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


10.1080/10410236.2020.1871169

http://scihub22266oqcxt.onion/10.1080/10410236.2020.1871169
suck pdf from google scholar
33445967!ä!33445967

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

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

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

Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
pmid33445967      Health+Commun 2022 ; 37 (7): 824-832
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • A Mixed Methods Inquiry into the Role of Tom Hanks COVID-19 Social Media Disclosure in Shaping Willingness to Engage in Prevention Behaviors #MMPMID33445967
  • Myrick JG; Willoughby JF
  • Health Commun 2022[Jun]; 37 (7): 824-832 PMID33445967show ga
  • Given the vast amounts of COVID-19-related messages flooding mediated and interpersonal communication channels during the global pandemic, celebrity COVID-19 disclosures offer rare opportunities to cut through message fatigue and apathy and garner the attention of wide swaths of the public. We conducted a convergent mixed method analysis of audience responses to actor Tom Hanks' March 11, 2020 disclosure of his COVID-19 diagnosis via social media. We collected our data within 24 hours of his announcement, allowing us to quickly capture emotional and cognitive responses to the announcement and to assess both demographic and psychosocial differences in types of people who heard the news in this time frame and those who had not. In our study, 587 participants had heard the news of Hanks' disclosure while 95 had not. Participants who had heard responded to an open-ended prompt asking if the disclosure affected them at all. Those who had not heard were funneled into a field intervention to test how random assignment to seeing Hanks' disclosure post or not would affect audiences' COVID-19-related emotions, cognitions, and willingness to enact prevention behaviors. The results of this mixed methods study revealed differences in responses to Hanks' disclosure based on health information source trust and involvement with Hanks as well as effects of the intervention on efficacy for dealing with COVID-19. We discuss implications for health communication theory and crafting messages that can effectively build off the attentional inertia generated by celebrity illness disclosures to encourage prevention efforts.
  • |*COVID-19/epidemiology/prevention & control[MESH]
  • |*Health Communication[MESH]
  • |*Social Media[MESH]
  • |COVID-19 Testing[MESH]
  • |Disclosure[MESH]


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    Linkout box