ReviewEnvironmental science and pollution research international2021
The impact of artificial intelligence and digital style on industry and energy post-COVID-19 pandemic.
Review in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Artificial Intelligence in Public Health Education: A Scoping Review of Workforce Competency Development.Health science reports · 2026Article
- The link between electricity consumption and stock market during the pandemic in Türkiye: a novel high-frequency approach.Environmental science and pollution research international · 2024Article
- Population dynamics and digitalization: implications for COVID-19 data sources in South Africa-a scoping review.Frontiers in public health · 2024Article
- Structure-Based In Silico Screening of Marine Phlorotannins for Potential Walrus Calicivirus Inhibitor.International journal of molecular sciences · 2023Article
- Agricultural biotechnology for sustainable food security.Trends in biotechnology · 2023Review
- A thematic analysis-based model for identifying the impacts of natural crises on a supply chain for service integrity: a text analysis approach.Environmental science and pollution research international · 2022Article
- Blockchain solution benefits for controlling pandemics: Bottom-up decentralization, automation with real-time update, and immutability with privacy preservation.Computers & industrial engineering · 2022Article
- Forecasting the transmission trends of respiratory infectious diseases with an exposure-risk-based model at the microscopic level.Environmental research · 2022Article
- Supervised learning of COVID-19 patients' characteristics to discover symptom patterns and improve patient outcome prediction.Informatics in medicine unlocked · 2022Article
- Study of Complexity Systems in Public Health for Evaluating the Correlation between Mental Health and Age-Related Demographic Characteristics: A General Health Study.Journal of healthcare engineering · 2022Article
- The Progress of Medical Image Semantic Segmentation Methods for Application in COVID-19 Detection.Computational intelligence and neuroscience · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The SARS-CoV-2 virus caused crises in social, economic, and energy areas and medical life worldwide throughout 2020. This crisis had many direct and indirect effects on all areas of society. In the meantime, the digital and artificial intelligence industry can be used as a professional assistant to manage and control the outbreak of the virus. The present article's objective is to investigate the effects of COVID-19 on each of the various fields of medicine, industry, and energy. What sets this article apart is studying the impact of artificial intelligence and digital style on reducing the damage of this fatal virus. Energy and related industries are of the areas affected by the SARS-CoV-2 virus. The most exciting approach in this article is to encourage countries with economies based on non-renewable energy to develop solar and wind energies. Renewable energies can operate well in the event of another phenomenon such as COVID-19 and reduce the virus's destructive effects and lead to economic prosperity.
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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.