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


10.1016/S2589-7500(20)30315-0

http://scihub22266oqcxt.onion/10.1016/S2589-7500(20)30315-0
suck pdf from google scholar
33518503!7906737!33518503
unlimited free pdf from europmc33518503    free
PDF from PMC    free
html from PMC    free

suck abstract from ncbi


Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
pmid33518503      Lancet+Digit+Health 2021 ; 3 (3): e175-e194
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • What social media told us in the time of COVID-19: a scoping review #MMPMID33518503
  • Tsao SF; Chen H; Tisseverasinghe T; Yang Y; Li L; Butt ZA
  • Lancet Digit Health 2021[Mar]; 3 (3): e175-e194 PMID33518503show ga
  • With the onset of the COVID-19 pandemic, social media has rapidly become a crucial communication tool for information generation, dissemination, and consumption. In this scoping review, we selected and examined peer-reviewed empirical studies relating to COVID-19 and social media during the first outbreak from November, 2019, to November, 2020. From an analysis of 81 studies, we identified five overarching public health themes concerning the role of online social media platforms and COVID-19. These themes focused on: surveying public attitudes, identifying infodemics, assessing mental health, detecting or predicting COVID-19 cases, analysing government responses to the pandemic, and evaluating quality of health information in prevention education videos. Furthermore, our Review emphasises the paucity of studies on the application of machine learning on data from COVID-19-related social media and a scarcity of studies documenting real-time surveillance that was developed with data from social media on COVID-19. For COVID-19, social media can have a crucial role in disseminating health information and tackling infodemics and misinformation.
  • |*COVID-19[MESH]
  • |*Health Education[MESH]
  • |*Social Media[MESH]
  • |Disease Outbreaks[MESH]
  • |Humans[MESH]
  • |Pandemics[MESH]
  • |Public Health[MESH]


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    Linkout box