Evidence map›Paper›PMID 33175192›Full record

ReviewArchives of microbiology2021

Potential role of viral metagenomics as a surveillance tool for the early detection of emerging novel pathogens.

Hareem Mohsin, Azka Asif, Minhaj Fatima, Yasir Rehman

Open access · bronzeAbstract readReview
In one paragraph

Review in Archives of microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
0.5field-weighted citation impact, top 22% 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

18 citing papers in PubMed, 32 citations in OpenAlex.

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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

4 authors at 4 institutions in 1 country.

Hareem MohsinDepartment of Allied Health Sciences, Superior University, Lahore, Pakistan.
Azka AsifSchoool of Biological Sciences, University of the Punjab, Lahore, Pakistan.
Minhaj FatimaLearning Resource Center, University of Management and Technology, Lahore, Pakistan.
Yasir RehmanDepartment of Life Sciences, School of Science, University of Management and Technology, Lahore, Pakistan. Yasir.rehman@umt.edu.pk.ORCID http://orcid.org/0000-0002-4787-275X
Superior University · PKUniversity of Management and Technology · PKUniversity of Management and Technology · PKUniversity of the Punjab · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the early times, human beings have always been faced with deadly microbial infections, both bacterial and viral. Pathogens such as viruses are always evolving owing to the processes of antigenic shift and drift. Such viral evolution results in the emergence of new types and serovars that prove deadly for humans-like influenza pandemics, severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS). The pandemic of novel coronavirus SARS-CoV-2 is the recent example. It has resulted in a great loss of human lives and a serious burden on economy across the globe. To counter such situations, a system should exist for the early detection of emerging viral pathogens. This will help prevent possible outbreaks and save human lives. Most of such deadly novel viruses and viral outbreaks are known to be originated from animal hosts. Regular monitoring of potential hot spots of such emerging microbes, such as zoos and animal markets, through metagenomics could help assess the presence of new viruses and pathogens. In this review, we focus on the potential of viral metagenomics and propose a surveillance system based on it for the early detection and hence prevention of such emerging viral infections.

Indexed as

Epidemiological MonitoringMetagenomicsAnimalsCommunicable Diseases, EmergingCoronavirus InfectionsCOVID-19Disease OutbreaksHumansInfluenza, HumanMiddle East Respiratory Syndrome CoronavirusSARS-CoV-2Virus DiseasesVirusesInfectionsMetagenomicsPandemicsPublic healthSurveillanceViral outbreaks

Identifiers

PMID33175192
PMCPMC7656497
OpenAlexW3105281758

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.