Explore our sister journals here.

Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Published on 06.06.18 in Vol 6, No 6 (2018): June

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

Works citing "A New Influenza-Tracking Smartphone App (Flu-Report) Based on a Self-Administered Questionnaire: Cross-Sectional Study"

Kazutoshi Fujibayashi, Hiromizu Takahashi, Mika Tanei, Yuki Uehara, Hirohide Yokokawa, Toshio Naito

JMIR Mhealth Uhealth 2018 (Jun 06); 6(6):e136 

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.9834):

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

  1. Inomata T, Iwagami M, Nakamura M, Shiang T, Yoshimura Y, Fujimoto K, Okumura Y, Eguchi A, Iwata N, Miura M, Hori S, Hiratsuka Y, Uchino M, Tsubota K, Dana R, Murakami A. Characteristics and Risk Factors Associated With Diagnosed and Undiagnosed Symptomatic Dry Eye Using a Smartphone Application. JAMA Ophthalmology 2020;138(1):58
    CrossRef
  2. Aslani N, Lazem M, Mahdavi S, Garavand A. A Review of Mobile Health Applications in Epidemic and Pandemic Outbreaks: Lessons Learned for COVID-19. Archives of Clinical Infectious Diseases 2020;15(4)
    CrossRef
  3. 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
  4. Inomata T, Sung J, Nakamura M, Fujisawa K, Muto K, Ebihara N, Iwagami M, Fujio K, Okumura Y, Okano M, Murakami A. New medical big data for P4 medicine on allergic conjunctivitis. Allergology International 2020;69(4):510
    CrossRef
  5. 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
  6. Kleber G, Alves D, Paiva JD, Diógenes D, Valentim R, Medeiros A. SOS Syphilis: smartphone application for the mapping of syphilis attention networks.. Procedia Computer Science 2021;181:434
    CrossRef
  7. Inomata T, Sung J, Nakamura M, Iwagami M, Okumura Y, Iwata N, Midorikawa-Inomata A, Fujimoto K, Eguchi A, Nagino K, Fujio K, Miura M, Shokirova H, Murakami A. Using Medical Big Data to Develop Personalized Medicine for Dry Eye Disease. Cornea 2020;39(1):S39
    CrossRef
  8. Asadzadeh A, Kalankesh LR. A scope of mobile health solutions in COVID-19 pandemics. Informatics in Medicine Unlocked 2021;23:100558
    CrossRef
  9. Nishioka Y, Noda T, Okada S, Myojin T, Kubo S, Higashino T, Nakajima H, Sugiyama T, Ishii H, Imamura T. Association between influenza and the incidence rate of new‐onset type 1 diabetes in Japan. Journal of Diabetes Investigation 2021;12(10):1797
    CrossRef
  10. Salehinejad S, Niakan Kalhori SR, Hajesmaeel Gohari S, Bahaadinbeigy K, Fatehi F. A review and content analysis of national apps for COVID-19 management using Mobile Application Rating Scale (MARS). Informatics for Health and Social Care 2021;46(1):42
    CrossRef
  11. Zhang MWB, Chow A, Ho RCM, Smith HE. An Overview of Commercially Available Apps in the Initial Months of the COVID-19 Pandemic. Frontiers in Psychiatry 2021;12
    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. Chen Q, Tsubaki M, Minami Y, Fujibayashi K, Yumoto T, Kamei J, Yamada Y, Kominato H, Oono H, Naito T. Using Mobile Phone Data to Estimate the Relationship between Population Flow and Influenza Infection Pathways. International Journal of Environmental Research and Public Health 2021;18(14):7439
    CrossRef
  14. Narayan KA, Nayak MSDP. Community Based Self-Administered Syndromic Surveillance Mobile Application – A Strategic Approach to Monitor COVID Situation at Micro Level. National Journal of Community Medicine 2022;11(10):395
    CrossRef
  15. Hasan N, Bao Y, Chiong R. A multi-method analytical approach to predicting young adults’ intention to invest in mHealth during the COVID-19 pandemic. Telematics and Informatics 2022;68:101765
    CrossRef
  16. Sharma S, Kumari B, Ali A, Yadav R, Sharma A, Sharma K, Hajela K, Singh G. Mobile technology: A tool for healthcare and a boon in pandemic. Journal of Family Medicine and Primary Care 2022;11(1):37
    CrossRef
  17. Atkins N, Harikar M, Duggan K, Zawiejska A, Vardhan V, Vokey L, Dozier M, de los Godos EF, Mcswiggan E, Mcquillan R, Theodoratou E, Shi T. What are the characteristics of participatory surveillance systems for influenza-like-illness?. Journal of Global Health 2023;13
    CrossRef
  18. Amiri P, Nadri H, Bahaadinbeigy K. Facilitators and barriers of mHealth interventions during the Covid-19 pandemic: systematic review. BMC Health Services Research 2023;23(1)
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.9834):

  1. Niwa M, Hara Y. Mobile Health (mHealth). 2022. Chapter 5:117
    CrossRef