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.

10.1007/s11538-021-00895-3 http://scihub22266oqcxt.onion/10.1007/s11538-021-00895-3 33835296!8033284!33835296     free     free     free 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       Bull+Math+Biol 2021 ; 83 (5): 57 Nephropedia Template TP {{tp|p=33835296|t=2021. Harnessing Social Media in the Modelling of Pandemics-Challenges and Opportunities |pdf=|usr=}}{{33835296}} gab.com Text Harnessing Social Media in the Modelling of Pandemics-Challenges and Opportunities JO: Bull Math Biol http://www.kidney.de/pget.php?&tw=1&pmid=33835296 #FOAvip As COVID-19 spreads throughout the world without a straightforward treatment or widespread vaccine coverage in the near future, mathematical models of disease spread and of the potential impact of mitigation measures have been thrust into the limelight. With their popularity and ability to disseminate information relatively freely and rapidly, information from social media platforms offers a user-generated, spontaneous insight into users' minds that may capture beliefs, opinions, attitudes, intentions and behaviour towards outbreaks of infectious disease not obtainable elsewhere. The interactive, immersive nature of social media may reveal emergent behaviour that does not occur in engagement with traditional mass media or conventional surveys. In recognition of the dramatic shift to life online during the COVID-19 pandemic to mitigate disease spread and the increasing threat of further pandemics, we examine the challenges and opportunities inherent in the use of social media data in infectious disease modelling with particular focus on their inclusion in compartmental models. Twit Text FOAVip Harnessing Social Media in the Modelling of Pandemics-Challenges and Opportunities ????Bull Math Biol http://www.kidney.de/pget.php?&tw=1&pmid=33835296 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33835296 #FOAvip English Wikipedia <ref>{{Cite pmid|33835296}}</ref> Harnessing Social Media in the Modelling of Pandemics-Challenges and Opportunities #MMPMID33835296 Sooknanan J; Mays N Bull Math Biol 2021[Apr]; 83 (5): 57 PMID33835296show ga As COVID-19 spreads throughout the world without a straightforward treatment or widespread vaccine coverage in the near future, mathematical models of disease spread and of the potential impact of mitigation measures have been thrust into the limelight. With their popularity and ability to disseminate information relatively freely and rapidly, information from social media platforms offers a user-generated, spontaneous insight into users' minds that may capture beliefs, opinions, attitudes, intentions and behaviour towards outbreaks of infectious disease not obtainable elsewhere. The interactive, immersive nature of social media may reveal emergent behaviour that does not occur in engagement with traditional mass media or conventional surveys. In recognition of the dramatic shift to life online during the COVID-19 pandemic to mitigate disease spread and the increasing threat of further pandemics, we examine the challenges and opportunities inherent in the use of social media data in infectious disease modelling with particular focus on their inclusion in compartmental models. |*Health Behavior[MESH] |*Pandemics/prevention & control[MESH] |*SARS-CoV-2[MESH] |*Social Media/statistics & numerical data[MESH] |Attitude to Health[MESH] |COVID-19/*epidemiology/prevention & control/*psychology[MESH] |Epidemiological Monitoring[MESH] |Health Belief Model[MESH] |Humans[MESH] |Internet/statistics & numerical data[MESH]Harnessing Social Media in the Modelling of Pandemics-Challenges and (epmc).pdf DeepDyve Pubget Overpricing