Evidence map›Paper›PMID 34604832›Full record

ReviewComputer methods and programs in biomedicine update2021

An innovative user-friendly platform for Covid-19 pandemic databases and resources.

Shahid Ullah, Anees Ullah, Wajeeha Rahman, Farhan Ullah, Sher Bahadar Khan, Gulzar Ahmad, Muhammad Ijaz, Tianshun Gao

Abstract readReview
In one paragraph

Review in Computer methods and programs in biomedicine update, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
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  4. Article
  5. Article
  6. Review
  7. iCAV: an integrative database of cancer-associated viruses.Database : the journal of biological databases and curation · 2021
    Article
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

8 authors.

Shahid UllahS Khan Lab Mardan, Khyber Pakhtunkhwa, Pakistan.
Anees UllahKyrgyz State Medical Academy (KSMA), Kyrgyzstan.
Wajeeha RahmanS Khan Lab Mardan, Khyber Pakhtunkhwa, Pakistan.
Farhan UllahS Khan Lab Mardan, Khyber Pakhtunkhwa, Pakistan.
Sher Bahadar KhanDepartment of Animal Health, The University of Agriculture, Peshawar, Pakistan.
Gulzar AhmadS Khan Lab Mardan, Khyber Pakhtunkhwa, Pakistan.
Muhammad IjazS Khan Lab Mardan, Khyber Pakhtunkhwa, Pakistan.
Tianshun GaoResearch Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe current coronavirus disease-19 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a global outbreak of a disease from a new coronavirus. Several databases have been published on this pandemic, but the research community still needs an easy way to get comprehensive information on COVID-19.

objectivesCOVID-19 pandemic database (CO-19 PDB) aims to provide wonderful insights for COVID-19 researchers with the well-gathered of all the COVID-19 data to one platform, which is a global challenge for the research community these days.

methodsWe gathered 59 updated databases since December-2019 until May 2021 and divided them into six categories: digital image database, genomic database, literature database, visualization tools database, chemical structure database, and social science database. These categories focus on taking number of functions from the images, information from gene sequences, updates from relevant papers, essays, reports, articles, and books, the data or information in the form of maps, graphs, and charts, information of bonds between atoms, and updates about events of the physical and social environment, respectively.

resultsUsers can search the information of interest in two ways including typing the name of the database in the search bar or by clicking the right category directly. Computer languages such as CSS, PHP, HTML, Java, etc. are utilized to construct CO-19 PDB.

conclusionThis article attempts to compile up-to-date appropriate COVID-19 datasets and resources that have not been compiled and given in such an accessible and user-friendly manner. As a result, the CO-19 PDB offers extensive open data sharing for both worldwide research communities and local people. Further, we have planned future development of new features, that will be awesome for future study.

Indexed as

Chemical structureCO-19 PDBCOVID-19Digital imageGenomic

Identifiers

PMID34604832
PMCPMC8465267

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.