Evidence map›Paper›PMID 34072174›Full record

ReviewMicromachines2021

Monitoring Symptoms of Infectious Diseases: Perspectives for Printed Wearable Sensors.

Ala'aldeen Al-Halhouli, Ahmed Albagdady, Ja'far Alawadi, Mahmoud Abu Abeeleh

Abstract readReview
In one paragraph

Review in Micromachines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ala'aldeen Al-HalhouliNanoLab/Mechatronics Engineering Department, School of Applied Technical Sciences, German Jordanian University (GJU), Amman 11180, Jordan.ORCID 0000-0003-1078-7583
Ahmed AlbagdadyNanoLab/Mechatronics Engineering Department, School of Applied Technical Sciences, German Jordanian University (GJU), Amman 11180, Jordan.ORCID 0000-0001-5556-4581
Ja'far AlawadiNanoLab/Mechatronics Engineering Department, School of Applied Technical Sciences, German Jordanian University (GJU), Amman 11180, Jordan.ORCID 0000-0001-9186-9083
Mahmoud Abu AbeelehDepartment of Surgery, Faculty of Medicine, The University of Jordan, Amman 11942, Jordan.ORCID 0000-0001-9349-385X

Funding

Deanship of Scientific Research at the German Jordanian University SATS01/2019
6 · The paper itself

Abstract

Infectious diseases possess a serious threat to the world's population, economies, and healthcare systems. In this review, we cover the infectious diseases that are most likely to cause a pandemic according to the WHO (World Health Organization). The list includes COVID-19, Crimean-Congo Hemorrhagic Fever (CCHF), Ebola Virus Disease (EBOV), Marburg Virus Disease (MARV), Lassa Hemorrhagic Fever (LHF), Middle East Respiratory Syndrome (MERS), Severe Acute Respiratory Syndrome (SARS), Nipah Virus diseases (NiV), and Rift Valley fever (RVF). This review also investigates research trends in infectious diseases by analyzing published research history on each disease from 2000-2020 in PubMed. A comprehensive review of sensor printing methods including flexographic printing, gravure printing, inkjet printing, and screen printing is conducted to provide guidelines for the best method depending on the printing scale, resolution, design modification ability, and other requirements. Printed sensors for respiratory rate, heart rate, oxygen saturation, body temperature, and blood pressure are reviewed for the possibility of being used for disease symptom monitoring. Printed wearable sensors are of great potential for continuous monitoring of vital signs in patients and the quarantined as tools for epidemiological screening.

Indexed as

blood pressureheart rateinfectious diseasesinkjet printingpulse oximeterrespiratory ratescreen printingwearable sensors

Identifiers

PMID34072174
PMCPMC8229808

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.