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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9302, first published .
The Rise and Need for Mobile Apps for Maternal and Child Health Care in China: Survey Based on App Markets

The Rise and Need for Mobile Apps for Maternal and Child Health Care in China: Survey Based on App Markets

The Rise and Need for Mobile Apps for Maternal and Child Health Care in China: Survey Based on App Markets

Journals

  1. Shang J, Wei S, Jin J, Zhang P. Mental Health Apps in China: Analysis and Quality Assessment. JMIR mHealth and uHealth 2019;7(11):e13236 View
  2. Wang Y, Liu Y, Shi Y, Yu Y, Yang J. User Perceptions of Virtual Hospital Apps in China: Systematic Search. JMIR mHealth and uHealth 2020;8(8):e19487 View
  3. Yao D. Self-medication with Chinese Medicine Online. Medical Anthropology 2021;40(3):267 View
  4. Yang H, Zhang X. Investigating the Effect of Paid and Free Feedback About Physicians' Telemedicine Services on Patients’ and Physicians’ Behaviors: Panel Data Analysis. Journal of Medical Internet Research 2019;21(3):e12156 View
  5. Gyselaers W, Lanssens D, Perry H, Khalil A. Mobile Health Applications for Prenatal Assessment and Monitoring. Current Pharmaceutical Design 2019;25(5):615 View
  6. Wang N, Deng Z, Wen L, Ding Y, He G. Understanding the Use of Smartphone Apps for Health Information Among Pregnant Chinese Women: Mixed Methods Study. JMIR mHealth and uHealth 2019;7(6):e12631 View
  7. Areemit R, Lumbiganon P, Suphakunpinyo C, Jetsrisuparb A, Sutra S, Sripanidkulchai K. A Mobile App, KhunLook, to Support Thai Parents and Caregivers With Child Health Supervision: Development, Validation, and Acceptability Study. JMIR mHealth and uHealth 2020;8(10):e15116 View
  8. Padró‐Arocas A, Quifer‐Rada P, Aguilar‐Camprubí L, Mena‐Tudela D. Description of an mHealth tool for breastfeeding support: LactApp. Analysis of how lactating mothers seek support at critical breastfeeding points and according to their infant's age. Research in Nursing & Health 2021;44(1):173 View

Books/Policy Documents

  1. de Moraes Lopes M, Ferreira D, Ferreira A, da Silva G, Caetano A, Braz V. Artificial Intelligence in Precision Health. View
  2. Mukami V, Millham R, Puckree T, Fong S. Proceeding of First Doctoral Symposium on Natural Computing Research. View