ReviewJournal of industrial textiles2022
Advanced materials used in wearable health care devices and medical textiles in the battle against coronavirus (COVID-19): A review.
Review in Journal of industrial textiles, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Functionalization of Textile Materials for Advanced Engineering Applications.International journal of molecular sciences · 2026Review
- Green approach for improving functionality of medical protective textiles using ZnO NPs.Scientific reports · 2026Article
- Organogels for the Preservation of Cultural Heritage.Gels (Basel, Switzerland) · 2025Review
- Evaluating the Chemical Resistance and Performance of Thermochromic Polymers for Food Packaging.Materials (Basel, Switzerland) · 2025Article
- Cold atmospheric plasma deposition of antibacterial polypyrrole-silver nanocomposites on wearable electronics for prolonged performance.Journal of materials chemistry. C · 2024Article
- Overcoming Challenges and Innovations in Orthopedic Prosthesis Design: An Interdisciplinary Perspective.Biomedical materials & devices (New York, N.Y.) · 2023Review
- Antimicrobial Properties of Plant Fibers.Molecules (Basel, Switzerland) · 2022Review
- State-of-the-art review of advanced electrospun nanofiber yarn-based textiles for biomedical applications.Applied materials today · 2022Review
- Structure/Function Analysis of Truncated Amino-Terminal ACE2 Peptide Analogs That Bind to SARS-CoV-2 Spike Glycoprotein.Molecules (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The novel coronavirus disease (COVID-19) has generated great confusion around the world, affecting people's lives and producing a large number of deaths. The development of portable and wearable devices is of great importance in several fields such as point-of-care medical applications and environmental monitoring. Wearable devices with an ability to collect various types of physiological records are progressively becoming incorporated into everyday life of people. Physiological indicators are essential health indicators and their monitoring could efficiently enable early discovery of disease. This would also help decrease the number of extra severe health problems, in disease avoidance, and lower the overall public sector health cost. Protective clothing is nowadays a main part of textiles classified as technical or industrial textiles. Protective clothing aims to protect its wearer from the harsh environmental impacts that may result in injury or death. Providing protection for the common population has also been taken seriously considering the anticipated disaster due to virus attacks. This review highlights the properties of the materials that are used in wearable health care device and medical textiles.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.