Literature DB >> 33525250

Two Weeks of "COVID-19" Search on PubMed.gov.

Antonio Liu1.   

Abstract

BACKGROUND AND AIM: Letter to Editor, report the amount of literature generated over two weeks on PubMed.gov related to COVID-19
Methods: reporting the daily number of "hits" from "COVID-19" search on PubMed.gov
Results: There were 66988 entries on PubMed.gov on the search word "COVID-19" on October 24, 2020. The average daily increase in number of entries was 335.
CONCLUSIONS: point out the fact that the literature volume is increasing in an exponential manner (www.actabiomedica.it).

Entities:  

Mesh:

Year:  2020        PMID: 33525250      PMCID: PMC7927537          DOI: 10.23750/abm.v91i4.11016

Source DB:  PubMed          Journal:  Acta Biomed        ISSN: 0392-4203


To the Editor, I am reading Chan’s article with great interest (1). Since World Health Organization declared COVID-19 as a pandemic on March 11, 2020, the scientific world has seen a rapidly increasing amount of literature like no other pandemic before. A search for “COVID-19” in early April yielded roughly 3500 hits. The same search on August 22nd already yielded 42,693 entries (2). The daily average at that moment was roughly 181 articles per day. The same search on October 24th showed 66,988 entries. By November 7th, there were 71,682 entries. (Figure 1) The daily average increase in number of articles is 335, an amount that will probably exceed the ability of the fastest and most enthusiastic reader. For comparison purpose, the daily average of article produced for “HIV” was only 54. There are articles that analyzed the publishing pattern already, with some casting doubt on the scientific merits of some articles (1,3). Data that is difficult to track would be the actual number of submission (which must be even higher) and peer review duration (which is getting longer). Back in April, our paper on isolated meningoencephalitis (4) was accepted within 48 hours of submission and “rejection” was unheard of till late May. Lately, some submission has taken well over 4 weeks before revision is suggested. The type of literature has also changed. The first round was mostly case report and observational series. Nowadays, papers on pathophysiology, treatment and large-scale review paper begin to appear. This is the first pandemic in the so call “information age”, it will be interesting to follow the development in the literature world and learn how does its “lead” our fight against COVID-19 pandemic.
Figure 1.

Number of COVID-19 “hits” on PubMed from Oct 24 – Nov 7, 2020.

Number of COVID-19 “hits” on PubMed from Oct 24 – Nov 7, 2020. Daily publication average for COVID-19 and others from Oct 24 to Nov 7, 2020.
Table 1.

Daily publication average for COVID-19 and others from Oct 24 to Nov 7, 2020.

COVID-19COVID-19 or MERS or SARSHIV
Oct 24, 20206698885811370876
Nov 7, 20207168290961371631
Daily Average33536854
  4 in total

1.  Letter to the Editor: Exponential Increase in COVID-19 Related Publications Compared to Other Pandemic Diseases.

Authors:  Antonio Liu
Journal:  Rambam Maimonides Med J       Date:  2021-01-19

2.  Meningoencephalitis without respiratory failure in a young female patient with COVID-19 infection in Downtown Los Angeles, early April 2020.

Authors:  Lisa Duong; Prissilla Xu; Antonio Liu
Journal:  Brain Behav Immun       Date:  2020-04-17       Impact factor: 7.217

Review 3.  COVID-19 and literature evidence: should we publish anything and everything?

Authors:  Jeremy Chan; Shwe Oo; Cheryl Yan Ting Chor; Daniel Yim; Jeffrey Shi Kai Chan; Amer Harky
Journal:  Acta Biomed       Date:  2020-09-07

4.  Characteristics of academic publications, preprints, and registered clinical trials on the COVID-19 pandemic.

Authors:  Silvia Gianola; Tiago S Jesus; Silvia Bargeri; Greta Castellini
Journal:  PLoS One       Date:  2020-10-06       Impact factor: 3.240

  4 in total
  2 in total

1.  Asian-Origin Approved COVID-19 Vaccines and Current Status of COVID-19 Vaccination Program in Asia: A Critical Analysis.

Authors:  Chiranjib Chakraborty; Ashish Ranjan Sharma; Manojit Bhattacharya; Govindasamy Agoramoorthy; Sang-Soo Lee
Journal:  Vaccines (Basel)       Date:  2021-06-04

2.  Comparative genomics, evolutionary epidemiology, and RBD-hACE2 receptor binding pattern in B.1.1.7 (Alpha) and B.1.617.2 (Delta) related to their pandemic response in UK and India.

Authors:  Chiranjib Chakraborty; Ashish Ranjan Sharma; Manojit Bhattacharya; Bidyut Mallik; Shyam Sundar Nandi; Sang-Soo Lee
Journal:  Infect Genet Evol       Date:  2022-04-13       Impact factor: 4.393

  2 in total

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