Evidence map›Paper›PMID 35062463›Full record

ArticleSensors (Basel, Switzerland)2022

Internet of Things Concept in the Context of the COVID-19 Pandemic: A Multi-Sensor Application Design.

Alexandru Lavric, Adrian I Petrariu, Partemie-Marian Mutescu, Eugen Coca, Valentin Popa

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 26 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

5 authors at 1 institution in 1 country.

Alexandru LavricComputers, Electronics and Automation Department, Stefan Cel Mare University of Suceava, 720229 Suceava, Romania.ORCID 0000-0001-7734-4854
Adrian I PetrariuComputers, Electronics and Automation Department, Stefan Cel Mare University of Suceava, 720229 Suceava, Romania.ORCID 0000-0002-6188-5610
Partemie-Marian MutescuComputers, Electronics and Automation Department, Stefan Cel Mare University of Suceava, 720229 Suceava, Romania.
Eugen CocaComputers, Electronics and Automation Department, Stefan Cel Mare University of Suceava, 720229 Suceava, Romania.ORCID 0000-0002-9667-6245
Valentin PopaComputers, Electronics and Automation Department, Stefan Cel Mare University of Suceava, 720229 Suceava, Romania.
Ştefan cel Mare University of Suceava · RO

Funding

CCCDI-UEFISCDI PN-III-P2-2.1-PTE-2019-0642
6 · The paper itself

Abstract

In this paper, we present the design, development and implementation of an integrated system for the management of COVID-19 patient, using the LoRaWAN communication infrastructure. Our system offers certain advantages when compared to other similar solutions, allowing remote symptom and health monitoring that can be applied to isolated or quarantined people, without any external interaction with the patient. The IoT wearable device can monitor parameters of health condition like pulse, blood oxygen saturation, and body temperature, as well as the current location. To test the performance of the proposed system, two persons under quarantine were monitored, for a complete 14-day standard quarantine time interval. Based on the data transmitted to the monitoring center, the medical staff decided, after several days of monitoring, when the measured values were outside of the normal parameters, to do an RT-PCR test for one of the two persons, confirming the SARS-CoV2 virus infection. We have to emphasize the high degree of scalability of the proposed solution that can oversee a large number of patients at the same time, thanks to the LoRaWAN communication protocol used. This solution can be successfully implemented by local authorities to increase monitoring capabilities, also saving lives.

Indexed as

COVID-19Internet of ThingsHumansOxygen SaturationPandemicsRNA, ViralSARS-CoV-2RNA, ViralCOVID-19 sensorsInternet of ThingsIoT wearable devicequarantine monitoringremote healthcaretelemedicine

Identifiers

PMID35062463
PMCPMC8778479
OpenAlexW4206808607

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.