Evidence map›Paper›PMID 38620326›Full record

ArticleInternet of things (Amsterdam, Netherlands)2021

Future Smart Connected Communities to Fight COVID-19 Outbreak.

Deepti Gupta, Smriti Bhatt, Maanak Gupta, Ali Saman Tosun

Open access · greenAbstract read
In one paragraph

Article in Internet of things (Amsterdam, Netherlands), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

18 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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  8. Article
  9. Community Services and Social Involvement in COVID-19 Governance: Evidence from China.International journal of environmental research and public health · 2022
    Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. IoT-Based COVID-19 Diagnosing and Monitoring Systems: A Survey.IEEE access : practical innovations, open solutions · 2022
    Article
  15. Article
  16. Article
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  18. 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 at 3 institutions in 1 country.

Deepti GuptaDepartment of Computer Science, University of Texas at San Antonio, One UTSA Circle, San Antonio, TX 78249, USA.
Smriti BhattDepartment of Computing and Cyber Security, Texas A&M University-San Antonio, One University Way, San Antonio, TX 78224, USA.
Maanak GuptaDepartment of Computer Science, Tennessee Tech University, 1 William L Jones Drive, Cookeville, TN 38505, USA.
Ali Saman TosunDepartment of Computer Science, University of Texas at San Antonio, One UTSA Circle, San Antonio, TX 78249, USA.
The University of Texas at San Antonio · USTennessee Technological University · USTexas A&M University – San Antonio · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Internet of Things (IoT) has grown rapidly in the last decade and continues to develop in terms of dimension and complexity, offering a wide range of devices to support a diverse set of applications. With ubiquitous Internet, connected sensors and actuators, networking and communication technology along with artificial intelligence (AI), smart cyber-physical systems (CPS) provide services rendering assistance and convenience to humans in their daily lives. However, the recent outbreak of COVID-19 (also known as coronavirus) pandemic has exposed and highlighted the limitations of contemporary technological deployments especially to contain the widespread of this disease. IoT and smart connected technologies together with data-driven applications can play a crucial role not only in the prevention, mitigation, or continuous remote monitoring of patients, but also enable prompt enforcement of guidelines, rules, and administrative orders to contain such future outbreaks. In this paper, we envision an IoT and data-supported connected ecosystem designed for intelligent monitoring, pro-active prevention and control, and mitigation of COVID-19 and similar epidemics. We propose a gamut of synergistic applications and technology systems for various smart infrastructures including E-Health, smart home, supply chain management, transportation, and city, which will work in convergence to develop 'pandemic-proof' future smart communities. We also present a generalized cloud-enabled IoT implementation framework along with scientific solutions, which can be adapted and extended to deploy smart connected ecosystem scenarios using widely used Amazon Web Services (AWS) cloud infrastructures. In addition, we also implement an E-Health RPM use case scenario to demonstrate the need and practicality for smart connected communities. Finally, we highlight challenges and research directions that need thoughtful consideration and across the board cooperation among stakeholders to build resilient communities against future pandemics.

Indexed as

Artificial intelligence (AI)Cloud computingCoronavirusCOVID-19Edge computingInternet of thingsMachine learningMulti-layered architecturePrivacySecuritySmart communities

Identifiers

PMID38620326
PMCPMC7720698
OpenAlexW3044060649

What OpenQuestion holds

Textmetadata
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.