Evidence map›Paper›PMID 29403448›Full record

ReviewFrontiers in microbiology2017

Advances in Diagnosis, Surveillance, and Monitoring of Zika Virus: An Update.

Raj K Singh, Kuldeep Dhama, Kumaragurubaran Karthik, Ruchi Tiwari, Rekha Khandia, Ashok Munjal, Hafiz M N Iqbal, Yashpal S Malik, Rubén Bueno-Marí

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
12.2field-weighted citation impact, top 1% 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

41 citing papers in PubMed, 79 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

9 authors at 6 institutions in 3 countries.

Raj K SinghICAR-Indian Veterinary Research Institute, Bareilly, India.
Kuldeep DhamaDivision of Pathology, ICAR-Indian Veterinary Research Institute, Bareilly, India.
Kumaragurubaran KarthikCentral University Laboratory, Tamil Nadu Veterinary and Animal Sciences University, Chennai, India.
Ruchi TiwariDepartment of Veterinary Microbiology and Immunology, College of Veterinary Sciences, UP Pandit Deen Dayal Upadhayay Pashu Chikitsa Vigyan Vishwavidyalay Evum Go-Anusandhan Sansthan, Mathura, India.
Rekha KhandiaDepartment of Biochemistry and Genetics, Barkatullah University, Bhopal, India.
Ashok MunjalDepartment of Biochemistry and Genetics, Barkatullah University, Bhopal, India.
Hafiz M N IqbalSchool of Engineering and Science, Tecnologico de Monterrey, Monterrey, Mexico.
Yashpal S MalikDivision of Biological Standardization, ICAR-Indian Veterinary Research Institute, Bareilly, India.
Rubén Bueno-MaríLaboratorios Lokímica, Departamento de Investigación y Desarrollo (I+D), Valencia, Spain.
Indian Veterinary Research Institute · INBarkatullah University · INCentro de Investigación y Desarrollo · ESTamil Nadu Veterinary and Animal Sciences University · INTecnológico de Monterrey · MXUttar Pradesh Pandit Deen Dayal Upadhyaya Pashu Chikitsa Vigyan Vishwavidyalaya Evam Go-Anusandhan Sansthan · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zika virus (ZIKV) is associated with numerous human health-related disorders, including fetal microcephaly, neurological signs, and autoimmune disorders such as Guillain-Barré syndrome (GBS). Perceiving the ZIKA associated losses, in 2016, the World Health Organization (WHO) declared it as a global public health emergency. In consequence, an upsurge in the research on ZIKV was seen around the globe, with significant attainments over developing several effective diagnostics, drugs, therapies, and vaccines countering this life-threatening virus at an early step. State-of-art tools developed led the researchers to explore virus at the molecular level, and in-depth epidemiological investigations to understand the reason for increased pathogenicity and different clinical manifestations. These days, ZIKV infection is diagnosed based on clinical manifestations, along with serological and molecular detection tools. As, isolation of ZIKV is a tedious task; molecular assays such as reverse transcription-polymerase chain reaction (RT-PCR), real-time qRT-PCR, loop-mediated isothermal amplification (LAMP), lateral flow assays (LFAs), biosensors, nucleic acid sequence-based amplification (NASBA) tests, strand invasion-based amplification tests and immune assays like enzyme-linked immunosorbent assay (ELISA) are in-use to ascertain the ZIKV infection or Zika fever. Herein, this review highlights the recent advances in the diagnosis, surveillance, and monitoring of ZIKV. These new insights gained from the recent advances can aid in the rapid and definitive detection of this virus and/or Zika fever. The summarized information will aid the strategies to design and adopt effective prevention and control strategies to counter this viral pathogen of great public health concern.

Indexed as

diagnosismonitoringsurveillanceZika feverZika virus

Identifiers

PMID29403448
PMCPMC5780406
OpenAlexW2791488016

What Socratic 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 Socratic graph.