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

Development of Novel Medical Devices and Innovations for Existing Devices (21) Design and Formative Evaluation of Mobile Apps (569) Health Services in Resource-Poor Settings and LMICs (290) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (406) mHealth in a Clinical Setting (492) mHealth for Data Collection and Research (675)

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 Leidman 1 Author Orcid Image ;   Muhammad Ali Jatoi 2 Author Orcid Image ;   Iris Bollemeijer 3 Author Orcid Image ;   Jennifer Majer 3 Author Orcid Image ;   Shannon Doocy 1 Author Orcid Image
Article Authors Cited by 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 , US

2 International Medical Corps , Juba , SS

3 International Medical Corps , Los Angeles , CA , US

Corresponding Author:

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