Skip to contentMasud Rabbani
CV
Menu

Conference articles · 2020

Towards Developing A Mobile-Based Care for Children with Autism Spectrum Disorder (mCARE) in low and middle-income countries (LMICs) like Bangladesh

2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC) · Pages 746–753

Abstract

This paper describes a mobile-based care system (mCARE), which is a novel tool to routinely and systematically collect behavior and developmental parameter children with Autism Spectrum Disorder (ASD) from the low-and middle-income countries (LMICs) like Bangladesh. It is the first clinical decision support system for the ASD children in LMICs that has been proved efficient to assist them in data-driven decision making by using a remote Experience Sampling Method (ESM). Unlike other ESM, instead of taking a report from patients, mCARE introduce caregivers as the reporter. mCARE has deployed Value Sensitive Design (VSD) and Human-Computer Interaction (HCI) in its design process as well as Fogg’s Behavior Model (FBM) to assist caregivers in developing and sustain the habit of logging data regularly over a long period. mCARE has accumulated its goal by implementing three tools: mCARE-APP, mCARE-SMS, and mCARE-DMP. The successful completion of the project using this mCARE can ensure the overall quality of care (QoC) of ASD in LMICs, including Bangladesh. The usability and cost-benefit analysis have also shown the potential of mCARE to be scaled to serve a large population in Bangladesh and beyond.

Publication details

Category
Conference articles
Authors & affiliations
  1. Munirul M. HaqueR. B. Annis School of Engineering, University of Indianapolis, Indianapolis, Indiana
  2. Dipranjan Das DipalDepartment of Computer Science, Ubicomp Lab, Marquette University, Milwaukee, WI 53201-1881
  3. Masud RabbaniDepartment of Computer Science, Ubicomp Lab, Marquette University, Milwaukee, WI 53201-1881
  4. Md Ishrak Islam ZarifDepartment of Computer Science, Ubicomp Lab, Marquette University, Milwaukee, WI 53201-1881
  5. Anik IqbalDepartment of Computer Science, Ubicomp Lab, Marquette University, Milwaukee, WI 53201-1881
  6. Shaheen AkhterInstitute of Paediatric Neurodisorder & Autism (IPNA), Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh
  7. Shahana ParveenNational Institute of Mental Health, Dhaka, Bangladesh
  8. Mohammad RaselInstitute of Paediatric Neurodisorder & Autism (IPNA), Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh
  9. Basana Rani MuhuriPaediatric Nephrology, Chittagong Medical College (PRL)
  10. Tanjir SoronTelepsychiatry Research and Innovation Network Ltd
  11. Syed Ishtiaque AhmedDepartment of Computer Science, University of Toronto, ON, Canada
  12. Sheikh Iqbal AhamedDepartment of Computer Science, Ubicomp Lab, Marquette University, Milwaukee, WI 53201-1881
Venue
2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)
Publisher
IEEE
Record
Pages 746–753
Published
2020
Cite this work

Munirul M. Haque, Dipranjan Das Dipal, Masud Rabbani, Md Ishrak Islam Zarif, Anik Iqbal, Shaheen Akhter, Shahana Parveen, Mohammad Rasel, Basana Rani Muhuri, Tanjir Soron, Syed Ishtiaque Ahmed, Sheikh Iqbal Ahamed. “Towards Developing A Mobile-Based Care for Children with Autism Spectrum Disorder (mCARE) in low and middle-income countries (LMICs) like Bangladesh”. 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC), 746–753. (2020). https://doi.org/10.1109/COMPSAC48688.2020.0-170.

Research topics

  • Autism Spectrum Disorder (ASD)
  • Low-and Middle-Income Countries (LMICs)
  • Fogg’s Behavior Model (FBM)
  • Value Sensitive Design (VSD)
  • Quality of Care (QoC)
  • mCARE
  • autism spectrum disorder
  • remote monitoring
  • experience sampling
  • mobile health
  • LMICs
  • Bangladesh