CoV-2 test positivity, the Netherlands, June to October 2020. Eurosurveillance 2020;25(50)
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  15. Roy S, Cherevko A, Chakraborty S, Ghosh N, Ghosh P. Leveraging Network Science for Social Distancing to Curb Pandemic Spread. IEEE Access 2021;9:26196
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  16. Ali ST, Cowling BJ. Influenza Virus: Tracking, Predicting, and Forecasting. Annual Review of Public Health 2021;42(1):43
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  17. Mahmud AS, Chowdhury S, Sojib KH, Chowdhury A, Quader MT, Paul S, Saidy MS, Uddin R, Engø-Monsen K, Buckee CO. Participatory syndromic surveillance as a tool for tracking COVID-19 in Bangladesh. Epidemics 2021;35:100462
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  18. McDonald SA, van den Wijngaard CC, Wielders CCH, Friesema IHM, Soetens L, Paolotti D, van den Hof S, van Hoek AJ. 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
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  19. De Ridder D, Loizeau AJ, Sandoval JL, Ehrler F, Perrier M, Ritch A, Violot G, Santolini M, Greshake Tzovaras B, Stringhini S, Kaiser L, Pradeau J, Joost S, Guessous I. Detection of Spatiotemporal Clusters of COVID-19–Associated Symptoms and Prevention Using a Participatory Surveillance App: Protocol for the @choum Study. JMIR Research Protocols 2021;10(10):e30444
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  20. Kostkova P, Saigí-Rubió F, Eguia H, Borbolla D, Verschuuren M, Hamilton C, Azzopardi-Muscat N, Novillo-Ortiz D. Data and Digital Solutions to Support Surveillance Strategies in the Context of the COVID-19 Pandemic. Frontiers in Digital Health 2021;3
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  21. Cawley C, Bergey F, Mehl A, Finckh A, Gilsdorf A. Novel Methods in the Surveillance of Influenza-Like Illness in Germany Using Data From a Symptom Assessment App (Ada): Observational Case Study. JMIR Public Health and Surveillance 2021;7(11):e26523
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  22. Plans Rubió P, Jambrina A, Rius P, Carmona G, Rabanal M, Gironès M. High Influenza Vaccine Effectiveness and Absence of Increased Influenza-like-Illness Epidemic Activity in the 2021–2022 Influenza Season in Catalonia (Spain) Based on Surveillance Data Collected by Sentinel Pharmacies. Vaccines 2022;10(12):2140
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  23. Roy S, Ghosh P. Scalable and distributed strategies for socially distanced human mobility. Applied Network Science 2021;6(1)
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  24. Wang Z, Ntambara J, Lu Y, Dai W, Meng R, Qian D. Construction of Influenza Early Warning Model Based on Combinatorial Judgment Classifier: A Case Study of Seasonal Influenza in Hong Kong. Current Medical Science 2022;42(1):226
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  25. 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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  26. Rosenfeld R, Tibshirani RJ. Epidemic tracking and forecasting: Lessons learned from a tumultuous year. Proceedings of the National Academy of Sciences 2021;118(51)
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  27. Gendy MEG, Yuce MR. Emerging Technologies Used in Health Management and Efficiency Improvement During Different Contact Tracing Phases Against COVID-19 Pandemic. IEEE Reviews in Biomedical Engineering 2023;16:38
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  28. Melms L, Falk E, Schieffer B, Jerrentrup A, Wagner U, Matrood S, Schaefer JR, Müller T, Hirsch M, Cheong SA. Towards a COVID-19 symptom triad: The importance of symptom constellations in the SARS-CoV-2 pandemic. PLOS ONE 2021;16(11):e0258649
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  29. Leal-Neto O, Egger T, Schlegel M, Flury D, Sumer J, Albrich W, Babouee Flury B, Kuster S, Vernazza P, Kahlert C, Kohler P. Digital SARS-CoV-2 Detection Among Hospital Employees: Participatory Surveillance Study. JMIR Public Health and Surveillance 2021;7(11):e33576
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  30. Storey VC, Lukyanenko R, Grange C. Fighting Pandemics with Physical Distancing Management Technologies. Journal of Database Management 2022;33(1):1
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  31. Roy S, Biswas P, Ghosh P. Spatiotemporal tracing of pandemic spread from infection data. Scientific Reports 2021;11(1)
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  32. Teirlinck AC, de Gier B, Meijer A, Donker G, de Lange M, Koppeschaar C, van der Hoek W, Kretzschmar ME, McDonald SA. The incidence of symptomatic infection with influenza virus in the Netherlands 2011/2012 through 2016/2017, estimated using Bayesian evidence synthesis. Epidemiology and Infection 2019;147
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  33. Tsang TK, Huang X, Guo Y, Lau EHY, Cowling BJ, Ip DKM. Monitoring School Absenteeism for Influenza-Like Illness Surveillance: Systematic Review and Meta-analysis. JMIR Public Health and Surveillance 2023;9:e41329
    CrossRef
  34. Shausan A, Nazarathy Y, Dyda A. Emerging data inputs for infectious diseases surveillance and decision making. Frontiers in Digital Health 2023;5
    CrossRef
  35. Zhang X, Jin Y, Lu Y, Huang L, Wu C, Lv S, Chen Z, Xiang H, Zhou X. Infectious disease control: from health security strengthening to health systems improvement at global level. Global Health Research and Policy 2023;8(1)
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  36. Greffe S, Guerrisi C, Souty C, Vilcu A, Hayem G, Costantino F, Padovano I, Bourgault I, Trad S, Ponsoye M, Vilaine E, Debin M, Turbelin C, Blanchon T, Hanslik T. Influenza‐like illness in individuals treated with immunosuppressants, biologics, and/or systemic corticosteroids for autoimmune or chronic inflammatory disease: A crowdsourced cohort study, France, 2017–2018. Influenza and Other Respiratory Viruses 2023;17(6)
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  37. Bokányi E, Vizi Z, Koltai J, Röst G, Karsai M. Real-time estimation of the effective reproduction number of COVID-19 from behavioral data. Scientific Reports 2023;13(1)
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  38. Dall’Amico L, Kleynhans J, Gauvin L, Tizzoni M, Ozella L, Makhasi M, Wolter N, Language B, Wagner RG, Cohen C, Tempia S, Cattuto C, Aleta A. Estimating household contact matrices structure from easily collectable metadata. PLOS ONE 2024;19(3):e0296810
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/publichealth.7429):

  1. Lipsitch M, Santillana M. Global Catastrophic Biological Risks. 2019. Chapter 172:59
    CrossRef
  2. Primo PPB, Antunes MN, Ramos MP, Siqueira CEG, Oliveira AE, Mendes JM. Digital Services in Crisis, Disaster, and Emergency Situations. 2021. chapter 4:77
    CrossRef
  3. . Handbook of Computational Social Science for Policy. 2023. Chapter 15:279
    CrossRef
  4. Richiardi L, Pizzi C, Paolotti D, Blumenberg C. Handbook of Epidemiology. 2023. Chapter 59-1:1
    CrossRef