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Peer-Reviewed Publication
PLOS Digit Health2024;3(10):e0000634.October 1, 2024Journal Article

A novel digital health approach to improving global pediatric sepsis care in Bangladesh using wearable technology and machine learning.

Stephanie C Garbern1, Gazi Md Salahuddin Mamun2, Shamsun Nahar Shaima2, Nicole Hakim3, Stephan Wegerich3, Srilakshmi Alla3, Monira Sarmin2, Farzana Afroze2, Jadranka Sekaric3, Alicia Genisca1, Nidhi Kadakia1, Kikuyo Shaw4, Abu Sayem Mirza Md Hasibur Rahman2, Monique Gainey1, Tahmeed Ahmed2, Mohammod Jobayer Chisti2, Adam C Levine1
1Department of Emergency Medicine, Warren Alpert Medical School, Brown University, Providence, Rhode Island, United States of America.
2International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
3PhysIQ, Inc. Chicago, Illinois, United States of America.
4Brown University, Providence, Rhode Island, United States of America.
PubMed PMC DOI PDF

Abstract

Sepsis is the leading cause of child death globally with low- and middle-income countries (LMICs) bearing a disproportionate burden of pediatric sepsis deaths. Limited diagnostic and critical care capacity and health worker shortages contribute to delayed recognition of advanced sepsis (severe sepsis, septic shock, and/or multiple organ dysfunction) in LMICs. The aims of this study were to 1) asse…

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