Evidence map›Paper›PMID 34206120›Full record

ReviewSensors (Basel, Switzerland)2021

Impact of COVID-19 on IoT Adoption in Healthcare, Smart Homes, Smart Buildings, Smart Cities, Transportation and Industrial IoT.

Muhammad Umair, Muhammad Aamir Cheema, Omer Cheema, Huan Li, Hua Lu

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  15. Impact of IoT on Achieving Smart Primary Healthcare Building Facilities in Gauteng, South Africa.International journal of environmental research and public health · 2022
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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.

Muhammad UmairDepartment of Electrical, Electronics and Telecommunication Engineering, New Campus, University of Engineering and Technology, Lahore, Punjab 54890, Pakistan.ORCID 0000-0002-2719-4955
Muhammad Aamir CheemaFaculty of Information Technology, Monash University, Wellington Rd, Clayton, VIC 3800, Australia.ORCID 0000-0003-2139-9121
Omer CheemaIoT Wi-Fi Business Unit, Dialog Semiconductor, Green Park Reading RG2 6GP, UK.ORCID 0000-0002-0854-8471
Huan LiDepartment of Computer Science, Aalborg University, Fredrik Bajers Vej 7K, 9220 Aalborg Øst, Denmark.ORCID 0000-0003-0084-1662
Hua LuDepartment of People and Technology, Roskilde University, Universitetsvej 1, 4000 Roskilde, Denmark.ORCID 0000-0003-1199-6678

Funding

Australian Research Council FT180100140
6 · The paper itself

Abstract

COVID-19 has disrupted normal life and has enforced a substantial change in the policies, priorities and activities of individuals, organisations and governments. These changes are proving to be a catalyst for technology and innovation. In this paper, we discuss the pandemic's potential impact on the adoption of the Internet of Things (IoT) in various broad sectors, namely healthcare, smart homes, smart buildings, smart cities, transportation and industrial IoT. Our perspective and forecast of this impact on IoT adoption is based on a thorough research literature review, a careful examination of reports from leading consulting firms and interactions with several industry experts. For each of these sectors, we also provide the details of notable IoT initiatives taken in the wake of COVID-19. We also highlight the challenges that need to be addressed and important research directions that will facilitate accelerated IoT adoption.

Indexed as

COVID-19Internet of ThingsCitiesDelivery of Health CareHumansSARS-CoV-2COVID-19healthcareindustrial IoTinternet of thingssmart buildingssmart citiessmart homestransportation

Identifiers

PMID34206120
PMCPMC8199516

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.