Evidence map›Paper›PMID 35941909›Full record

ReviewView (Beijing, China)2022

Progress in COVID research and developments during pandemic.

Sudheesh K Shukla, Santanu Patra, Trupti R Das, Dharmesh Kumar, Anshuman Mishra, Ashutosh Tiwari

Open access · goldAbstract readReview
In one paragraph

Review in View (Beijing, China), 2022. 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
2.2field-weighted citation impact, top 13% 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, 16 citations in OpenAlex.

  1. Article
  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

6 authors at 2 institutions in 1 country.

Sudheesh K ShuklaInstitute of Advanced Materials IAAM Gammalkilsvägen 18 Ulrika 59053 Sweden.
Santanu PatraInstitute of Advanced Materials IAAM Gammalkilsvägen 18 Ulrika 59053 Sweden.
Trupti R DasCIPET, Institute of Petrochemicals Technology (IPT)-Bhubaneswar Patia Bhubaneswar India.
Dharmesh KumarVBRI Innovation Centre 7/16 Kalkaji Extn New Delhi 110019 India.
Anshuman MishraInstitute of Advanced Materials IAAM Gammalkilsvägen 18 Ulrika 59053 Sweden.
Ashutosh TiwariInstitute of Advanced Materials IAAM Gammalkilsvägen 18 Ulrika 59053 Sweden.ORCID https://orcid.org/0000-0001-5634-7749
International Development Research Centre · INCentral Institute of Plastics Engineering and Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pandemic respiratory disease COVID-19 has spread over the globe within a small span of time. Generally, there are two important points are being highlighted and considered towards the successful diagnosis and treatment process. The first point includes the reduction of the rate of infections and the next one is the decrease of the death rate. The major threat to public health globally progresses due to the absence of effective medication and widely accepted immunization for the COVID-19. Whereas, understanding of host susceptibility, clinical features, adaptation of COVID-19 to new environments, asymptomatic infection is difficult and challenging. Therefore, a rapid and an exact determination of pathogenic viruses play an important role in deciding treatments and preventing pandemic to save the people's lives. It is urgent to fix a standardized diagnostic approach for detecting the COVID-19. Here, this systematic review describes all the current approaches using for screening and diagnosing the COVID-19 infectious patient. The renaissance in pathogen due to host adaptability and new region, facing creates several obstacles in diagnosis, drug, and vaccine development process. The study shows that adaptation of accurate and affordable diagnostic tools based on candidate biomarkers using sensor and digital medicine technology can deliver effective diagnosis services at the mass level. Better prospects of public health management rely on diagnosis with high specificity and cost-effective manner along with multidisciplinary research, specific policy, and technology adaptation. The proposed healthcare model with defined road map represents effective prognosis system.

Indexed as

artificial intelligencecorona virusCOVID‐19 diagnosisCOVID science and technologypandemic yearsrespiratory tract infectionserological test

Identifiers

PMID35941909
PMCPMC9350081
OpenAlexW4286001003

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.