ReviewVirusdisease2020
Emerging coronavirus diseases and future perspectives.
Review in Virusdisease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled 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.
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
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- The accuracy of machine learning approaches using non-image data for the prediction of COVID-19: A meta-analysis.International journal of medical informatics · 2022Pooled it
- Trial
- PROTACs in Antivirals: Current Advancements and Future Perspectives.Molecules (Basel, Switzerland) · 2025Review
- Detection and Characterisation of SARS-CoV-2 in Eastern Province of Zambia: A Retrospective Genomic Surveillance Study.International journal of molecular sciences · 2024Article
- Barriers to gene therapy, understanding the concerns people with haemophilia have: an exigency sub-study.Orphanet journal of rare diseases · 2024Article
- The lessons of COVID-19 pandemic for communicable diseases surveillance system in Kurdistan Region of Iraq.Health policy and technology · 2023Article
- Next-generation computational tools and resources for coronavirus research: From detection to vaccine discovery.Computers in biology and medicine · 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
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Coronavirus related infectious diseases seems to be biggest challenge of 21 century that have been constantly emerging and threating public health around the globe. Coronavirus disease-19 (COVID-19) that was detected as cause of respiratory tract infection in China by end the December 2019 impelled World Health Organization to declare in January 2020 public health emergency of international concern and consequently pandemic in March 2020. Over a past six months COVID-19 pandemic has wrapped up all continents except Antarctica. Scientists around the globe are finding way to tackle and reduce the ultimate risk and size of pandemic with lower morbidity and mortality rates. In this context, technologies such as sequencing, Crispr and artificial intelligence are playing vital role in diagnosis and management of infectious disease in contrast to conventional methods. Despite of this, there is a need to have rapid and early diagnostic tools and systems that recognize infectious disease in asymptotic condition. Here we provide an overview on the recent CoV outbreak and contribution of technologies with the emphasis on the future management for detection of such infectious diseases.
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.