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

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