Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText.
Kick-your-searchterm to multiple Engines kick-your-query now !>
A dictionary by aggregated review articles of nephrology, medicine and the life sciences
Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

suck abstract from ncbi


10.5195/jmla.2021.1044

http://scihub22266oqcxt.onion/10.5195/jmla.2021.1044
suck pdf from google scholar
33424475!7772990!33424475
unlimited free pdf from europmc33424475    free
PDF from PMC    free
html from PMC    free

suck abstract from ncbi

pmid33424475      J+Med+Libr+Assoc 2021 ; 109 (1): 133-136
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • The library s role in countering infodemics #MMPMID33424475
  • Walker P
  • J Med Libr Assoc 2021[Jan]; 109 (1): 133-136 PMID33424475show ga
  • Internet and communication technologies enable the creation of tremendous amounts of textual, graphic, and pictorial information. User-generated content published through personal web pages, blogs, and social media platforms has not only increased the amount of information available, but also expanded its reach. However, this ubiquity of information and empowerment of its creators leads to potentially controversial, futile, and inaccurate content circulating throughout the world. In the case of the COVID-19 pandemic, this can create false hope, fear, anxiety, harm, and confusion amongst information stakeholders. The World Health Organization recently applied the term "infodemic" to the COVID-19 pandemic. This commentary briefly discusses the current infodemic, its potential consequences, and the role of libraries-specifically health sciences, biomedical, and medical libraries-to help counter the COVID-19 infodemic. The discussion also has relevance for infodemics relating to other health and non-health affairs.
  • |*Access to Information[MESH]
  • |*COVID-19[MESH]
  • |*Data Accuracy[MESH]
  • |*Guidelines as Topic[MESH]
  • |*Professional Role[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |Aged, 80 and over[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Libraries, Medical/*standards[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Organizational Case Studies[MESH]
  • |Pandemics/*statistics & numerical data[MESH]
  • |SARS-CoV-2[MESH]


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    Linkout box