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Citing this Article

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Published on 01.11.17 in Vol 3, No 4 (2017): Oct-Dec

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

Works citing "Combining Participatory Influenza Surveillance with Modeling and Forecasting: Three Alternative Approaches"

John S Brownstein, Shuyu Chu, Achla Marathe, Madhav V Marathe, Andre T Nguyen, Daniela Paolotti, Nicola Perra, Daniela Perrotta, Mauricio Santillana, Samarth Swarup, Michele Tizzoni, Alessandro Vespignani, Anil Kumar S Vullikanti, Mandy L Wilson, Qian Zhang

JMIR Public Health Surveill 2017 (Nov 01); 3(4):e83 

According to Crossref, the following articles are citing this article (DOI 10.2196/publichealth.7344):

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

  1. Singh M, Sarkhel P, Kang GJ, Marathe A, Boyle K, Murray-Tuite P, Abbas KM, Swarup S. Impact of demographic disparities in social distancing and vaccination on influenza epidemics in urban and rural regions of the United States. BMC Infectious Diseases 2019;19(1)
    CrossRef
  2. Luo H, Lie Y, Prinzen FW. Surveillance of COVID-19 in the General Population Using an Online Questionnaire: Report From 18,161 Respondents in China. JMIR Public Health and Surveillance 2020;6(2):e18576
    CrossRef
  3. Chan AT, Brownstein JS. Putting the Public Back in Public Health — Surveying Symptoms of Covid-19. New England Journal of Medicine 2020;383(7)
    CrossRef
  4. Scarpino SV, Scott JG, Eggo RM, Clements B, Dimitrov NB, Meyers LA, Ferrari M. Socioeconomic bias in influenza surveillance. PLOS Computational Biology 2020;16(7):e1007941
    CrossRef
  5. Weitzman ER, Magane KM, Chen P, Amiri H, Naimi TS, Wisk LE. Online Searching and Social Media to Detect Alcohol Use Risk at Population Scale. American Journal of Preventive Medicine 2020;58(1):79
    CrossRef
  6. Caldwell WK, Fairchild G, Del Valle SY. Surveilling Influenza Incidence With Centers for Disease Control and Prevention Web Traffic Data: Demonstration Using a Novel Dataset. Journal of Medical Internet Research 2020;22(7):e14337
    CrossRef
  7. Chen J, Marathe A, Marathe M. Feedback Between Behavioral Adaptations and Disease Dynamics. Scientific Reports 2018;8(1)
    CrossRef
  8. Wakamiya S, Matsune S, Okubo K, Aramaki E. Causal Relationships Among Pollen Counts, Tweet Numbers, and Patient Numbers for Seasonal Allergic Rhinitis Surveillance: Retrospective Analysis. Journal of Medical Internet Research 2019;21(2):e10450
    CrossRef
  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. Fujibayashi K, Takahashi H, Tanei M, Uehara Y, Yokokawa H, Naito T. A New Influenza-Tracking Smartphone App (Flu-Report) Based on a Self-Administered Questionnaire: Cross-Sectional Study. JMIR mHealth and uHealth 2018;6(6):e136
    CrossRef
  11. Koehlmoos TP, Janvrin ML, Korona-Bailey J, Madsen C, Sturdivant R. COVID-19 Self-Reported Symptom Tracking Programs in the United States: Framework Synthesis. Journal of Medical Internet Research 2020;22(10):e23297
    CrossRef
  12. 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
    CrossRef
  13. Lu FS, Nguyen AT, Link NB, Molina M, Davis JT, Chinazzi M, Xiong X, Vespignani A, Lipsitch M, Santillana M, Viboud C. Estimating the cumulative incidence of COVID-19 in the United States using influenza surveillance, virologic testing, and mortality data: Four complementary approaches. PLOS Computational Biology 2021;17(6):e1008994
    CrossRef
  14. Tozzi AE, Gesualdo F, Urbani E, Sbenaglia A, Ascione R, Procopio N, Croci I, Rizzo C. Digital Surveillance Through an Online Decision Support Tool for COVID-19 Over One Year of the Pandemic in Italy: Observational Study. Journal of Medical Internet Research 2021;23(8):e29556
    CrossRef
  15. Gardner RL, Haskell J, Jenkins B, Capizzo LF, Cooper EL, Morphis B. Innovative Use of a Mobile Web Application to Remotely Monitor Nonhospitalized Patients with COVID-19. Telemedicine and e-Health 2022;28(9):1285
    CrossRef
  16. 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)
    CrossRef
  17. 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
  18. Ganser I, Thiébaut R, Buckeridge DL. Global Variations in Event-Based Surveillance for Disease Outbreak Detection: Time Series Analysis. JMIR Public Health and Surveillance 2022;8(10):e36211
    CrossRef
  19. 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
    CrossRef
  20. Bedi J, Vijay D, Dhaka P, Singh Gill J, Barbuddhe S. Emergency preparedness for public health threats, surveillance, modelling & forecasting. Indian Journal of Medical Research 2021;153(3):287
    CrossRef
  21. Luca M, Campedelli GM, Centellegher S, Tizzoni M, Lepri B. Crime, inequality and public health: a survey of emerging trends in urban data science. Frontiers in Big Data 2023;6
    CrossRef
  22. Morris M, Hayes P, Cox IJ, Lampos V, Lofgren E. Neural network models for influenza forecasting with associated uncertainty using Web search activity trends. PLOS Computational Biology 2023;19(8):e1011392
    CrossRef
  23. 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
  24. 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)
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/publichealth.7344):

  1. Spitzberg BH, Tsou M, Jung C. The Handbook of Applied Communication Research. 2020. :163
    CrossRef