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

Vaccination and Immunization in the Digital Age (374) Connected Health Conference 2017 (2) Parent and Caregiver Education and Behavior Change for Vaccination (74)

Published on in Vol 4, No 3 (2018): Jul-Sept

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9681, first published .
Using Predictive Analytics to Identify Children at High Risk of Defaulting From a Routine Immunization Program: Feasibility Study

Using Predictive Analytics to Identify Children at High Risk of Defaulting From a Routine Immunization Program: Feasibility Study

Using Predictive Analytics to Identify Children at High Risk of Defaulting From a Routine Immunization Program: Feasibility Study

Authors of this article:

Subhash Chandir1, 2 Author Orcid Image ;   Danya Arif Siddiqi3 Author Orcid Image ;   Owais Ahmed Hussain4 Author Orcid Image ;   Tahira Niazi4 Author Orcid Image ;   Mubarak Taighoon Shah3 Author Orcid Image ;   Vijay Kumar Dharma3 Author Orcid Image ;   Ali Habib4 Author Orcid Image ;   Aamir Javed Khan3 Author Orcid Image
Article Authors Cited by (17) Tweetations (3) Metrics

Subhash Chandir   1, 2 , MBBS, MPH, PhD ;   Danya Arif Siddiqi   3 , MSc ;   Owais Ahmed Hussain   4 , MS ;   Tahira Niazi   4 , BS ;   Mubarak Taighoon Shah   3 , PharmD, MPhil ;   Vijay Kumar Dharma   3 , MBBS, MPhil ;   Ali Habib   4 , MEng ;   Aamir Javed Khan   3 , MD, PhD

1 Harvard Medical School Center for Global Health Delivery–Dubai, Dubai Healthcare City, United Arab Emirates

2 Interactive Research and Development, Baltimore, MD, United States

3 Interactive Research and Development, Karachi, Pakistan

4 Interactive Health Solutions, Karachi, Pakistan

Corresponding Author:

  • Subhash Chandir, MBBS, MPH, PhD
  • Harvard Medical School Center for Global Health Delivery–Dubai
  • Building 14,
  • Dubai Healthcare City
  • United Arab Emirates
  • Phone: 971 44221742
  • Fax: 971 44225814
  • Email: subhash.chandir@ird.global