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.

10.3934/mbe.2020146 http://scihub22266oqcxt.onion/10.3934/mbe.2020146 32233560!ä!32233560 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Math+Biosci+Eng 2020 ; 17 (3): 2676-2692 Nephropedia Template TP {{tp|p=32233560|t=2020. COVID-19 information propagation dynamics in the Chinese Sina-microblog |pdf=|usr=}}{{32233560}} gab.com Text COVID-19 information propagation dynamics in the Chinese Sina-microblog JO: Math Biosci Eng http://www.kidney.de/pget.php?&tw=1&pmid=32233560 #FOAvip The outbreak of a novel coronavirus (COVID-19) generated an outbreak of public opinions in the Chinese Sina-microblog. To help in designing effective communication strategies during a major public health emergency, we propose a multiple-information susceptible-discussing-immune (M-SDI) model in order to understand the patterns of key information propagation on social networks. We develop the M-SDI model, based on the public discussion quantity and take into account of the behavior that users may re-enter another related topic or Weibo after discussing one. Data fitting using the real data of COVID-19 public opinion obtained from Chinese Sina-microblog can parameterize the model to make accurate prediction of the public opinion trend until the next major news item occurs. The reproduction ratio has fallen from 1.7769 and maintained around 0.97, which reflects the peak of public opinion has passed but it will continue for a period of time. Twit Text FOAVip COVID-19 information propagation dynamics in the Chinese Sina-microblog ????Math Biosci Eng http://www.kidney.de/pget.php?&tw=1&pmid=32233560 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32233560 #FOAvip English Wikipedia <ref>{{Cite pmid|32233560}}</ref> COVID-19 information propagation dynamics in the Chinese Sina-microblog #MMPMID32233560 Yin FL; Lv JH; Zhang XJ; Xia XY; Wu JH Math Biosci Eng 2020[Mar]; 17 (3): 2676-2692 PMID32233560show ga The outbreak of a novel coronavirus (COVID-19) generated an outbreak of public opinions in the Chinese Sina-microblog. To help in designing effective communication strategies during a major public health emergency, we propose a multiple-information susceptible-discussing-immune (M-SDI) model in order to understand the patterns of key information propagation on social networks. We develop the M-SDI model, based on the public discussion quantity and take into account of the behavior that users may re-enter another related topic or Weibo after discussing one. Data fitting using the real data of COVID-19 public opinion obtained from Chinese Sina-microblog can parameterize the model to make accurate prediction of the public opinion trend until the next major news item occurs. The reproduction ratio has fallen from 1.7769 and maintained around 0.97, which reflects the peak of public opinion has passed but it will continue for a period of time. |*Betacoronavirus[MESH] |*Coronavirus Infections/epidemiology[MESH] |*Information Dissemination[MESH] |*Information Seeking Behavior[MESH] |*Models, Statistical[MESH] |*Pandemics[MESH] |*Pneumonia, Viral/epidemiology[MESH] |*Social Media[MESH] |COVID-19[MESH] |China[MESH] |Communication[MESH] |Disease Outbreaks[MESH] |Humans[MESH] |Information Storage and Retrieval[MESH] |Public Health[MESH]COVID-19 information propagation dynamics in the Chinese Sina-microblo(epmc).pdf DeepDyve Pubget Overpricing