Wearable vital-sign sensors for early detection of severe dengue and sepsis: Clinical applications and implementation in resource-limited settings

Early evidence shows that low-cost wearable sensors can deliver clinically meaningful lead times for severe dengue and sepsis in developing countries' hospitals. However, generalizability, artifact suppression, power autonomy, and economic sustainability remain unproven. Multicentre pragmatic trials, edge-optimized algorithms, and full cost-effectiveness analyses are needed before routine adoption.

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Publication Details

Journal
Digital Health
Published
2025-05-01
DOI
https://doi.org/10.1177/20552076251396563
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.00
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article

Wearable vital-sign sensors for early detection of severe dengue and sepsis: Clinical applications and implementation in resource-limited settings

Zhinya Kawa Othman, Olalekan John Okesanya, Shuaibu Saidu Musa, Francesco Branda et al.
Digital Health
Non-Invasive Vital Sign Monitoring
article

Wearable vital-sign sensors for early detection of severe dengue and sepsis: Clinical applications and implementation in resource-limited settings

Zhinya Kawa Othman, Olalekan John Okesanya, Shuaibu Saidu Musa, Francesco Branda, Don Eliseo Lucero‐Prisno, Mohamed Mustaf Ahmed, Sumaya Mahamud Mahamed
article en

Abstract

Early evidence shows that low-cost wearable sensors can deliver clinically meaningful lead times for severe dengue and sepsis in developing countries' hospitals. However, generalizability, artifact suppression, power autonomy, and economic sustainability remain unproven. Multicentre pragmatic trials, edge-optimized algorithms, and full cost-effectiveness analyses are needed before routine adoption.

Digital HealthVol. 11
Bukidnon State University (PH), University of Thessaly (GR), Università Campus Bio-Medico (IT), Chulalongkorn University (TH), Cebu Normal University (PH), Federal Neuro Psychiatric Hospital (NG), Sulaimani Polytechnic University (IQ), London School of Hygiene & Tropical Medicine (GB), SIMAD University (SO)
Openalex Percentile: Top 67%
Non-Invasive Vital Sign Monitoring
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