Evidence map›Paper›PMID 34150443›Full record

ReviewApplied nanoscience2023

A review on role of nitrous oxide nanoparticles, potential vaccine targets, drug, health care and artificial intelligence to combat COVID-19.

S Manigandan, T R Praveenkumar, Kathirvel Brindhadevi

Open access · bronzeAbstract readReview
In one paragraph

Review in Applied nanoscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Review
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

3 authors at 3 institutions in 3 countries.

S ManigandanDepartment of Aeronautical Engineering, Sathyabama Institute of Science and Technology, Chennai, India.
T R PraveenkumarDepartment of Construction Technology and Management, Wollega University, Nekemte, Ethiopia.ORCID 0000-0001-6072-9010
Kathirvel BrindhadeviInstitute of Research and Development, Duy Tan University, Da Nang, 550000 Viet Nam.
Duy Tan University · VNSathyabama Institute of Science and Technology · INWollega University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The lives of human individuals and groups around the globe have changed drastically due to the emergence of novel corona virus in late 2019. The significant part of CoV-19 from the global point is transmission rate, and therefore, it is mandatory to identify and isolate the affected persons even with the mild infection. To stop the rapid transmission of virus to drastic manner, it is essential to follow the hygienic practices, identification of potential vaccines and proper health care management systems to combat the novel virus. Despite the serious mortality rates and high confirmed cases, at present, there is no proven treatment and vaccine to treat the pandemic coronavirus. The current review prioritizes the recent trends in the health care sector, vaccine development pipeline and artificial intelligence role to combat CoV-2. Due to the unprecedented situation, the health care professionals was under high working stress and they were pushed to make serious decisions on time. Several health care workers pose directly threat to the occupational health risk. Besides, the industry is also experiencing a decrease in the outpatient footfalls along with the reduction of international patients. Furthermore, the services such as hypertension, diabetes, cancer and cardiovascular affected by 53%, 49%, 42% and 31%, respectively, due to the pandemic. Vaccines and treatments are the urgent need and have been extensively on progress worldwide. Despite the new technologies, the effectiveness of the old antiviral, such as Chloroquine and hydroxychloroquine, Lopinavir-Ritonavir, Nafamostat and Camostat, and Remdesiviron COVID-19, was reviewed. The reviews on different vaccinations were effective in the understanding the efficiency of drugs in reducing the symptoms of COVID-19. Although vaccination and social distancing can reduce the infection, the role of the Artificial intelligence technology will enable the highest reduction of the COVID-19 infection by reducing the time and increasing the reliability.

Indexed as

CoronavirusCOVID-19Health careNitrous oxide nanoparticles, clinical trialSARS-CoV-2

Identifiers

PMID34150443
PMCPMC8205648
OpenAlexW3172587139

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.