Evidence map›Paper›PMID 32497806›Full record

ReviewInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2020

Continuous physiological monitoring using wearable technology to inform individual management of infectious diseases, public health and outbreak responses.

Damien K Ming, Sorawat Sangkaew, Ho Q Chanh, Phung T H Nhat, Sophie Yacoub, Pantelis Georgiou, Alison H Holmes

Open access · goldAbstract readReview
In one paragraph

Review in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
10.0field-weighted citation impact, top 2% of its field
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

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 83 citations in OpenAlex.

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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

7 authors at 3 institutions in 3 countries.

Damien K MingNIHR-Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, UK; Centre for Antimicrobial Optimisation (CAMO), Imperial College London, UK. Electronic address: d.ming@imperial.ac.uk.
Sorawat SangkaewNIHR-Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, UK; Department of Family Medicine, Hat Yai Regional Hospital, Thailand.
Ho Q ChanhOxford University Clinical Research Unit (OUCRU), Ho Chi Minh City, Viet Nam.
Phung T H NhatOxford University Clinical Research Unit (OUCRU), Ho Chi Minh City, Viet Nam.
Sophie YacoubOxford University Clinical Research Unit (OUCRU), Ho Chi Minh City, Viet Nam; Centre for Tropical Medicine and Global Health, University of Oxford, UK.
Pantelis GeorgiouDepartment of Electrical Engineering, Imperial College London, UK.
Alison H HolmesNIHR-Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, UK; Centre for Antimicrobial Optimisation (CAMO), Imperial College London, UK.
Imperial College London · GBOxford University Clinical Research Unit · VNNIHR Imperial Biomedical Research Centre · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

Optimal management of infectious diseases is guided by up-to-date information at the individual and public health levels. For infections of global importance, including emerging pandemics such as COVID-19 or prevalent endemic diseases such as dengue, identifying patients at risk of severe disease and clinical deterioration can be challenging, considering that the majority present with a mild illness. In our article, we describe the use of wearable technology for continuous physiological monitoring in healthcare settings. Deployment of wearables in hospital settings for the management of infectious diseases, or in the community to support syndromic surveillance during outbreaks, could provide significant, cost-effective advantages and improve healthcare delivery. We highlight a range of promising technologies employed by wearable devices and discuss the technical and ethical issues relating to implementation in the clinic, focusing on low- and middle- income countries. Finally, we propose a set of essential criteria for the rollout of wearable technology for clinical use.

Indexed as

Delivery of Health CareWearable Electronic DevicesBetacoronavirusCommunicable Disease ControlCoronavirus InfectionsCOVID-19HospitalsHumansLongitudinal StudiesMonitoring, PhysiologicPandemicsPneumonia, ViralSARS-CoV-2

Identifiers

PMID32497806
PMCPMC7263257
OpenAlexW3032595402

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.