Review3 Biotech2021
Smart technologies driven approaches to tackle COVID-19 pandemic: a review.
Review in 3 Biotech, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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.
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.
Who cites it
16 citing papers in PubMed.
- Adoption of Telemedicine in African Health Policy in Pre and Post COVID-19 Eras: Innovations, Limitations, Challenges, and Lessons Learned.Health science reports · 2026Article
- The role of artificial intelligence in pandemic responses: from epidemiological modeling to vaccine development.Molecular biomedicine · 2025Review
- Smart Cities Mission in the Face of COVID: Scope and Scale of 'Smart' COVID Responses in India.International journal of environmental research and public health · 2023Article
- Review
- A Study on the Structural Relationships between COVID-19 Coping Strategies, Positive Expectations, and the Behavioral Intentions of Various Tourism-Related Behaviors.International journal of environmental research and public health · 2023Article
- Role of Drone Technology Helping in Alleviating the COVID-19 Pandemic.Micromachines · 2022Review
- Using drones to transport suspected COVID-19 samples; experiences from the second largest testing centre in Ghana, West Africa.PloS one · 2022Article
- Digital technologies, healthcare and Covid-19: insights from developing and emerging nations.Health and technology · 2022Review
- Integrating drones in response to public health emergencies: A combined framework to explore technology acceptance.Frontiers in public health · 2022Article
- Methodology for integrating artificial intelligence in healthcare systems: learning from COVID-19 to prepare for Disease X.AI and ethics · 2022Article
- A Scoping Review of Supply Chain Management Systems for Point of Care Diagnostic Services: Optimising COVID-19 Testing Capacity in Resource-Limited Settings.Diagnostics (Basel, Switzerland) · 2021Article
- How to Improve Information Technology to Support Healthcare to Address the COVID-19 Pandemic: an International Survey with Health Informatics Experts.Yearbook of medical informatics · 2021Article
- The role of disinfectants and sanitizers during COVID-19 pandemic: advantages and deleterious effects on humans and the environment.Environmental science and pollution research international · 2021Review
- Smart city projects against COVID-19: Quantitative evidence from China.Sustainable cities and society · 2021Article
- IoT MEMS: IoT-Based Paradigm for Medical Equipment Management Systems of ICUs in Light of COVID-19 Outbreak.IEEE access : practical innovations, open solutions · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The novel coronavirus infection (COVID-19) is not diminishing without vaccine, but it impinges on human safety and economy can be minimized by adopting smart technology to combat pandemic situation. The implementation of new innovations and novel tactics has proven to be effective in curbing the risk of COVID-19. The present study covers the role of smart technology in mitigating the spread of COVID-19 with specific focus on advancement in the field of drone, robotics, artificial intelligence (AI), mask, and sensor technology. The findings shed light on the robotics and drone technology-driven approaches that have been applied for assisting health system, surveillance, and disinfection process, etc. The AI technology strategies and framework is highlighted in terms of bulk data computing, predicting infection threats, providing medical assistance, and analyzing diagnosis results. Besides this, the technological shift in mask and sensor technology during the pandemic have been illustrated, which includes fabrication method like 3D printing and optical sensing, respectively. Furthermore, the strength, weakness, opportunities, and possible threats that have been shaped by the rigorous implementation of these technologies are also covered in detail.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.