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

Development of Novel Medical Devices and Innovations for Existing Devices (92) Design and Formative Evaluation of Mobile Apps (774) Health Services in Resource-Poor Settings and LMICs (479) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (660) mHealth in a Clinical Setting (699) mHealth for Data Collection and Research (1117)

Published on in Vol 7, No 2 (2022): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40066, first published .
Accuracy of Fully Automated 3D Imaging System for Child Anthropometry in a Low-Resource Setting: Effectiveness Evaluation in Malakal, South Sudan

Accuracy of Fully Automated 3D Imaging System for Child Anthropometry in a Low-Resource Setting: Effectiveness Evaluation in Malakal, South Sudan

Accuracy of Fully Automated 3D Imaging System for Child Anthropometry in a Low-Resource Setting: Effectiveness Evaluation in Malakal, South Sudan

Authors of this article:

Eva Leidman1 Author Orcid Image ;   Muhammad Ali Jatoi2 Author Orcid Image ;   Iris Bollemeijer3 Author Orcid Image ;   Jennifer Majer3 Author Orcid Image ;   Shannon Doocy1 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

Eva Leidman   1 , MSPH ;   Muhammad Ali Jatoi   2 , DPH, DHDN, MS ;   Iris Bollemeijer   3 , MSc ;   Jennifer Majer   3 , MA, MSc ;   Shannon Doocy   1 , PhD

1 Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States

2 International Medical Corps, Juba, South Sudan

3 International Medical Corps, Los Angeles, CA, United States

Corresponding Author:

  • Eva Leidman, MSPH
  • Department of International Health
  • Johns Hopkins Bloomberg School of Public Health
  • 615 N. Wolfe Street
  • Baltimore, MD 21205
  • United States
  • Phone: 1 4049085125
  • Email: eleidman@jhu.edu